NDLI: An approximate performance model of a Unitree mass storage system

Content Provider	IEEE Xplore Digital Library
Author	Pentakalos, O.I. Menasce, D.A. Halem, M. Yesha, Y.
Copyright Year	1995
Description	Author affiliation: CESDIS, Maryland Univ., Baltimore, MD, USA (Pentakalos, O.I.)
Abstract	Mass storage systems are finding greater use in scientific computing research environments for retrieving and archiving the large volumes of data generated and manipulated by scientific computation. The paper presents a queuing network model that can be used to carry out capacity planning studies of the Unitree mass storage system. Measurements taken on an existing system and a detailed workload characterization provided the workload intensity and resource demand parameters for the various types of read and write requests. The performance model developed here is based on approximations to multi-class mean value analysis of queuing networks. The approximations were validated through the use of discrete event simulation. The resulting baseline model was used to predict the performance of the system as the workload intensity increases.
Starting Page	210
Ending Page	224
File Size	1377386
Page Count	15
File Format	PDF
ISBN	0818670649
ISSN	10519173
DOI	10.1109/MASS.1995.528231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-11
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Network servers Scientific computing Information retrieval Utility programs File systems Telecommunication traffic Traffic control NASA Queueing analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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