JP6194282B2 - Information processing apparatus, information processing method, and program - Google Patents

Description

The present invention relates to an information processing apparatus for calculating a necessary bandwidth in a future design target period, assuming that a new communication line is added and accommodated for a communication link accommodating a plurality of communication lines , and information In connection with processing methods and programs, especially when calculating the required bandwidth, optimize the traffic observation period for each facility to reduce the cost of observing, collecting and accumulating traffic data without compromising the accuracy of bandwidth calculation. The present invention relates to an information processing apparatus , an information processing method, and a program.

  Conventionally, in a communication network, parameters relating to traffic, for example, parameters given decisively represented by average traffic volume and maximum burst size, or parameters statistically (probabilistically) determined using a statistical model are used. Is used to evaluate traffic characteristics. In addition, by designating QoS (Quality of Service) as the target value of the quality of the communication service provided via the communication network, the communication network is designed, operated, and managed to achieve that quality. . At this time, a technique for performing periodic traffic observation and predicting a traffic amount at a future time point based on the statistics of the time series data becomes important.

  As a technique for predicting the traffic volume of the telephone service using the statistics of the observed time-series traffic data, for example, there is a technique referred to and proposed in Non-Patent Document 1.

  There are communication services that provide companies and individuals with the ability to freely use a certain communication band based on a prior contract. In this communication service, since a plurality of companies and individuals share and use a single band facility, it is called a band sharing type communication service.

  Patent Documents 1 to 3 have been proposed as technologies relating to calculation of a necessary bandwidth in a design target period assuming a case where a new communication line is added for a shared bandwidth communication service.

JP 2009-206698 A JP 2009-218820 A JP 2011-130330 A

Hiromichi Kawano et al., "Traffic Prediction Method for Macro Analysis and its Evaluation", IEICE B, Vol. J-82-B, No. 6, pp. 1107-1114, 1999.

  When providing a shared bandwidth communication service, calculate the necessary bandwidth for the future design target period, assuming that a new communication line is added and accommodated for communication links that accommodate multiple communication lines. In order to perform the measurement with high accuracy, it is important that traffic data having an observation period as short as possible is accumulated over a long period of time, which is ideal. However, at that time, a trade-off occurs that the cost of server equipment and storage equipment required for collecting and accumulating traffic data increases.

  In addition, when the traffic volume is observed with a relatively long observation period, it is necessary to design a facility with a large surplus assuming a relatively large value for the range of the traffic fluctuation as an instantaneous fluctuation. . Therefore, setting a long observation period affects the increase in equipment cost because the equipment amount is designed to be relatively surplus. Moreover, packet capture analysis is generally used to evaluate this fluctuation range. The packet capture analysis accumulates information about all communication packets that pass through the facility to be observed, and the amount of data of the accumulated communication packets is extremely large. Therefore, the implementation is an analysis that requires a very high cost in proportion to the length of the observation period. Continuously, for example, when traffic observation is performed at a cycle of 5 minutes, packet capture is performed every 5 minutes to evaluate short-term fluctuation, but traffic observation continues at a cycle of 60 minutes. When it is carried out automatically, it is necessary to carry out packet capture every 60 minutes. In other words, when the MIB (Management Information Base) observation period is long, packet capture will be performed for a longer time. In this respect, this causes an increase in the cost of performing the capture, and extraordinary high-accuracy traffic observation On the contrary, there is an aspect that it becomes more difficult to do.

The present invention has been made in view of the above points, and information processing that can reduce the storage cost of traffic data by optimizing the traffic observation period under conditions that do not impair the accuracy of traffic prediction. An object is to provide an apparatus , an information processing method, and a program.

According to one aspect, for one or a plurality of communication lines accommodated in a communication link, network information collection means for acquiring a time-series observed traffic amount observed from the communication link;
Using the observed traffic volume of the time series, optimizes evaluation of traffic observation cycle for the communication equipment, and an observation period optimizing means for instructing a setting change to the optimized traffic collection period in the network information collecting means Have
The observation period optimization means includes
When performing an optimization evaluation of the traffic observation period for communication equipment, each of the cost function related to the observation, collection, and accumulation of traffic data in the period T and the cost function of the facility amount is used as a parameter. An information processing apparatus including means used as a polynomial is provided.

