DocumentCode
797288
Title
Peer-to-peer-based resource discovery in global grids: a tutorial
Author
Ranjan, Rajiv ; Harwood, Aaron ; Buyya, Rajkumar
Author_Institution
Melbourne Univ., Parkville, VIC
Volume
10
Issue
2
fYear
2008
Firstpage
6
Lastpage
33
Abstract
An efficient resource discovery mechanism is one of the fundamental requirements for grid computing systems, as it aids in resource management and scheduling of applications. Resource discovery activity involves searching for the appropriate resource types that match the user´s application requirements. Various kinds of solutions to grid resource discovery have been suggested, including centralized and hierarchical information server approaches. However, both of these approaches have serious limitations in regard to scalability, fault tolerance, and network congestion. To overcome these limitations, indexing resource information using a decentralized (e.g., peer-to-peer (P2P)) network model has been actively proposed in the past few years. This article investigates various decentralized resource discovery techniques primarily driven by the P2P network model. To summarize, this article presents a: summary of the current state of the art in grid resource discovery, resource taxonomy with focus on the computational grid paradigm, P2P taxonomy with a focus on extending the current structured systems (e.g., distributed hash tables) for indexing d-dimensional grid resource queries,1 a detailed survey of existing work that can support rf-dimensional grid resource queries, and classification of the surveyed approaches based on the proposed P2P taxonomy. We believe that this taxonomy and its mapping to relevant systems would be useful for academic and industry-based researchers who are engaged in the design of scalable grid and P2P systems.
Keywords
fault tolerant computing; grid computing; peer-to-peer computing; resource allocation; scheduling; application scheduling; decentralized resource discovery; fault tolerance; global grids; grid computing systems; network congestion; peer-to-peer network; resource information indexing; resource management; resource taxonomy; Fault tolerance; Grid computing; Indexing; Job shop scheduling; Network servers; Processor scheduling; Resource management; Scalability; Taxonomy; Tutorial;
fLanguage
English
Journal_Title
Communications Surveys & Tutorials, IEEE
Publisher
ieee
ISSN
1553-877X
Type
jour
DOI
10.1109/COMST.2008.4564477
Filename
4564477
Link To Document