Paper Info
Title
Evaluation of SLA-based decision strategies for VM scheduling in cloud data centers.
Abstract
Service level agreements (SLAs) gain more and more importance in the area of cloud computing. An SLA is a contract between a customer and a cloud service provider (CSP) in which the CSP guarantees functional and non-functional quality of service parameters for cloud services. Since CSPs have to pay for the hardware used as well as penalties for violating SLAs, they are eager to fulfill these agreements while at the same time optimizing the utilization of their resources. In this paper we examine SLA-aware VM scheduling strategies for cloud data centers. The service level objectives considered are resource usage and availability. The sample resources are CPU and RAM. They can be overprovisioned by the CSPs which is the main leverage to increase their revenue. The availability of a VM is affected by migrating it within and between data centers. To get realistic results, we simulate the effect of the strategies using the FederatedCloudSim framework and real-world workload traces of business-critical VMs. Our evaluation shows that there are considerable differences between the scheduling strategies in terms of SLA violations and the number of migrations. From all strategies considered, the combination of the Minimization of Migrations strategy for VM selection and the Worst Fit strategy for host selection achieves the best results.
Year
DOI
Venue
2016
10.1145/2904111.2904113
CrossCloud@EuroSys
Keywords
Field
DocType
cloud computing, simulation, scheduling, service level agreement
Revenue,Service level objective,Service level,Scheduling (computing),Computer science,Workload,Service-level agreement,Quality of service,Real-time computing,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.43
16
Authors
4
Name
Order
Citations
PageRank
Andreas Kohne1192.07
Damian Pasternak240.43
Lars Nagel37613.58
Olaf Spinczyk464665.15