CN109525907B - Optical channel bandwidth-on-demand allocation method for power service types - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
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- H02J13/0013—
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
- H04Q2011/0079—Operation or maintenance aspects
- H04Q2011/0083—Testing; Monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
- H04Q2011/0084—Quality of service aspects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
- H04Q2011/0086—Network resource allocation, dimensioning or optimisation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
Abstract
The invention relates to an optical channel bandwidth-on-demand allocation method aiming at a power service type scheduling strategy, which is based on a centralized control framework of an SDN (software defined network), and is characterized in that an elastic optical network optical channel bandwidth-on-demand allocation algorithm is designed, the algorithm mainly comprises three bandwidth allocation schemes of real-time bandwidth allocation, reserved bandwidth allocation and self-adaptive bandwidth allocation, the three bandwidth-on-demand allocation schemes are respectively suitable for different power service types, and the intelligent resource scheduling and high network resource utilization efficiency of a power communication network are realized through an elastic optical network optical channel bandwidth-on-demand allocation technology.
Description
Technical Field
The invention relates to the field of electric power, in particular to an optical channel bandwidth-on-demand allocation method aiming at an electric power service type scheduling strategy.
Background
Routing and wavelength allocation problems are an important resource allocation problem in WDM optical networks, which means that before data transmission, a transmission channel is established between a start-stop node pair and a wavelength for signal transmission is allocated for the data transmission. The method is a complete problem, and reasonable solution of the problem represents reasonable allocation of resources, so that the network service quality is improved as much as possible, and the possibility of service blocking is reduced.
When an optical path connection is established in a WDM network without a wavelength conversion function, it is necessary to uniformly distribute wavelengths on all optical fiber links through which the optical path passes, that is, wavelength consistency constraints are satisfied. Also, two services with a common link must use different wavelengths to prevent collisions. The RWA problem of a small-scale network can be solved by using an integer linear programming model ILP, but as the network structure increases, an ILP algorithm is too complex and cannot be solved, so that the method is not suitable for large and medium-sized networks.
Disclosure of Invention
In order to solve the defect that an ILP algorithm is suitable for medium and large networks in the prior art, the invention provides an optical channel bandwidth-on-demand allocation method aiming at a power service type scheduling strategy.
In order to realize the purpose, the technical scheme is as follows:
an optical channel bandwidth-on-demand allocation method aiming at a power service type scheduling strategy comprises the following steps:
step S1: constructing an SDN centralized control architecture;
step S2: the method comprises the steps that an SDN centralized control framework collects state information of a power network;
step S3: and the SDN centralized control architecture adopts different bandwidth allocation schemes for the power networks under different service types according to the state information to construct an intelligent elastic power network.
Preferably, the bandwidth allocation scheme in step S3 includes a real-time bandwidth allocation scheme, a reserved bandwidth allocation scheme, and an adaptive bandwidth allocation scheme.
Preferably, the real-time bandwidth allocation scheme described in step S2 has the following specific principles:
the method comprises the steps that a user sets corresponding bandwidth allocation parameters according to the bandwidth requirement of a service, generates a bandwidth real-time allocation request, transmits information to an SDN, the SDN executes a real-time bandwidth allocation algorithm, and then sends signaling messages to corresponding network nodes in the elastic optical network to complete a bandwidth allocation flow according to the requirement.
Preferably, the specific principle of the reserved bandwidth allocation scheme in step S2 is as follows:
defining various parameters in the reserved bandwidth allocation scheme, including the total duration of the reserved bandwidth allocation and the starting and ending time of each reserved allocation, and realizing automatic adjustment of the power network by the SDN centralized control architecture through the set parameters.
