Faculty Advisor

David Finkel

Faculty Advisor

Craig E. Wills

Faculty Advisor

Michael A. Gennert

Identifier

etd-042006-225855

Abstract

Public resource computing (PRC) is an innovative approach to high performance computing that relies on volunteers who donate their personal computers' unused resources to a computationally intensive research project. Prominent PRC projects include SETI@home, Folding@Home, and distributed.net. Many PRC projects are built upon a PRC framework that abstracts functionality that is common to all PRC projects, such as network communications, database access, and project management. These PRC frameworks tend to be complex, limiting, and difficult to use. We have designed and implemented a new PRC framework called the Simple Light-weight Infrastructure for Network Computing (SLINC) that addresses the disadvantages we identified with existing frameworks. SLINC is a flexible and extensible PRC framework that will enable researchers to more easily build PRC projects.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Computer Science

Project Type

Thesis

Date Accepted

2006-04-20

Accessibility

Unrestricted

Subjects

distributed systems, network computing, volunteer computing, public resource computing, Electronic data processing, Distributed processing, High performance computing, Resource allocation

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