  According to one aspect, when calculating a bandwidth required for a communication link that accommodates a plurality of communication lines, the traffic observation period is optimized for each communication link, and the traffic data is calculated without losing the accuracy of bandwidth calculation. It is possible to reduce the cost of observation, collection and storage.

The structural example of the communication band calculation apparatus in one embodiment of this invention. The structural example of the communication link in one embodiment of this invention. The structural example of the communication line in one embodiment of this invention. The flowchart which shows the required band calculation process of the communication band calculation apparatus in one embodiment of this invention. The block diagram of the observation period optimization part in one embodiment of this invention. The flowchart which shows the process of the observation period optimization part in one embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a configuration example of a communication band calculation apparatus according to an embodiment of the present invention.

  In an embodiment of the present invention, a situation is assumed in which execution of bandwidth calculation is continuously performed in units of a certain period. That is, for example, a necessary bandwidth is calculated in units of a certain period such as one month or one week. Similarly, regarding the observed traffic volume for calculation, it is assumed that statistical processing and the like are performed by collecting measurement data for a certain period. In order to clarify the concept of these periods, it is expressed as a future design target period or an observation period of the observed traffic volume.

  In the description of the present invention, the time point at which the bandwidth calculation is performed is referred to as the design time point. However, the design time point is the future compared to the observation period, and the past compared to the design target period.

  The communication band calculation device 10 of the present invention is composed of an information processing device such as a server device using a computer as a whole, and is superposed on the observed traffic amount of the communication link 30 to be designed to connect the nodes 21 and 22 and the communication link 30 Network information including contract information relating to each communication line being obtained is acquired from the communication network 20 or an operation system 23 that manages and operates the communication network 20, and a future design target period of the communication link 30 based on the network information. Has a function of calculating a communication band necessary for ensuring communication of traffic volume.

FIG. 2 is a configuration example of a communication link. A plurality of communication lines can be accommodated for the communication link 30. Information such as the maximum communication bandwidth for each communication line is defined as contract information. The contract information is included in the network information. Let B _{i be the} maximum communication bandwidth for communication line i. The maximum communication bandwidth is also called contract bandwidth. The contracted bandwidth is generally standardized. If each standard is referred to as a contracted bandwidth category, in the example of FIG. 2, three types of contracted bandwidth categories 31, 32, and 33 are each less than 10 Mbps. , 10 Mbps or more and less than 100 Mbps, and 100 Mbps or more and less than 1000 Mbps, which indicates that the communication link 30 is accommodated.

  FIG. 3 is a configuration example of a communication line. It is an example of the number of communication lines for each contracted bandwidth category accommodated in the communication link 30. Of these, the contracted bandwidth category 31 has a communication line number of less than 10 Mbps, 200 lines, the contracted bandwidth category 32 has a communication line number of 10 Mbps or more and less than 100 Mbps, and the contracted bandwidth category 33 has a contracted bandwidth category 33 of 100 Mbps or more and less than 1000 Mbps. The number is a case where three lines are accommodated.

The communication band calculation device 10 of the present embodiment is
(1) Obtain the observed traffic volume observed in time series from the target communication link 30;
(2) After removing abnormal values from these observed traffic volumes, calculate a plurality of representative values in time series for the remaining observed traffic volumes,
(3) For each of these representative values, a traffic usage rate indicating the ratio of the representative value to the total sum of contracted bandwidths (referred to as “total contracted bandwidth”) for each communication line accommodated in the entire communication link. Calculate
(4) Of the traffic usage rates, the traffic usage rate is greater than a preset upper limit value, and the observed traffic volume related to the traffic usage rate is less than or equal to the allowable traffic volume set in advance for the physical bandwidth of the communication link By calculating the corrected traffic usage rate by setting the upper limit to
(5) For each communication line, calculate the expected utilization rate of the newly accommodated communication line in the future design target period based on the time-series corrected traffic utilization rate for the communication line,
(6) Based on the expected usage rate for each communication line, processing is performed to calculate the necessary bandwidth of the communication link that is newly required during the design target period.

