Computer Science ›› 2014, Vol. 41 ›› Issue (3): 189-192.

Previous Articles     Next Articles

Autonomic Computing Model Based on Hierarchical Management in Cloud Environment

LIU Wen-jie and LI Zhan-huai   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Autonomic Computing is an effective method to make complex IT system to realize self-recovery and self-management.But in cloud environment,with the rapid growth of the computing resources,traditional resources algorithms and models can not allocate the resources effectively,therefore the resources usage rate is very low.To enhance the resource management efficiency,this paper proposed an autonomic computing model for cloud environment,which divides the autonomic manager into master and slave,uses hierarchical management to solve the bottleneck problem when dealing with massive requests,and uses the mixed policies method for different fault recovery requests.This model can lower the resources management cost in cloud environment and meet the SLA that cloud services need.

Key words: Cloud environment,Autonomic computing,Hierarchical management,Fault recovery

[1] Kephart J,Chess D.The Vision of Autonomic Computing [J].IEEE Computer Society,2003,36(1):41-50
[2] Shi C Y,Zhang W.Agent-Based Computing [M].Beijing:Tsinghua University Press,2007:275-320
[3] Bogdan S,Dan I,Marin L,et al.Towards a real-time reference architecture for autonomic systems[C]∥Proceedings-ICSE 2007Workshops:International Workshop on Software Engineering for Adaptive and Self-Managing Systems.2007:1-10
[4] Yu Cheng,Alberto L-G,Source F I.Toward An AutonomicService Management Framework:A Holistic Vision of SOA,AON,and Autonomic Computing [J].IEEE Communications Magazine,2008,46(5):138-146
[5] Wang Xiao-ying,Lan Dong-jun,Fang Xing,et al.A resourcemanagement framework for multi-tier service delivery in autonomic virtualized environments [C]∥Network Operations and Management Symposium,2008,NOMS 2008.IEEE,2008:310-316
[6] Michael M,Ivan B,Vincent C E,et al.Revealing the MAPE loop for the autonomic management of cloud infrastructures [C]∥Proceedings-IEEE Symposium on Computers and Communications, ISCC’11.2011:147-152
[7] Huebscher,Markus C.A survey of Autonomic Computing-De-grees,models,and applications [J].ACM Computing Surveys,2008,40(3):7-28
[8] Xu Cheng-zhong.URL:A unified reinforcement learning ap-proach for autonomic cloud management [J].Journal of Parallel and Distributed Computing,2012,72(2):95-105
[9] Emeakaroha,Vincent C.Towards autonomic detection of SLA violations in Cloud infrastructures [J].Future Generation Computer Systems,2012,28(7):1017-1029
[10] Champrasert,Paskorn.Exploring self-optimization and self-stabilization properties in bio-inspired autonomic cloud applications [J].Concurrency Computation Practice and Experience,2012,24(9):1015-1034
[11] You G-W,Hwang S-W,Jain N.Ursa:Scalable load and power management in cloud storage systems [J].ACM Transactions on Storage,2013,9(1):1-29

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!