| dc.description.abstract | The 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 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. | en_US |