  Next, with reference to FIG. 1 and FIG. 4 showing a flow of necessary band calculation processing, the configuration of the communication band calculation apparatus 10 according to the present embodiment will be described in detail.

  The communication band calculating device 10 includes, as main functional units, a communication interface unit (hereinafter referred to as a communication I / F unit) 11, an operation input unit 12, a screen display unit 13, a network information database (hereinafter referred to as a network information DB). 14, a storage unit 15, and an arithmetic processing unit 16 are provided and are connected to each other via an internal bus so as to exchange data.

  The communication I / F unit 11 includes a dedicated data communication circuit, and has a function of performing packet communication with external devices such as the nodes 21 and 22 and the operation system 23 of the communication network 20.

The operation input unit 12 includes an operation input device such as a keyboard and a mouse, and has a function of detecting an operation of the operator and outputting the operation to the arithmetic processing unit 16.

  The screen display unit 13 includes a screen display device such as an LCD (Liquid Crystal Display) or PDP (Plasma Display Panel), and displays various information such as operation menus and calculation results on the screen according to instructions from the arithmetic processing unit 16. It has a function.

The network information DB 14 is composed of a storage device such as a hard disk, and has a function of storing and storing various processing information used for necessary bandwidth calculation processing in the arithmetic processing unit 16. Specifically, the observed traffic volume {y (t)}, contract bandwidth B _i , traffic utilization rate xr (t) for each representative value x (t), and contract bandwidth set S (t) are stored.

  The storage unit 15 includes a storage device such as a hard disk or a memory, and has a function of storing various processing information and programs used for necessary bandwidth calculation processing in the arithmetic processing unit 16.

  The arithmetic processing unit 16 includes a microprocessor such as a CPU and its peripheral circuits, and reads and executes a program in the storage unit 15 to thereby execute a network information collection unit 16A and a traffic utilization rate calculation unit 16B as main processing units. The traffic utilization rate correction unit 16C, the expected utilization rate calculation unit 16D, the necessary bandwidth calculation unit 16E, and the observation period optimization unit 16F are provided.

The network information collecting unit 16A, for the target communication link, the observed traffic amount {y (t)} obtained by observing the communication link in time series, and the contract bandwidth B for the communication line i accommodated in the communication link _It has a function of acquiring network information including _i and storing it in the network information DB 14 (FIG. 4, step 100).

Traffic utilization rate calculation unit 16B receives the observed traffic from network information DB14 and {y (t)} the contracted bandwidth B _i (Fig. 4, step 110) to remove outliers, for the remaining observations traffic volume, A function for calculating a representative value of the observed traffic amount for each observation period (FIG. 4, step 120), and a traffic utilization rate indicating a ratio of the representative value to the total contracted bandwidth of the communication link 30 for each representative value. It has a function of calculating and saving in the network information DB 14 (FIG. 4, step 130).

  Hereinafter, step 120 will be described in detail.

  In a transient period in which sufficient communication lines are not accommodated in the communication link 30 to obtain the statistical multiplexing effect, an extremely large amount of observed traffic may be instantaneously observed for any communication link. In order to eliminate an extremely large amount of observed traffic that is not appropriate to be referred to in order to calculate the bandwidth in this way, for example, in order from the one showing the largest value among the observed traffic amounts observed in a certain observation period T. It is sufficient to remove as abnormal values by the number corresponding to the preset removal threshold value. When the observation period is t, the traffic amount observed within the period and to be referred to in bandwidth calculation is defined as a representative value x (t). Here, the maximum value of the observed traffic volume after removing the abnormal value is specifically determined as the representative value x (t). Other methods for calculating the representative value may be calculated using general statistical processing such as a maximum value and an average value based on the necessary bandwidth calculation policy.

  Hereinafter, step 130 will be described in detail.

