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SLA Decomposition: Translating Service Level Objectives to System Level Thresholds
Chen, Yuan; Iyer, Subu; Liu, Xue; Milojicic, Dejan; Sahai, Akhil
Keyword(s): Service Level Agreements (SLA) Management; performance modeling; queueing network model; utility computing virtualization
Abstract: Service Level Agreements (SLAs) capture the agreed upon guarantees between a service provider and its customer. In today’s complex and highly dynamic computing environments, systems/services have to be constantly adjusted to meet SLAs and to improve resource utilization, thus reducing operating cost. Traditional design of such systems usually involves domain experts who implicitly translate SLAs to system-level thresholds in an ad-hoc manner. In this paper, we present an approach that combines performance modeling with performance profiling to create models that translate SLAs to lower-level resource requirements for each system involved in providing the service. Using these models, the process of creating an efficient design of a system/service can be automated, eliminating the involvement of domain experts. Through our experimental results, we demonstrate that our approach is practical and that it can be applied to different applications and software architectures. Our experiments show that for a typical 3-tier e-commerce application in a virtualized environment the SLAs can be met while improving CPU utilization up to 3 times.
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