CN102281290A - Emulation system and method for a PaaS (Platform-as-a-service) cloud platform - Google Patents
Emulation system and method for a PaaS (Platform-as-a-service) cloud platform Download PDFInfo
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Abstract
The invention discloses an emulation system for a PaaS (Platform-as-a-service) cloud platform. A static model comprises a node model, a topology model, a link model, an application model and a user model, wherein the node model is used for determining computing resources, communication resources and application deployment conditions; the topology module is used for determining role definition of each node and topology connecting conditions; the link model is used for determining communication link attribute of the node; the application model is used for determining computing resource spending, communication resource spending and time delay for application logic and application processing; the user model is used for determining user requirement distribution and user requirement achieving conditions; the dynamic model comprises a control model, a protocol model and an event model, wherein the control model is used for determining operation logic and layout relationship of application and node as well as selecting a mode of processing nodes for business request after reaching the business request; the protocol model is used for determining an interacting framework of the PaaS cloud platform; and the event model is used for determining dynamic events with uncertainty generated in a PaaS cloud platform operating process. The invention discloses an emulation method based on the system. According to the emulation system for the PaaS cloud platform and the emulation method for the PaaS cloud platform disclosed by the invention, emulation load conditions of the node in the PaaS cloud platform can be determined.
Description
Technical field
The present invention relates to the emulation technology based on the PaaS cloud platform of cloud computing technique construction, the simulation model and the performance evaluation index that relate in particular to PaaS cloud platform are determined method.
Background technology
Along with popularizing day by day and a large amount of industrial applications of cloud computing of cloud computing technology, cloud computing is more and more approved by industry in the advantage of the aspects such as extensibility of the high availability that realizes service, disposal ability.The cloud computing technology is combined with professional open PaaS cloud platform, not only can provide the more available flexible basic PaaS cloud platform of expansion that has more for professional PaaS cloud platform, can also organize being distributed in various places hardware resource everywhere, improve the utilance of hardware resource greatly, that promotes business and run increases income and economizes on spending.In three kinds of application forms of cloud computing, the PaaS form is the optimised form that the cloud computing technology combines with professional open PaaS cloud platform.PaaS is meant a complete computer PaaS cloud platform, comprises Application Design, application and development, application testing and AH, all offers the client as a kind of service.At present, there has been a large amount of PaaS cloud examples of platforms on the Internet, as GAE (Google App Engine), SAE (Sina App Engine) etc.
Yet, also can introduce a series of uncertain factor based on cloud computing technique construction PaaS cloud platform.For example, when being deployed in the PaaS cloud platform, new application need need select the service node that suits to handle the request of respective application, yet when service node quantity and number of applications are all very big, which kind of service node selection algorithm is the most efficient, and resource utilization is the highest will to be the content that needs further investigation.Along with PaaS cloud platform is promoted and use on a large scale, how effectively emulation is carried out in the running of whole PaaS cloud platform, the quality of probing into various scheduling of resource and allocation algorithm becomes the problem of needing solution badly.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of analogue system and method for PaaS cloud platform, can realize emulation, and can assess the performance of PaaS cloud platform, for the deployment of PaaS cloud platform provides reference frame according to serial evaluation index to PaaS cloud platform.
For arriving above-mentioned purpose, technical scheme of the present invention is achieved in that
A kind of PaaS cloud platform emulation system, this system comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method is used for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model is used for determining that the role of each node divides and the connection topology situation;
The link model is used for the communication link attribute between definite node;
Application model is used for determining applied logic, uses the computational resource expense in each stage of handling, and uses the communication resource expense in each stage of handling, and, use the time delay of handling;
User model is used for determining that the user asks to distribute, and the user asks the arrival situation;
Described dynamic model comprises:
Controlling models is used for determining the operation logic of PaaS cloud platform, determines to use the deployment relation with node, determines that service request arrives behind the PaaS cloud platform mode for this service request selection processing node;
Protocol model is used for determining the interactive frame of PaaS cloud platform;
Event model is used for determining that PaaS cloud platform has probabilistic dynamic event what running took place.
Preferably, described controlling models determines that the deployment of using with node concerns, for
Described controlling models determines that new business disposes to the rule of PaaS cloud platform; When traffic carrying capacity reduces, determine to reduce the rule of using copy amount; When traffic carrying capacity increases, determine to increase the rule of using copy amount; And, when node withdraws from, the processing rule of PaaS cloud platform.
Preferably, the interactive frame of described PaaS cloud platform specifically comprises each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
Preferably, describedly have a probability distribution that probabilistic dynamic event comprises that event type, incident take place.