  The traffic utilization rate xr (t) for the representative value x (t) of the observation period t of the communication link 30 is calculated by the following equation (1). That is, if the set S (t) of contracted bandwidths of communication lines accommodated in the communication link 30 and already used in the observation period t, the contracted bandwidth Bi of the communication line i included in S (t) The sum, that is, the total contracted bandwidth is defined as the value obtained by dividing the representative value x (t).

トラヒック利用率補正部１６Ｃは、ネットワーク情報ＤＢ１４のトラヒック利用率xr(t)を受け取り（図４，ステップ１４０）、予め設定されている上限値ubより大きな値を示し、かつ当該トラヒック利用率xr(t)に関する観測トラヒック量x(t)が通信リンク３０の物理帯域 pbに対して予め設定されている定数ξによって定まる許容トラヒック量pb×ξ以下であるものを、上限値ubとすることにより、トラヒック利用率を上限値以下に補正した補正トラヒック利用率xr_B(t)を算出する機能を有している（図４，ステップ１５０）。

The traffic usage rate correction unit 16C receives the traffic usage rate xr (t) of the network information DB 14 (FIG. 4, step 140), indicates a value larger than a preset upper limit value ub, and the traffic usage rate xr ( By setting the observed traffic amount x (t) related to t) to be the upper limit value ub, which is equal to or less than the allowable traffic amount pb × ξ determined by a constant ξ set in advance for the physical bandwidth pb of the communication link 30, It has a function of calculating a corrected traffic usage rate xr _B (t) in which the traffic usage rate is corrected to an upper limit value or less (FIG. 4, step 150).

  Hereinafter, step 150 will be described in detail.

  When the amount of traffic on the communication link is small, an unstable or high traffic utilization rate may be calculated. For this reason, when the future required bandwidth is calculated using such a traffic utilization rate, an unstable bandwidth design and an excessive required bandwidth are calculated. Therefore, when a sufficient traffic volume is not obtained, a stable traffic usage rate is calculated by setting an upper limit value for the traffic usage rate.

For example, assuming that the physical bandwidth of the communication link 30 is pb, the threshold of the ratio of the traffic volume with respect to this physical bandwidth pb is ξ, and the upper limit value of the traffic utilization rate is ub, The corrected traffic utilization rate xr _B (t +) for the target period t + is obtained.

期待利用率算出部１６Ｄは、通信リンク毎に、トラヒック利用率補正部１６Ｃで補正された、将来の設計目標期間t+の補正トラヒック利用率xr_B(t+)を受け取り（図４，ステップ１６０）、将来の設計目標期間t+に通信リンク３０で新たに利用開始となる通信回線の期待利用率 Q(t+)を算出する機能を有している（図４，ステップ１７０）。

The expected usage rate calculation unit 16D receives the corrected traffic usage rate xr _B (t +) of the future design target period t + corrected by the traffic usage rate correction unit 16C for each communication link (FIG. 4, step 160). It has a function of calculating an expected utilization rate Q (t +) of a communication line that is newly started to be used in the communication link 30 in the future design target period t + (FIG. 4, step 170).

The expected usage rate Q (t +) is a usage rate of communication routing that newly adds a traffic amount in the future design target period t +, and communication already accommodated in the communication link 30 in order not to cause quality degradation. It should be a value obtained by adding an appropriate amount of risk to the corrected traffic utilization rate xr _B (t +) of the line.

As the expected utilization factor Q (t +) of an unknown new communication line, for example, a value obtained by multiplying the average value of xr _B (t +) by a predetermined coefficient, or a standard deviation value of xr _B (t +), a predetermined coefficient A value obtained by multiplying a value obtained by multiplying xr _B (t +) by an average value may be used.

  The required bandwidth calculation unit 16E has a function of receiving the expected utilization rate Q (t +) of the communication link (FIG. 4, step 180) and calculating the required bandwidth of the communication link required for the future design target period t +. (FIG. 4, step 190).

  Here, for example, the network information collection unit 16A calculates a band in an observable unit that can be compared with the observed traffic volume, and further, as a sum of a band for a short-time fluctuation that may occur between the observed units, The necessary bandwidth for the communication link in the future design target period t + is calculated.