Preferably, the specific principle of the adaptive framed allocation scheme described in step S2 is as follows:
step S301: setting service self-adaptive adjustment parameters;
step S302: starting service self-adaptive adjustment;
step S303: monitoring and sampling service flow performance;
step S304: calculating the actual traffic of the service according to a formula;
step S305: judging whether the sampling duration meets the requirement, if not, returning to the step S303, and if so, performing the step S306;
step S306: counting the number n1 of sampling points of the bandwidth-increasing threshold of the actual traffic exceeding the current traffic bandwidth;
step S307: judging whether n1 is greater than a sampling judgment threshold n, if so, performing steps S308-S309, and if not, performing steps S310-312;
step S308: calculating the step number N1 of the increasing step according to the increasing bandwidth threshold;
step S309: multiplying N1 by the increasing step size to add the current bandwidth, and comparing the calculation result with the maximum service bandwidth; if the bandwidth is larger than the maximum service bandwidth, the adjusted bandwidth is equal to the maximum service bandwidth, and if the bandwidth is smaller than the maximum service bandwidth, the adjusted bandwidth is equal to N1 multiplied by the increase step length and added with the current bandwidth;
step S310: counting the number n2 of sampling points of which the actual traffic is smaller than the bandwidth threshold of the current service bandwidth;
step S311: judging whether n2 is greater than the sampling decision threshold n, if so, executing step S312, and if not, ending the process;
step S312: and subtracting the product of the adjustment and reduction step length and N2 from the current bandwidth, and judging whether the result is smaller than the minimum bandwidth service, if so, the adjusted bandwidth is equal to the minimum service bandwidth, and if so, the adjusted bandwidth is equal to the product of the current bandwidth minus N2 and the adjustment and reduction step length.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an elastic bandwidth allocation mechanism aiming at the current situation of the power transmission network and the development requirements of the service, adopts a self-adaptive bandwidth allocation algorithm, and completes the bandwidth allocation of the service according to the requirements in a self-adaptive mode through the state information and the bandwidth requirement trend of the current service, thereby improving the utilization efficiency of network resources.
Drawings
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a flow chart of an adaptive boxed allocation scheme.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
the invention is further illustrated below with reference to the figures and examples.
Example 1
An optical channel bandwidth-on-demand allocation method aiming at a power service type scheduling strategy comprises the following steps:
step S1: constructing an SDN centralized control architecture;
step S2: the method comprises the steps that an SDN centralized control framework collects state information of a power network;
step S3: and the SDN centralized control architecture adopts different bandwidth allocation schemes for the power networks under different service types according to the state information to construct an intelligent elastic power network.
Preferably, the bandwidth allocation scheme in step S3 includes a real-time bandwidth allocation scheme, a reserved bandwidth allocation scheme, and an adaptive bandwidth allocation scheme.
Preferably, the real-time bandwidth allocation scheme described in step S2 has the following specific principles:
the method comprises the steps that a user sets corresponding bandwidth allocation parameters according to the bandwidth requirement of a service, generates a bandwidth real-time allocation request, transmits information to an SDN, the SDN executes a real-time bandwidth allocation algorithm, and then sends signaling messages to corresponding network nodes in the elastic optical network to complete a bandwidth allocation flow according to the requirement.
Preferably, the specific principle of the reserved bandwidth allocation scheme in step S2 is as follows:
defining various parameters in the reserved bandwidth allocation scheme, including the total duration of the reserved bandwidth allocation and the starting and ending time of each reserved allocation, and realizing automatic adjustment of the power network by the SDN centralized control architecture through the set parameters.
Preferably, the specific principle of the adaptive framed allocation scheme described in step S2 is as follows:
step S301: setting service self-adaptive adjustment parameters;
step S302: starting service self-adaptive adjustment;
step S303: monitoring and sampling service flow performance;
step S304: calculating the actual traffic of the service according to a formula;
step S305: judging whether the sampling duration meets the requirement, if not, returning to the step S303, and if so, performing the step S306;
step S306: counting the number n1 of sampling points of the bandwidth-increasing threshold of the actual traffic exceeding the current traffic bandwidth;
step S307: judging whether n1 is greater than a sampling judgment threshold n, if so, performing steps S308-S309, and if not, performing steps S310-312;
step S308: calculating the step number N1 of the increasing step according to the increasing bandwidth threshold;
step S309: multiplying N1 by the increasing step size to add the current bandwidth, and comparing the calculation result with the maximum service bandwidth; if the adjusted bandwidth is larger than the maximum service bandwidth, the adjusted bandwidth is equal to the maximum service bandwidth, and if the adjusted bandwidth is smaller than the maximum service bandwidth, the adjusted bandwidth is equal to N1 multiplied by the increase step length and added with the current bandwidth.