Preferably, described system also comprises:
Acquiring unit is used for obtaining the load factor and the load variance of the analogue system running of described PaaS cloud platform; Wherein, described load factor is that during the whole service of PaaS cloud platform, load surpasses the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load surpasses the variance of proportion of number of nodes with total number of nodes of setting threshold.
A kind of emulation mode of the analogue system based on PaaS cloud platform, the analogue system of described PaaS cloud platform comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method is used for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model is used for determining that the role of each node divides and the connection topology situation;
The link model is used for the communication link attribute between definite node;
Application model is used for determining applied logic, uses the computational resource expense in each stage of handling, and uses the communication resource expense in each stage of handling, and, use the time delay of handling;
User model is used for determining that the user asks to distribute, and the user asks the arrival situation;
Described dynamic model comprises:
Controlling models is used for determining the operation logic of PaaS cloud platform, determines to use the deployment relation with node, determines that service request arrives behind the PaaS cloud platform mode for this service request selection processing node;
Protocol model is used for determining the interactive frame of PaaS cloud platform;
Event model is used for determining that PaaS cloud platform has probabilistic dynamic event what running took place;
Move the analogue system of described PaaS cloud platform, obtain load factor and load variance in the analogue system running of described PaaS cloud platform; Wherein, described load factor is that during the whole service of PaaS cloud platform, load surpasses the number of nodes of setting threshold and the average of the ratio of total number of nodes; Described load variance is that load surpasses the variance of proportion of number of nodes with total number of nodes of setting threshold.
Preferably, described controlling models determines that the deployment of using with node concerns, for
Determine that by described controlling models new business disposes to the rule of PaaS cloud platform; When traffic carrying capacity reduces, determine to reduce the rule of using copy amount; When traffic carrying capacity increases, determine to increase the rule of using copy amount; And, when node withdraws from, the processing rule of PaaS cloud platform.
Preferably, the interactive frame of described PaaS cloud platform specifically comprises each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
Preferably, describedly have a probability distribution that probabilistic dynamic event comprises that event type, incident take place.
The present invention is by carrying out emulation to PaaS cloud platform, and the analogue system of operation PaaS cloud platform, thereby determines the load factor and the load variance of the analogue system of PaaS cloud platform.Like this, the load factor and the load variance of the analogue system by PaaS cloud platform, can roughly simulate the load factor and the load variance of actual PaaS cloud platform, can dispose targetedly when actual node is disposed, be unlikely the treatment effeciency that causes the heavier node whole PaaS cloud platform of PaaS cloud platform load because of processing speed influences.
Description of drawings
Fig. 1 is the composition structural representation of analogue system of the PaaS cloud platform of the embodiment of the invention;
Fig. 2 is the flow chart of emulation mode of the PaaS cloud platform of the embodiment of the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, by the following examples and with reference to accompanying drawing, the present invention is described in further detail.
Fig. 1 is the composition structural representation of analogue system of the PaaS cloud platform of the embodiment of the invention, and as shown in Figure 1, the analogue system of the PaaS cloud platform of the embodiment of the invention is divided into the two large divisions, is respectively static models and dynamic model.
Wherein, static models further are divided into five submodels, are respectively: nodal analysis method, topological model, link model, application model and user model.
Nodal analysis method is used for the situation of each node of definite PaaS cloud platform, comprises following content:
The computational resource situation of each node: cpu resource total amount and surplus, memory source total amount and surplus, and, hard disk total resources and surplus.
The communication resource situation of each node: communication bandwidth total resources and surplus, linking number total resources and surplus.
Application deployment situation in each node, the i.e. list of application of node deploy.
Topological model is used for determining the level distribution situation of PaaS cloud platform node, comprises following content:
The role of each node divides, as application cluster management, intelligent use route or application server cluster.
The connection topology situation of each node.
The link model is used for the communication link attribute between definite PaaS cloud platform node, comprises following content: the link delay situation, and, the link bandwidth situation.
The situation of each application that application model is used for determining that PaaS cloud platform is disposed, comprise following content: applied logic (as Request-Response pattern, conversation modes etc.), use the computational resource expense (CPU, internal memory, hard disk) in each stage of handling, use the communication resource expense (communication bandwidth, linking number) in each stage of handling, use the time delay of handling, and, the user model of application.
User model is used for determining the user situation of application-specific, comprise following content: the user asks distribution (according to the one day 24 hours different user's request amount of configuration), the user asks the arrival situation, the distribution situation of user's request that promptly (as 1 hour) arrives in the specific period.
Dynamic model is divided into three submodels, is respectively: controlling models, protocol model and event model.
