Dynamic Resource Allocation Mechanism Using SLA in Cloud Computing

被引:1
作者
Agarkhed, Jayashree [1 ]
Ashalatha, R. [1 ]
机构
[1] Poojya Doddappa Appa Coll Engn, Kalaburagi 585102, Karnataka, India
来源
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2016 | 2017年 / 517卷
关键词
Cloud computing; Resource provisioning; Resource allocation; Service-level agreement; Quality of service; MANAGEMENT; FRAMEWORK;
D O I
10.1007/978-981-10-3174-8_61
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Resource provisioning is greatly required to expand the performance in cloud. The hardware technique used for resource allocation methods can be central processing unit (CPU) scaling, which is the frequency of physical cores. The software technique used can be horizontal and vertical elasticity. The resource management affects the evaluation of a system by performance, functionality, and cost. The resource management in cloud environment should have enormous policies and decisions for adhering various objective optimization. Efficient resource management is the process of allocating the resources and handling the workload variations effectively. The computing resources have to be handled efficiently among the users of virtual machines. Service level agreement (SLA) is defined as the contract made between the providers and the customers of cloud for guaranteeing the quality of service (QoS) issues. This paper gives various policies defined in cloud computing related to SLA issues.
引用
收藏
页码:731 / 740
页数:10
相关论文
共 20 条
  • [1] [Anonymous], 2015, P INT C COMP COMM IN
  • [2] Boloor Keerthana, 2011, 2011 Proceedings of IEEE International Conference on Services Computing (SCC 2011), P88, DOI 10.1109/SCC.2011.71
  • [3] Buyya R., 2011, Proceedings of the 2011 International Conference on Cloud and Service Computing (CSC 2011), P1, DOI 10.1109/CSC.2011.6138522
  • [4] Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
    Buyya, Rajkumar
    Yeo, Chee Shin
    Venugopal, Srikumar
    [J]. HPCC 2008: 10TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, PROCEEDINGS, 2008, : 5 - 13
  • [5] Cardellini V., 2011, Proceedings of the 2011 IEEE International Conference on Network/Cloud Computing and Applications (NCCA 2011), P20, DOI 10.1109/NCCA.2011.11
  • [6] Chhetri M. B., 2012, Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), P164, DOI 10.1109/CCGrid.2012.116
  • [7] Fox Armando., 2009, CLOUDS BERKELEY VIEW, P2009
  • [8] A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing
    Guzek, Mateusz
    Bouvry, Pascal
    Talbi, El-Ghazali
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2015, 10 (02) : 53 - 67
  • [9] Kim J. S., RESOURCE ALLOCATION
  • [10] An Adaptive Resource Allocation Algorithm for Partitioned Services in Mobile Cloud Computing
    Liu, Yanchen
    Lee, Myung J.
    [J]. 9TH IEEE INTERNATIONAL SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE 2015), 2015, : 209 - 215