A comparitive performance analysis of GENI control framework aggregates

dc.contributor.authorTare, Nidhi
dc.date.accessioned2010-04-23T14:53:30Z
dc.date.available2010-04-23T14:53:30Z
dc.date.graduationmonthMayen_US
dc.date.issued2010-04-23T14:53:30Z
dc.date.published2010en_US
dc.description.abstractNetwork researchers for a long time have been investigating ways to improve network performance and reliability by devising new protocols, services, and network architectures. For the most part, these innovative ideas are tested through simulations and emulation techniques that though yield credible results; fail to account for realistic Internet measurements values like traffic, capacity, noise, and variable workload, and network failures. Overlay networks, on the other hand have existed for a decade, but they assume the current internet architecture is not suitable for clean-slate network architecture research. Recently, the Global Environment for Network Innovations (GENI) project aims to address this issue by providing an open platform comprising of a suite of highly programmable and shareable network facilities along with its control software. The aim of this report is to introduce GENI’s key architectural concepts, its control frameworks, and how they are used for dynamic resource allocation of computing and networking resources. We mainly discuss about the architectural concepts and design goals of two aggregates, namely the BBN Open Resource Control Architecture of the (BBNORCA) of the ORCA control framework and Great Plains Environment for Network Innovations (GpENI) belonging to the PlanetLab control framework. We then describe the procedure adopted for hardware and software setup of individual aggregates. After giving an overview of the two prototypes, an analysis of the simple experiments that were conducted on each of the aggregates is presented. Based on the study and experimental results, we present a comparative analysis of control framework architectures, their relative merits and demerits, experimentation ease, virtualization technology, and its suitability for a future GENI prototype. We use metrics such as scalability, leasing overhead, oversubscription of resources, and experiment isolation for comparison.en_US
dc.description.advisorCaterina M. Scoglioen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Electrical and Computer Engineeringen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/3716
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectGENIen_US
dc.subjectGpENIen_US
dc.subjectplanetlaben_US
dc.subjectORCAen_US
dc.subject.umiComputer Science (0984)en_US
dc.titleA comparitive performance analysis of GENI control framework aggregatesen_US
dc.typeReporten_US

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