Computer Science ›› 2013, Vol. 40 ›› Issue (9): 84-88.

Previous Articles     Next Articles

Resource Deployment Model Design in Cloud Computing under Bursty Workloads

CHEN Peng,MA Zi-tang,SUN Lei and SUN Dong-dong   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Aiming at the degrading system performance that bursty workloads bring in cloud computing,BWA(Bursty Workloads Allocation)model was proposed to resolve resource deployment problems.Firstly,BWA’s workload monitor model is responsible of monitoring the variation of tasks in cloud computing,judging the on-off in real time about bursty workloads.Next,BWA tries to avoid the appearance of partial hot dots by using new deployment strategy to speed up the system response.At last,the forecasting algorithm is used to improve response speed by deploying the computing nodes in advance.The results of simulation in CloudSim prove that using BWA model can obtain better system perfor-mance.

Key words: Cloud computing,Resource allocation,Bursty workloads,Monitor workloads,Forecast workloads

[1] 谭一鸣,曾国荪,王伟.随机任务在云计算平台能耗的优化管理方法[J].软件学报,2012,23(2):266-278
[2] Cui V,Zhou T,Chen J,et al.中国云计算发展之道 [R].北京:IDC中国,2010
[3] 杨星,马自堂,孙磊.云环境下基于改进蚁群算法的虚拟机批量部署研究[J].计算机科学,2012,39(9):33-37
[4] Tai Jiang-zhe,Meleis W,Zhang Jue-min,et al.ARA:Adaptive Resource Allocation for Cloud Computing Environments under Bursty Workloads[R].978-1-4673.Northeastern University,Boston,USA,2011
[5] 罗军舟,金嘉晖,宋爱波,等.云计算:体系架构与关键技术[J].通信学报,2009,32(7):1337-1348
[6] 杨际祥,谭国真,王荣生.并行与分布式计算动态负载均衡策略综述[J].电子学报,2010,38(5):1122-1130
[7] Gusella R.Characterizing the Variability of Arrival Processeswith Indices of Dispersion[R].TR-90-051.International Computer Science Institute,USA,1990
[8] Fang Mi-ning,Giuliano C,Cherkasova L,et al.Burstiness inMulti-Tier Applications:Symptoms,Causes,and New Models,CNS-0720699[R].CCF-0811417.College of William and Mary,Williamsburg,USA,2008
[9] Lassnig M,Fahringer T.Identification,modeling and prediction of non-periodic bursts in workloads[C]∥201010th IEEE/ACM International Conference on Cluster,Cloud and Grid Computing.Austria,IEEE DOI /CCGRID,2010:485-494
[10] Goodwin P.The Holt-Winters Approach to Exponential Smoo-thing:50years Old and Going Strong[J].FORESIGHT,2010,Fall:30-33
[11] Prajakta S K.Time series Forecasting using Holt-Winters Exponential Smoothing[D].Kanwal Rekhi School of Information Technology,2004
[12] Rodrigo N C,Ranjan R,Beloglazov A,et al.CloudSim:A Toolkit for Modeling and Simulation of Cloud Computing Environmentsand Evaluation of Resource Provisioning Algorithms[R].Cloud Computing and Distributed Systems(CLOUDS)Laboratory,Australia,2010

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!