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» Scalable Speculative Parallelization on Commodity Clusters
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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 6 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
JAVA
2001
Springer
13 years 10 months ago
Implementation of a portable software DSM in Java
Rapid commoditization of advanced hardware and progress of networking technology is now making wide area high-performance computing a.k.a. the ‘Grid’ Computing a reality. Sinc...
Yukihiko Sohda, Hidemoto Nakada, Satoshi Matsuoka
HPCA
2002
IEEE
13 years 11 months ago
User-Level Communication in Cluster-Based Servers
Clusters of commodity computers are currently being used to provide the scalability required by severalpopular Internet services. In this paper we evaluate an efficient cluster-b...
Enrique V. Carrera, Srinath Rao, Liviu Iftode, Ric...
CLOUD
2010
ACM
13 years 11 months ago
G-Store: a scalable data store for transactional multi key access in the cloud
Cloud computing has emerged as a preferred platform for deploying scalable web-applications. With the growing scale of these applications and the data associated with them, scalab...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
IPPS
1999
IEEE
13 years 10 months ago
Low-Latency Message Passing on Workstation Clusters using SCRAMNet
Clusters of workstations have emerged as a popular platform for parallel and distributed computing. Commodity high speed networks which are used to connect workstation clusters pr...
Vijay Moorthy, Matthew G. Jacunski, Manoj Pillai, ...