000			02902nam a22002057a 4500
003			KE-MeUCS
005			20230606101708.0
008			230522b xxu||||| |||| 00| 0 eng d
020			_a
040			_cKE-MeUCS _dKE-MeUCS
050			_aQA76.25 .K5 2023
100			_aKithinji, Joseph
245			_aIntegrated QOS management technique for internet protocol storage area networks _cJoseph Kithinji
260			_aMeru; _bJoseph Kithinji, _c2023.
300			_axvii,269p.
500			_aA Thesis submitted in partial fulfillment for the award of the degree of doctor of philosophy in computer science in the Meru University of Science and Technology
501			_aIncludes references and appendices
520			_aThe increasing number of Information technology Users around the world has led to a tremendous increase in the amount of data that requires storage. In response to this challenge, new storage area network architectures based on Ethernet (IP) have evolved. With the coexistence of storage traffic with other types of traffic in the same IP network, it is important to offer storage traffic QOS guarantees to prevent performance degradation for storage users. Regrettably, the storage device itself does not provide any capability of guaranteeing storage QOS. QOS is a vital issue in the environment of mixed works like IP SANS. The main aim of the study was to analyze the QOS techniques used in IP networks, and design, develop and validate an Integrated QOS management technique for IP SANs. The study first analyzed the various techniques for achieving QOS in IP Networks. By decomposing the QOS problem into an integration of four techniques of performance isolation, bandwidth management, and burst handling the study designed and developed IQMIS, an integrated quality of-service management technique for IP SANS. The study adopted an experimental research design. Simulations were used as the source of data whereas the Park Dale tool was used for simulating reads and writes to the targets. The study generated quantitative results which were analyzed using descriptive statistics and results presented in tables and charts. Empirical results show that IQMIS enables users to fairly share the aggregate system throughput even in an environment of contention of resources with a small implementation cost of 6%. In the implementation of bandwidth management and burst handling, IQMIS was found to be work-conserving and quickly adopts to network changes with a convergence time of 10 seconds. Further, the results show that IQMIS can provide strong performance isolation, superior latency, throughput, and jitter compared to best effort. Ultimately IQMIS can be used to provide end-to-end QOS management in IPSANS and at the same time provide building blocks for providing QOS in IPSANS.to tremendous increase in the amount of data that requires storage.
942			_2lcc _cTH _tJM
999			_c88378 _d88377