In the future design target period t +, let S (t +) be the set of communication lines that have been started.
It can be acquired from the network information DB 14 (FIG. 4, step 195).

  Let F (t +) be the required bandwidth in the future design target period t +. The band in the above observable unit is Fm (t +), and the band for short-time fluctuation is Fsd (t +). Each formula is calculated using the following formulas (3) to (7).

ただし、
S0は、観測期間tで既に利用されている通信回線であって、かつ、将来の設計目標期間t+でも継続して利用されている通信回線の集合とする。
S1は、観測期間tでは未だ利用されていない通信回線であって、かつ、将来の設計目標期間t+では利用されている通信回線の集合とする。
つまり、

However,
S0 is a set of communication lines that are already used in the observation period t and that are continuously used in the future design target period t +.
S1 is a set of communication lines that are not used in the observation period t and are used in the future design target period t +.
That means

ここで、集合演算子−は、差・相対補の演算子を表す。

Here, the set operator − represents a difference / relative complement operator.

ただし、p(t+)は、以下で定義される利用率である。

However, p (t +) is a utilization rate defined below.

次に、図４を参照して、本実施の形態にかかる通信帯域算出装置１０の動作について説明する。図４は、本発明の一実施の形態における通信帯域算出装置の必要帯域算出処理を示すフロー図である。

Next, with reference to FIG. 4, the operation of the communication band calculating device 10 according to the present embodiment will be described. FIG. 4 is a flowchart showing the necessary bandwidth calculation processing of the communication bandwidth calculation apparatus according to the embodiment of the present invention.

Step 100) First, the arithmetic processing unit 16 of the communication band calculating device 10 uses the network information collecting unit 16A to determine one or a plurality of communication lines accommodated in the target communication link 30 from the communication line in time series. The observed traffic volume {y (t)} observed in step (b ₎ and the maximum communication band B _i of the communication line are acquired and stored in the network information DB 14.

Step 110) Next, the arithmetic processing unit 16 obtains the time-series observed traffic amount {y (t)} stored in the network information DB 14 and the maximum communication bandwidth B _i of the communication line by the traffic utilization rate calculating unit 16B. To do.

Step 120) The traffic utilization rate calculation unit 16B sets the time-series observed traffic amount {y (t)}.
After the abnormal value is removed, the representative value x (t) is calculated for each observation period t with respect to the remaining observed traffic volume, and the representative value for the communication bandwidth of the entire communication link 30 is calculated for each representative value x (t). A traffic utilization rate xr (t) indicating the ratio of the value x (t) is calculated based on the above-described equation (1).

  Step 130) The traffic usage rate calculation unit 16B stores the calculated traffic usage rate xr (t) in the network information DB 14.

  Step 140) Subsequently, the arithmetic processing unit 16 reads the traffic usage rate xr (t) stored in the network information DB 14 based on the above-described equation (2) by the traffic usage rate correction unit 16C.

Step 150) The traffic utilization rate correction unit 16C indicates a value larger than a preset upper limit ub preset in the storage unit 15 in the traffic utilization rate xr (t), and the traffic utilization rate xr The time-series observed traffic amount {y (t)} related to (t) is less than the allowable traffic amount pb × ξ preset in the storage unit 15 with respect to the physical bandwidth pb of the communication link 30. By using the value ub, a corrected traffic usage rate xr _B (t +) is calculated by correcting the traffic usage rate to be equal to or less than the upper limit value.

Step 160) The traffic usage rate correction unit 16C outputs the calculated corrected traffic usage rate xr _B (t +) to the expected usage rate calculation unit 16D.

Step 170) Next, the arithmetic processing unit 16 corrects the time-series corrected traffic usage rate xr _B (for the communication line, corrected by the traffic usage rate correction unit 16C for each communication line by the expected usage rate calculation unit 16D. Based on t +), the expected utilization factor Q (t +) of the communication line that is newly required in the communication link 30 in the future design target period is calculated.

