TRUSS: a reliable, scalable server architecture

Author

Gold, Brian T. ; Kim, Jangwoo ; Smolens, Jared C. ; Chung, Eric S. ; Liaskovitis, Vasileios ; Nurvitadhi, Eriko ; Falsafi, Babak ; Hoe, James C. ; Nowatzyk, Andreas G.

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

25

Issue

6

fYear

2005

Firstpage

51

Lastpage

59

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.

Keywords

distributed shared memory systems; fault tolerance; parallel architectures; DSM multiprocessor; TRUSS architecture; Total Reliability Using Scalable Servers; commodity server requirements; distributed shared-memory; mainframes; memory storage redundancy; shared-memory programming model; Biomembranes; Control systems; Delay; Error correction; Error correction codes; Fault tolerant systems; Out of order; Process design; Protection; Redundancy; Performance Analysis and Design Aids; Reliability; Testing; and Fault-Tolerance;

fLanguage

English

Journal_Title

Micro, IEEE

Publisher

ieee

ISSN

0272-1732

Type

jour

DOI

10.1109/MM.2005.122

Filename

1566557