Paper Info
Title
Translating Service Level Objectives to lower level policies for multi-tier services
Abstract
Service providers and their customers agree on certain quality of service guarantees through Service Level Agreements (SLA). An SLA contains one or more Service Level Objectives (SLO)s that describe the agreed-upon quality requirements at the service level. Translating these SLOs into lower-level policies that can then be used for design and monitoring purposes is a difficult problem. Usually domain experts are involved in this translation that often necessitates application of domain knowledge to this problem. In this article, we propose an approach that combines performance modeling with regression analysis to solve this problem. We demonstrate that our approach is practical and that it can be applied to different n-tier services. Our experiments show that for a typical 3-tier e-commerce application in a virtualized environment, the SLA can be met while improving CPU utilization by up to 3 times.
Year
DOI
Venue
2008
10.1007/s10586-008-0059-6
Cluster Computing
Keywords
Field
DocType
lower level policy,3-tier e-commerce application,service level agreements,service guarantee,service provider,sla management · performance modeling · multi-tier application · queueing model,translating service level objectives,certain quality,multi-tier service,difficult problem,agreed-upon quality requirement,service level,service level objectives,different n-tier service,regression analysis,multi tier application,domain knowledge,e commerce,quality of service
Service design,Service level objective,Service level,Computer science,Quality of service,Knowledge management,Service provider,Differentiated service,Service level requirement,Service delivery framework,Process management,Distributed computing
Journal
Volume
Issue
ISSN
11
3
1386-7857
Citations 
PageRank 
References 
21
1.29
13
Authors
5
Name
Order
Citations
PageRank
Yuan Chen1876.16
Subu Iyer217115.65
Xue Liu321611.49
Dejan Milojicic483470.42
Akhil Sahai556758.03