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3. Truss: A Reliable, Scalable Server Architecture

Author

James C. Hoe, Eric S. Chung, Brian T. Gold, V. Liaskovitis, Jangwoo Kim, Eriko Nurvitadhi, Jared C. Smolens, Babak Falsafi, and A.G. Nowatzyk

Subjects
010302 applied physics, Computer science, Distributed computing, Truss, Multiprocessing, Fault tolerance, 02 engineering and technology, 01 natural sciences, 020202 computer hardware & architecture, Hardware and Architecture, Server, Software fault tolerance, 0103 physical sciences, Scalability, 0202 electrical engineering, electronic engineering, information engineering, Programming paradigm, Redundancy (engineering), Electrical and Electronic Engineering, Software
Abstract

Traditional techniques that mainframes use to increase reliability -special hardware or custom software - are incompatible with commodity server requirements. The Total Reliability Using Scalable Servers (TRUSS) architecture, developed at Carnegie Mellon, aims to bring reliability to commodity servers. TRUSS features a distributed shared-memory (DSM) multiprocessor that incorporates computation and memory storage redundancy to detect and recover from any single point of transient or permanent failure. Because its underlying DSM architecture presents the familiar shared-memory programming model, TRUSS requires no changes to existing applications and only minor modifications to the operating system to support error recovery.

Published
2005
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