Storage area network (SAN) infrastructure design and performance analysis, 2003

Item — Call Number: MU Thesis Ran

Identifier: b2088314

Staff Only

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth University graduate Computer Science program. The holdings are primarily bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2003

Creator

Rana, Inderjeet (Author, Person)
Obaidat, Mohammad S. (Mohammad Salameh), 1952- (Thesis advisor, Person)

Conditions Governing Access

The collection is open for research use. Access is by appointment only.

Access to the collection is confined to the Monmouth University Library and is subject to patron policies approved by the Monmouth University Library.

Collection holdings may not be borrowed through interlibrary loan.

Research appointments are scheduled by the Monmouth University Library Archives Collections Manager (723-923-4526). A minimum of three days advance notice is required to arrange a research appointment for access to the collection.

Patrons must complete a Researcher Registration Form and provide appropriate identification to gain access to the collection holdings. Copies of these documents will be kept on file at the Monmouth University Library.

Extent

1 Items (print book) : 239 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

This thesis proposes new methodologies for the design and performance evaluation of Storage Area Networks (SANs) infrastructures. Designing a storage area network (SAN) fabric requires devising a set of fiber channel switches and links to connect hosts to their storage devices. The network must be capable of simultaneously meeting specified data flow requirements between multiple host-device pairs. We have presented a detailed analytical view of the key architectural switch characteristics for building SANs by identifying their strongest and weakest aspects. The experiments conducted in this work have been carried out under different environments. We have provided in detail, case studies of large corporations' IT infrastructures to provide real world storage experiences, trends, and expectations.

The objective is to build an automated software tool, called SANSIM, which can optimize the design of SAN systems based on user input parameters. We also conducted a detailed experimental and simulation study to investigate the performance of various SAN system configuations.

Partial Contents

1. Introduction -- 2. Literature review -- 3. Proposed storage area network design methodologies -- 4. Performance evaluation of SAN systems -- 5. Conclusions and recommendations -- 6. References -- Appendix A. Glossary -- Appendix B. SANSIM code.