| dc.contributor.author | Dumpala, Chaitanya | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Optimization of Deployments for Service Oriented Clouds | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2015-12-10T20:39:57Z | |
| dc.date.available | 2015-12-10T20:39:57Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | http://hdl.handle.net/10365/25484 | |
| dc.subject.lcsh | Cloud computing. | en_US |
| dc.subject.lcsh | Quality of service (Computer networks) | en_US |
| dc.subject.lcsh | Application software. | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Computer Science | en_US |
| ndsu.advisor | Ludwig, Simone | |