  Step 180) The expected usage rate calculation unit 16D outputs the expected usage rate Q (t +) of the communication line to the necessary bandwidth calculation unit 16E.

  Step 190) Thereafter, the arithmetic processing unit 16 uses the required bandwidth calculation unit 16E to calculate the expected usage rate Q (t +) calculated by the traffic usage rate correction unit 16C and the communication line to be calculated obtained from the network information DB 14. Using the set S (t +) and the parameters c1, c2, c3 given from the outside, based on the above-mentioned formulas (3) to (7), the necessary bandwidth F of the communication link necessary for the design target period t + ( t +) is calculated.

  Hereinafter, the operation of the observation cycle optimization unit 16F will be described in detail.

  FIG. 5 is a block diagram of the observation period optimization unit in one embodiment of the present invention. The observation cycle optimization unit 16F includes a traffic distribution creation unit 16Fa, a comparative evaluation unit 16Fb, an optimum cycle determination unit 16Fc, and an observation cycle setting unit 16Fd.

  FIG. 6 is a flowchart showing processing of the observation period optimization unit in the embodiment of the present invention.

  Step 200) The traffic distribution creating unit 16Fa first receives from the network information DB 14 the time-series observed traffic amount of the facility whose observation cycle is to be optimized. Here, the observation cycle of the observed traffic volume is assumed to be 5 minutes, but this is for ease of explanation, and the same is true for different cycles. Next, for the purpose of maintaining and managing the quality of communication service provision, a traffic distribution is created from the observed traffic volume of the equipment. More specifically, it is assumed that a preset percentage point of the traffic distribution, for example, 99% point is calculated. With this function, it is assumed that the 99% point in the traffic data with a 5-minute cycle is, for example, 100 Mbps.

  Next, a traffic distribution when the observation period is extended is created. Here, the discussion will be made assuming that the traffic distribution is extended when the period is extended to 60 minutes, but it is obvious that a traffic distribution that is a constant multiple of the observation period of 5 minutes can be created. In the traffic distribution when the period is extended to 60 minutes, it is assumed that, for example, the 99% point is calculated to be 103 Mbps. In this example, the 99% point of the traffic distribution has been discussed. More generally, however, a statistical numerical value obtained by an arbitrary predetermined calculation procedure using a large number of traffic observation values that vary greatly depending on time as an input. It may be created as output.

  Step 210) The comparative evaluation unit 16Fb performs comparative evaluation of the cost reduction effect by extending the observation period. In the above example, the traffic data amount is 1/12 in the 5-minute period and 60-minute period. Therefore, the cost related to the observation, collection, and accumulation of traffic data is simply changed to 1/12. Can think. On the other hand, the 99% value of the observed traffic distribution has increased by 3%. Therefore, in order to provide a communication service of the same quality in the equipment, if the equipment amount is simply required to be 3%, the equipment cost is reduced. It can be evaluated that it increases by about 3%. By having the cost information of observation, collection and accumulation and the information of equipment cost held inside, the traffic observation is in a 5-minute period, but the effect on the overall cost by changing to a 60-minute period is evaluated. be able to.

More generally, when the cost function Co (l) is related to the observation, collection, and accumulation of traffic data at the observation period l, and the percentage value of the traffic distribution that serves as the design standard for the facility quantity is Bp (l) Let K (Bp (l)) be the cost function of the amount of equipment. At this time, when the current observation period is l = τ, when the period is extended to l = τ ′, the overall cost reduction effect is
Co (τ) −Co (τ ′) + K (Bp (τ)) − K (Bp (τ ′))
It becomes. Such a cost function may be provided in advance as a polynomial having the observation period l as a parameter.

  Step 220) In the optimum cycle determining unit 16Fc, the cost evaluation from the comparative evaluation unit 16Fb is used as an input to reduce the cost whether the current 5-minute cycle can be left or the cycle is changed to a 60-minute cycle as a candidate for cycle extension. Determine from the measure of effectiveness. Alternatively, in addition to 60 minutes, an observation period with an optimal cost reduction effect may be selectively determined as compared with other periods such as 20 minutes and 30 minutes.

