Title
A systematic and practical approach to generating policies from service level objectives
Abstract
In order to manage a service to meet the agreed upon SLA, it is important to design a service of the required capacity and to monitor the service thereafter for violations at runtime. This objective can be achieved by translating SLOs specified in the SLA into lower-level policies that can then be used for design and enforcement purposes. Such design and operational policies are often constraints on thresholds of lower level metrics. In this paper, we propose a systematic and practical approach that combines fine-grained performance modeling with regression analysis to translate service level objectives into design and operational policies for multi-tier applications. We demonstrate that our approach can handle both request-based and session-based workloads and deal with workload changes in terms of both request volume and transaction mix. We validate our approach using both the RUBiS e-commerce benchmark and a trace-driven simulation of a business-critical enterprise application. These results show the effectiveness of our approach.
Year
DOI
Venue
2009
10.1109/INM.2009.5188791
Integrated Network Management
Keywords
Field
DocType
lower-level policy,practical approach,business-critical enterprise application,service level objective,multi-tier application,lower level metrics,operational policy,fine-grained performance modeling,rubis e-commerce benchmark,enforcement purpose,servers,constraint optimization,mathematical model,service level objectives,degradation,e commerce,resource management,production,service level,parameter estimation,regression analysis
Resource management,Service level objective,Workload,Computer science,Server,Operations research,Capacity planning,Enforcement,Database transaction,Operating system,Distributed computing,Constrained optimization
Conference
Citations 
PageRank 
References 
4
0.63
9
Authors
4
Name
Order
Citations
PageRank
Yuan Chen1876.16
Subu Iyer217115.65
Dejan Milojicic383470.42
Akhil Sahai456758.03