Controlling models is used for determining the operation logic of PaaS cloud platform, comprises following content: the deployment relation to node is used in the resource scheduling algorithm definition, relates to following algorithm:
New business is disposed to the rule of PaaS cloud platform;
When traffic carrying capacity reduces, reduce the rule of using copy amount;
When traffic carrying capacity increases, increase the rule of using copy amount;
When node withdraws from, the processing rule of PaaS cloud platform; And
Service request of task scheduling algorithm definition arrives the application processing rule of PaaS cloud platform behind the PaaS cloud platform, and promptly service request is selected the rule of processing node for this reason.Need to prove that above-mentioned various rules can be different for different PaaS cloud platforms, still, after PaaS cloud platform was determined, above-mentioned processing rule was stable and confirmable in the period of a fixed length.Above-mentioned rule is configured in the PaaS cloud platform by the attendant.
Protocol model is used for determining the interactive frame of PaaS cloud platform, i.e. custom protocol message comprises following content: each Field Definition of agreement, and protocol message bag size, and, the interaction flow of protocol message.It will be appreciated by those skilled in the art that interactive frame abides by the general communication protocol framework that PaaS cloud platform is supported.It will be appreciated by those skilled in the art that according to existing wired or wireless communication agreement, realize that the information interaction between each node is to realize easily.
Event model is used for determining that PaaS cloud platform has probabilistic dynamic event what running took place, comprises following content:
Event type (withdrawing from, use adding etc.) as node;
The probability distribution that incident takes place (according to the one day 24 hours different incident generating capacities of configuration).
The acquiring unit (not shown) is used for obtaining the load factor and the load variance of the analogue system running of described PaaS cloud platform; Wherein, described load factor is that during the whole service of PaaS cloud platform, load surpasses the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load surpasses the variance of proportion of number of nodes with total number of nodes of setting threshold.
Move above-mentioned PaaS cloud platform, obtain corresponding simulation result (as real-time cpu load data of each node etc.).The present invention is based on two evaluation indexes of these simulation results design, be respectively load factor and load variance, below these two grading indexs are elaborated:
Load factor (Lc) is specially: during the whole service of PaaS cloud platform, and the average of the ratio of high capacity number of nodes and total number of nodes, it has reflected the average load situation of PaaS cloud platform.Wherein, " high capacity " can select the different resource of node to define according to different demands, as CPU, internal memory, network traffics etc.Cpu resource with node is an example, and load factor can calculate in the following manner:
Suppose: node adds up to N; The data acquisition total degree is n, and in i data acquisition time interval, the quantity of the node of CPU usage＞70% is M
i, then
By following formula as can be seen, the span of load factor is 0～1.Load factor is big more, and the average load of PaaS cloud platform is high more.
Load variance (Lv) is specially: during the whole service of PaaS cloud platform, and the variance of proportion of high capacity number of nodes and total number of nodes, it has reflected the fluctuation of load situation of PaaS cloud platform.Wherein, " high capacity " can select the different resource of node to define according to different demands, as the situation that takies of CPU, internal memory, network traffics etc.Cpu resource with node is an example, and the load variance can be calculated in the following manner:
By following formula as can be seen, the load variance is big more, and the fluctuation of load of PaaS cloud platform is big more.
For making the purpose, technical solutions and advantages of the present invention clearer, by the following examples and with reference to accompanying drawing, the present invention is described in more detail.
Fig. 2 is the flow chart of emulation mode of the PaaS cloud platform of the embodiment of the invention, and as shown in Figure 2, the emulation mode of the PaaS cloud platform of this embodiment of the invention specifically may further comprise the steps:
Step 201: determine to want node computational resource (CPU, internal memory, hard disk), the communication resource (communication bandwidth, linking number) of the PaaS cloud platform of emulation, the instantiated nodes model empties the list of application of node deploy.
Determine to want emulation PaaS cloud platform number of nodes, node role and is connected topological, instantiation topological model, and in conjunction with the overall architecture of nodal analysis method structure PaaS cloud platform.
Definite communication link of the PaaS cloud platform of emulation of wanting postpones and bandwidth, instantiation link model, and in conjunction with the overall architecture loading link attribute that has made up.
Step 202: the application deployment situation according to the PaaS cloud platform of wanting emulation comprises: applied logic, the resource overhead of using processing, application processing delay, instantiation application model.
User capture situation according to each application comprises: the user asks to distribute (distributing as normal distribution, evenly distribution, Poisson distribution, ZipF), the user asks the arrival situation, the instantiation user model.
Need to prove that the overall architecture of above-mentioned structure PaaS cloud platform can realize by software mode.Promptly according to the node computational resource and the communication resource (link delay and the bandwidth etc.) demand of above-mentioned PaaS cloud platform, the quantity of node, role and topological relation construct the framework of satisfactory PaaS cloud platform.
