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

Item — Call Number: MU Thesis Ran

Identifier: b2088314

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

All analog collection holdings are limited to library use only.

Collection holdings may not be borrowed through Interlibrary Loan.

Researchers seeking to photocopy collection materials must complete an Application to Photocopy Form.

Any photocopying of collection materials will be performed by the Monmouth University Library staff.

The Monmouth University Library reserves the right to limit or refuse duplication requests subject to the condition of collection materials and/or restrictions imposed by the collection creators or by the United States Copyright Act.

Permission to examine, or copy, collection materials does not imply permission to publish or quote. It is the responsibility of the researcher to obtain such permissions from both the copyright holder and Monmouth University.

Full 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 -- Appendices.