DocumentCode :
3469524
Title :
Capability matching of data streams with network services
Author :
Gao, Han ; Judson, Ivan R. ; Uram, Thomas ; Disz, Terry L. ; Papka, Michael E. ; Stevens, Rick L.
Author_Institution :
Dept. of Comput. Sci., Chicago Univ., IL, USA
fYear :
2004
fDate :
19-22 April 2004
Firstpage :
419
Lastpage :
425
Abstract :
Distributed computing middleware needs to support a wide range of resources, such as diverse software components, various hardware devices, and heterogeneous operating systems and architectures. Current technologies are unable to implement a maintenance-free platform to be compatible with such different computing environments. This situation is presenting an increasing challenge as Grid computing becomes more widespread. The infrastructure of network services (CENSA and CENSI) has been proposed to address this challenge. A seamless Grid computing environment, supported by network services, is composed of various streams such as data, video, audio, and text. We define a mathematical model of capability matching for three-party agreements: requests from users, resources, and network services. Based on the mathematical model, we provide a general approach for capability matching. We also present a new language schema for capability description. As an example, we embed the general matchmaker in the architecture of the access Grid. Several tests of accuracy and performance are discussed.
Keywords :
data structures; distributed algorithms; grid computing; middleware; multimedia communication; CENSA; CENSI; Grid computing; access Grid; capability description; capability matching; data streams; distributed computing middleware; language schema; network services; performance; resources; three-party agreements; user requests; Biology computing; Computer science; Distributed computing; Geophysics computing; Grid computing; Hardware; Laboratories; Mathematical model; Operating systems; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2004. CCGrid 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8430-X
Type :
conf
DOI :
10.1109/CCGrid.2004.1336596
Filename :
1336596
Link To Document :
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