eCite Digital Repository

SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter

Citation

Garg, SK and Toosi, AN and Gopalaiyengar, SK and Buyya, R, SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter, Journal of Network and Computer Applications, 45 pp. 108-120. ISSN 1084-8045 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Elsevier Ltd.

DOI: doi:10.1016/j.jnca.2014.07.030

Abstract

Efficient provisioning of resources is a challenging problem in cloud computing environments due to its dynamic nature and the need for supporting heterogeneous applications. Even though VM (Virtual Machine) technology allows several workloads to run concurrently and to use a shared infrastructure, still it does not guarantee application performance. Thus, currently cloud datacenter providers either do not offer any performance guarantee or prefer static VM allocation over dynamic, which leads to inefficient utilization of resources. Moreover, the workload may have different QoS (Quality Of Service) requirements due to the execution of different types of applications such as HPC and web, which makes resource provisioning much harder. Earlier work either concentrate on single type of SLAs (Service Level Agreements) or resource usage patterns of applications, such as web applications, leading to inefficient utilization of datacenter resources. In this paper, we tackle the resource allocation problem within a datacenter that runs different types of application workloads, particularly non-interactive and transactional applications. We propose an admission control and scheduling mechanism which not only maximizes the resource utilization and profit, but also ensures that the QoS requirements of users are met as specified in SLAs. In our experimental study, we found that it is important to be aware of different types of SLAs along with applicable penalties and the mix of workloads for better resource provisioning and utilization of datacenters. The proposed mechanism provides substantial improvement over static server consolidation and reduces SLA violations.

Item Details

Item Type:Refereed Article
Keywords:cloud computing, service level agreement, virtual machine migration, resource management
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Time Leasing, Sharing and Renting Services
Author:Garg, SK (Dr Saurabh Garg)
ID Code:93799
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2014-08-18
Last Modified:2015-04-30
Downloads:0

Repository Staff Only: item control page