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基于可重構(gòu)測量模型的網(wǎng)絡(luò)測量任務(wù)部署算法

王晶,  汪斌強(qiáng),  張校輝

王晶, 汪斌強(qiáng), 張校輝. 基于可重構(gòu)測量模型的網(wǎng)絡(luò)測量任務(wù)部署算法[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1598-1605. doi: 10.11999/JEIT141336
引用本文: 王晶, 汪斌強(qiáng), 張校輝. 基于可重構(gòu)測量模型的網(wǎng)絡(luò)測量任務(wù)部署算法[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1598-1605. doi: 10.11999/JEIT141336
Wang Jing, Wang Bin-qiang, Zhang Xiao-hui. Network Measurement Task Deploying Algorithm Based on Reconfiguration Model[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1598-1605. doi: 10.11999/JEIT141336
Citation: Wang Jing, Wang Bin-qiang, Zhang Xiao-hui. Network Measurement Task Deploying Algorithm Based on Reconfiguration Model[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1598-1605. doi: 10.11999/JEIT141336

基于可重構(gòu)測量模型的網(wǎng)絡(luò)測量任務(wù)部署算法

doi: 10.11999/JEIT141336
基金項(xiàng)目: 

國家973計(jì)劃基金(2012CB315901, 2013CB329104)，國家自然科學(xué)基金(61309019, 61372121)和國家863計(jì)劃基金(2013AA013505, 2015AA011901)

Network Measurement Task Deploying Algorithm Based on Reconfiguration Model

  • 摘要: 針對網(wǎng)絡(luò)有限測量資源與多樣化測量需求之間矛盾日趨凸顯的問題，該文在可重構(gòu)的網(wǎng)絡(luò)測量模型基礎(chǔ)上，對網(wǎng)絡(luò)測量任務(wù)部署問題進(jìn)行建模，并提出一種測量任務(wù)部署算法。該算法利用測量構(gòu)件復(fù)用及組合原理，高效利用網(wǎng)絡(luò)測量資源，從而支持對多樣化并發(fā)測量任務(wù)的部署。仿真實(shí)驗(yàn)數(shù)據(jù)顯示，算法在任務(wù)部署成功率和任務(wù)部署時(shí)間性能指標(biāo)上較GCTS (Task-execution Scheduling schemes based on Graph Coloring)算法均得到顯著提高，任務(wù)部署成功率不低于90%。
    Abstract: Since the conflict between the limitation of measurement resources and the diversity of measurement requirements becomes more and more serious, this paper models the issue of measurement task deployment and proposes a new deployment algorithm based on the network measurement reconfiguration model. By using the theory of multiple using and composing of measurement components, the proposed algorithm can not only allocate the measurement resources effectively, but also support the concurrent various measurement tasks. The simulation result shows that the performance of the proposed algorithm on success ratio and average waiting time is more excellent than the Task-execution Scheduling schemes based on Graph Coloring (GCTS). The success ration of the proposed algorithm is more than 90%.
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出版歷程
  • 收稿日期:  2014-10-20
  • 修回日期:  2015-01-14
  • 刊出日期:  2015-07-19

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