Step S310: counting the number n2 of sampling points of which the actual traffic is smaller than the bandwidth threshold of the current service bandwidth;
step S311: judging whether n2 is greater than the sampling decision threshold n, if so, executing step S312, and if not, ending the process;
step S312: and subtracting the product of the adjustment and reduction step length and N2 from the current bandwidth, and judging whether the result is smaller than the minimum bandwidth service, if so, the adjusted bandwidth is equal to the minimum service bandwidth, and if so, the adjusted bandwidth is equal to the product of the current bandwidth minus N2 and the adjustment and reduction step length.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (3)
1. An optical channel bandwidth-on-demand allocation method for a power service type scheduling policy, comprising the steps of:
step S1: constructing an SDN centralized control architecture;
step S2: the method comprises the steps that an SDN centralized control framework collects state information of a power network;
step S3: the SDN centralized control architecture adopts different bandwidth allocation schemes for power networks under different service types according to the state information to construct an intelligent elastic power network;
the bandwidth allocation scheme of step S3 includes a real-time bandwidth allocation scheme, a reserved bandwidth allocation scheme, and a self-adaptive bandwidth allocation scheme;
the specific principle of the adaptive bandwidth allocation scheme described in step S2 is as follows:
setting adaptive parameters including sampling duration, a sampling judgment threshold, an adjustment period, a bandwidth adjustment step length, an increase bandwidth threshold and a decrease bandwidth threshold, sampling current service performance data in real time by an SDN centralized control framework, analyzing a bandwidth demand change trend of a service, and then completing bandwidth on-demand adjustment according to a specific adaptive bandwidth allocation algorithm;
step S2 is specifically as follows:
step S301: setting service self-adaptive adjustment parameters;
step S302: starting service self-adaptive adjustment;
step S303: monitoring and sampling service flow performance;
step S304: calculating the actual traffic of the service according to a formula;
step S305: judging whether the sampling duration meets the requirement, if not, returning to the step S303, and if so, performing the step S306;
step S306: counting the number n1 of sampling points of the bandwidth increase threshold of the actual traffic exceeding the current traffic bandwidth;
step S307: judging whether n1 is greater than a sampling judgment threshold n, if so, performing steps S308-S309, and if not, performing steps S310-312;
step S308: calculating the number N1 of the increasing step length according to the increasing bandwidth threshold;
step S309: multiplying N1 by the increasing step length and adding the current bandwidth, and comparing the calculation result with the maximum service bandwidth; if the adjusted bandwidth is larger than the maximum service bandwidth, the adjusted bandwidth is equal to the maximum service bandwidth, and if the adjusted bandwidth is smaller than the maximum service bandwidth, the adjusted bandwidth is equal to N1 multiplied by the incremental step plus the current bandwidth.
Step S310: counting the number n2 of sampling points of which the actual traffic is smaller than the bandwidth threshold of the current service bandwidth;
step S311: judging whether n2 is greater than the sampling decision threshold n, if so, executing step S312, and if not, ending the process;
step S312: and subtracting the product of the adjustment and reduction step length and N2 from the current bandwidth, and judging whether the result is smaller than the minimum bandwidth service, if so, the adjusted bandwidth is equal to the minimum service bandwidth, and if so, the adjusted bandwidth is equal to the product of the current bandwidth minus N2 and the adjustment and reduction step length, wherein N2 represents the number of the adjustment and reduction step lengths.
2. The method for allocating bandwidth on demand to optical channels according to an electric power service type scheduling policy according to claim 1, wherein the real-time bandwidth allocation scheme in step S2 is based on the following specific principle:
the method comprises the steps that a user sets corresponding bandwidth allocation parameters according to the bandwidth requirement of a service, generates a bandwidth real-time allocation request, transmits information to an SDN, the SDN executes a real-time bandwidth allocation algorithm, and then sends signaling messages to corresponding network nodes in the elastic optical network to complete a bandwidth allocation flow according to the requirement.
3. The method for allocating bandwidth on demand to optical channels according to an electric power service type scheduling policy according to claim 2, wherein the specific principle of the reserved bandwidth allocation scheme in step S2 is as follows:
defining various parameters in the reserved bandwidth allocation scheme, including the total duration of the reserved bandwidth allocation and the starting and ending time of each reserved allocation, and realizing automatic adjustment of the power network by the SDN centralized control architecture through the set parameters.
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| US9450884B2 (en) * | 2014-06-11 | 2016-09-20 | Alcatel-Lucent | Software defined networking based congestion control |
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