Step 203: the operation logic according to the PaaS cloud platform of wanting emulation comprises: resource scheduling algorithm, task scheduling algorithm, instantiation controlling models.
Communication protocol according to the PaaS cloud platform of wanting emulation comprises: each Field Definition of agreement, protocol message bag size, protocol message interaction flow, instantiation protocol model.
Have probabilistic dynamic event according to what the PaaS cloud platform of wanting emulation might take place in running, comprising: the probability distribution that event type and incident take place, instantiation event model.
Above-mentioned steps has been finished the instantiation of simulation model, has determined to treat the basic framework and the operation workflow of the PaaS cloud platform of emulation.
Step 204: use emulation tool (as OMNeT++), finish simulation run according to above-mentioned simulation model, and recording simulation results data (as the real-time cpu load of node).
Step 205: based on above-mentioned simulation result, according to formula
With
Calculate load factor and load variance.
Step 106: finish Performance Evaluation to PaaS cloud platform according to load factor and load variance.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.
Claims (9)
1. a PaaS cloud platform emulation system is characterized in that this system comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method is used for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model is used for determining that the role of each node divides and the connection topology situation;
The link model is used for the communication link attribute between definite node;
Application model is used for determining applied logic, uses the computational resource expense in each stage of handling, and uses the communication resource expense in each stage of handling, and, use the time delay of handling;
User model is used for determining that the user asks to distribute, and the user asks the arrival situation;
Described dynamic model comprises:
Controlling models is used for determining the operation logic of PaaS cloud platform, determines to use the deployment relation with node, determines that service request arrives behind the PaaS cloud platform mode for this service request selection processing node;
Protocol model is used for determining the interactive frame of PaaS cloud platform;
Event model is used for determining that PaaS cloud platform has probabilistic dynamic event what running took place.
2. the analogue system of PaaS cloud platform according to claim 1 is characterized in that, described controlling models determines that the deployment of using with node concerns, for
Described controlling models determines that new business disposes to the rule of PaaS cloud platform; When traffic carrying capacity reduces, determine to reduce the rule of using copy amount; When traffic carrying capacity increases, determine to increase the rule of using copy amount; And, when node withdraws from, the processing rule of PaaS cloud platform.
3. the analogue system of PaaS cloud platform according to claim 1 is characterized in that, the interactive frame of described PaaS cloud platform specifically comprises each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
4. the analogue system of PaaS cloud platform according to claim 1 is characterized in that, describedly has a probability distribution that probabilistic dynamic event comprises that event type, incident take place.
5. according to the analogue system of each described PaaS cloud platform of claim 1 to 4, it is characterized in that described system also comprises:
Acquiring unit is used for obtaining the load factor and the load variance of the analogue system running of described PaaS cloud platform; Wherein, described load factor is that during the whole service of PaaS cloud platform, load surpasses the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load surpasses the variance of proportion of number of nodes with total number of nodes of setting threshold.
6. the emulation mode based on the analogue system of PaaS cloud platform is characterized in that, the analogue system of described PaaS cloud platform comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method is used for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model is used for determining that the role of each node divides and the connection topology situation;
The link model is used for the communication link attribute between definite node;
Application model is used for determining applied logic, uses the computational resource expense in each stage of handling, and uses the communication resource expense in each stage of handling, and, use the time delay of handling;
User model is used for determining that the user asks to distribute, and the user asks the arrival situation;
Described dynamic model comprises:
Controlling models is used for determining the operation logic of PaaS cloud platform, determines to use the deployment relation with node, determines that service request arrives behind the PaaS cloud platform mode for this service request selection processing node;
Protocol model is used for determining the interactive frame of PaaS cloud platform;
Event model is used for determining that PaaS cloud platform has probabilistic dynamic event what running took place;
Move the analogue system of described PaaS cloud platform, obtain load factor and load variance in the analogue system running of described PaaS cloud platform; Wherein, described load factor is that during the whole service of PaaS cloud platform, load surpasses the number of nodes of setting threshold and the average of the ratio of total number of nodes; Described load variance is that load surpasses the variance of proportion of number of nodes with total number of nodes of setting threshold.
7. method according to claim 6 is characterized in that, described controlling models determines that the deployment of using with node concerns, for
Determine that by described controlling models new business disposes to the rule of PaaS cloud platform; When traffic carrying capacity reduces, determine to reduce the rule of using copy amount; When traffic carrying capacity increases, determine to increase the rule of using copy amount; And, when node withdraws from, the processing rule of PaaS cloud platform.
8. method according to claim 6 is characterized in that, the interactive frame of described PaaS cloud platform specifically comprises each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
9. method according to claim 6 is characterized in that, describedly has a probability distribution that probabilistic dynamic event comprises that event type, incident take place.
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