Bridging the Gap Between Cluster and Grid Computing
Author(s) -
Albano Alves,
António Manuel Silva Pina
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-34141-2
DOI - 10.1007/11752578_25
Subject(s) - computer science , distributed computing , grid computing , exploit , interoperability , bridging (networking) , grid , workstation , computer cluster , computation , utility computing , operating system , computer network , cloud computing , geometry , mathematics , computer security , algorithm , cloud computing security
The Internet computing model with its ubiquitous networking and computing infrastructure is driving a new class of interoperable applications that benefit both from high computing power and multiple Internet connections. In this context, grids are promising computing platforms that allow to aggregate distributed resources such as workstations and clusters to solve large-scale problems. However, because most parallel programming tools were primarily developed for MPP and cluster computing, to exploit the new environment higher abstraction and cooperative interfaces are required. Rocmeμ is a platform originally designed to support the operation of multi-SAN clusters that integrates application modeling and resource allocation. In this paper we show how the underlying resource oriented computation model provides the necessary abstractions to accommodate the migration from cluster to multicluster grid enabled computing.
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