  However, it is characterized by adding the following considerations. In general, the longer the observation period, the lower the equipment cost for traffic data observation, collection, and storage, but conversely, it becomes difficult to estimate instantaneous short-term fluctuations at the packet level. However, there is a trade-off aspect that it is necessary to increase the amount of equipment. The momentary short-time fluctuations at the packet level have been gradually increasing due to the progress and evolution of the communication applications used, the improvement of the transfer performance of communication terminals and servers, and the development of communication protocol functions. In order to estimate short-term fluctuations with appropriate accuracy, it is important to consistently observe and accumulate traffic data in the shortest possible cycle.

  Therefore, for some communication facilities, the traffic observation period is consistently maintained at the minimum time (for example, 5 minutes). Because there are various types of communication equipment and the characteristics of short-term fluctuations differ depending on the type of communication service, it is necessary to change the amount of equipment required even if the traffic volume observed in the same observation period is the same. In addition, it is necessary to consider that traffic data cannot be statistically processed effectively unless it has been accumulated for a long period of time (for example, at least 2 years). Therefore, regardless of the type of equipment or the combination conditions of major communication services that occupy the traffic passing through the equipment, set up equipment groups that include at least one equipment, or the equipment utilization rate. An equipment group that includes higher-order equipment is set, and a equipment group list that maintains the traffic observation period with the shortest period is maintained. For equipment not included in the equipment group, the change to the optimum observation cycle shall be determined in consideration of the expected cost reduction effect. If there is a change in the equipment group list that maintains the shortest cycle, update processing such as additional registration and deletion is performed.

  Step 230) The observation cycle setting unit 16Fd receives the input from the optimum cycle determination unit 16Fc, and sets / changes the traffic data observation cycle of each facility for the network information collection unit 16A.

  The operation of each component of the arithmetic processing unit 16 of the communication band calculation device 10 in FIG. 1 is constructed as a program and installed in a computer used as the communication band calculation device to be executed, or via a network. Can be distributed.

  The present invention is not limited to the above-described embodiments, and various modifications and applications are possible within the scope of the claims.

10 Communication Band Calculation Device 11 Communication I / F Unit 12 Operation Input Unit 13 Screen Display Unit 14 Network Information DB
DESCRIPTION OF SYMBOLS 15 Memory | storage part 16 Arithmetic processing part 16A Network information collection part 16B Traffic utilization rate calculation part 16C Traffic utilization rate correction | amendment part 16D Expected utilization rate calculation part 16E Necessary band calculation part 16F Observation period optimization part 16Fa Traffic distribution creation part 16Fb Comparison evaluation part 16Fc Optimal period determination unit 16Fd Observation period setting unit 30 Communication link 31, 32, 33 Contracted bandwidth category

Claims (9)

