Date of Award

2015

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Computer Science

Department

Computer Science

College

Engineering

Faculty Advisor

Ludwig, Simone

Description

In cloud-computing environments, every service in an application is deployed as a different service instance. All service instances are deployed at a different level of end-to-end Quality of Service (QoS), which are described in the Service Level Agreement (SLA). To satisfy the given SLAs and end-to-end QoS requirements of an application, the application is required to optimize its deployment configuration of service instances. In this paper, a genetic algorithm is implemented, as proposed in literature, to solve this problem by searching for the optimal solution from a search space while satisfying the given SLA. The algorithm estimates the performance of an application by minimizing the latency allowing SLAs to be defined in a probabilistic manner. Simulation results demonstrate that the genetic algorithm implemented in this paper obtains the deployment configurations that satisfy the given SLA.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/25484

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