For one or more communication lines are accommodated in communications link, the network information acquisition unit that acquires observation traffic time series observed from the communication link,
Using the observed traffic volume of the time series, optimizes evaluation of traffic observation cycle for the communication equipment, and an observation period optimizing means for instructing a setting change to the optimized traffic collection period in the network information collecting means Have
The observation period optimization means includes
When performing an optimization evaluation of the traffic observation period for communication equipment, each of the cost function related to the observation, collection, and accumulation of traffic data in the period T and the cost function of the facility amount is used as a parameter. Includes means for use as a polynomial
Information processing device. For one or more communication lines are accommodated in communications link, the network information acquisition unit that acquires observation traffic time series observed from the communication link,
Using the observed traffic volume of the time series, optimizes evaluation of traffic observation cycle for the communication equipment, and an observation period optimizing means for instructing a setting change to the optimized traffic collection period in the network information collecting means Have
The observation period optimization means includes
When optimizing the traffic observation period for each equipment unit,
Set up an equipment group that includes at least one equipment for each type of equipment and combination conditions of major communication services that occupy traffic through the equipment, or include higher-order equipment in terms of equipment utilization A facility group list that sets the equipment group to be maintained and maintains the traffic observation cycle with the shortest cycle, and includes means for determining an optimum observation cycle for equipment not included in the equipment group list
Information processing device. After removing abnormal values from the observed traffic volume, a plurality of representative values are calculated in time series for the remaining observed traffic volume, and the ratio of the representative value to the communication band of the entire communication link for each representative value Traffic usage rate calculating means for calculating traffic usage rates indicating
Among the traffic utilization rates, the traffic utilization rate is larger than a preset upper limit value, and the observed traffic amount related to the traffic utilization rate is preset for the physical bandwidth of the communication link. Traffic utilization rate correction means for calculating a corrected traffic utilization rate that is corrected to be equal to or less than the upper limit value with the traffic utilization rate being:
For each communication line, based on the time-series corrected traffic utilization rate related to the communication line, expected utilization rate calculating means for calculating an expected utilization rate of the communication line that is newly required in the future design target period;
Necessary bandwidth calculating means for calculating a necessary bandwidth of the communication line that is newly required in the design target period based on the expected utilization rate for each of the communication lines;
The information processing apparatus according to claim 1, further comprising: The necessary bandwidth calculating means includes
The information processing apparatus according to claim 3 further comprising means for determining a required bandwidth for the communication line of new Te Shun Kazu of bands for a short time fluctuations that may occur in the observation unit time. The necessary bandwidth calculating means includes
The average amount of traffic that is the band component corresponding to the observed traffic volume representing the observation period t, and the short-term time that is the necessary bandwidth component corresponding to the fluctuation of the observed traffic volume in a short time shorter than the observation period of the observed traffic volume The information processing apparatus according to claim 4, further comprising means for calculating a necessary bandwidth of the communication line using a sum of fluctuation amounts. Information processing device
For one or more communication lines are accommodated in communications link, the network information collection step of acquiring observation traffic time series observed from the communication link,
Using the observed traffic amount before Symbol time series, optimizes evaluation of traffic observation period for communication facilities, the observation cycle optimization step of instructing the setting change to the optimized traffic collection period in the network information collection step Run
The observation period optimization step includes:
When performing an optimization evaluation of the traffic observation period for communication equipment, each of the cost function related to the observation, collection, and accumulation of traffic data in the period T and the cost function of the facility amount is used as a parameter. An information processing method characterized by being used as a polynomial . Information processing device
For one or more communication lines are accommodated in communications link, the network information collection step of acquiring observation traffic time series observed from the communication link,
Using the observed traffic amount before Symbol time series, optimizes evaluation of traffic observation period for communication facilities, the observation cycle optimization step of instructing the setting change to the optimized traffic collection period in the network information collection step Run
The observation period optimization step includes:
When optimizing the traffic observation period for each equipment unit,
Set up an equipment group that includes at least one equipment for each type of equipment and combination conditions of major communication services that occupy traffic through the equipment, or include higher-order equipment in terms of equipment utilization An equipment group list that maintains the traffic observation period with the shortest period, and determines an optimum observation period for equipment that is not included in the equipment group list. An information processing method characterized by the above. After removing abnormal values from the observed traffic volume, a plurality of representative values are calculated in time series for the remaining observed traffic volume, and the ratio of the representative value to the communication band of the entire communication link for each representative value A traffic usage rate calculating step for calculating traffic usage rates indicating
Among the traffic utilization rates, the traffic utilization rate is larger than a preset upper limit value, and the observed traffic amount related to the traffic utilization rate is preset for the physical bandwidth of the communication link. A traffic usage rate correction step for calculating a corrected traffic usage rate that is corrected to be equal to or lower than the upper limit value with the traffic usage rate being:
An expected utilization rate calculating step for calculating an expected utilization rate of a communication line that is newly required in a future design target period based on the time-series corrected traffic utilization rate for the communication line for each communication line;
A necessary bandwidth calculating step of calculating a necessary bandwidth of the communication line that is newly required in the design target period based on the expected utilization rate for each of the communication lines;
The information processing method according to claim 6 or 7 , wherein the information processing apparatus executes . Computer
Program to function as each unit of the information processing apparatus according to any one of claims 1 to 5.

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