TY - JOUR
T1 - The architecture of the Remos system
AU - Dinda, Peter A
AU - Gross, Thomas
AU - Karrer, Roger
AU - Lowekamp, Bruce
AU - Miller, Nancy
AU - Steenkiste, Peter
AU - Sutherland, Dean
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2001
Y1 - 2001
N2 - Remos provides resource information to distributed applications. Its design goals of scalability, flexibility, and portability are achieved through an architecture that allows components to be positioned across the network, each collecting information about its local network. To collect information from different types of networks and from hosts on those networks, Remos provides several collectors that use different technologies, such as SNMP or benchmarking. By matching the appropriate collector to each particular network environment and by providing an architecture for distributing the output of these collectors across all querying environments, Remos collects appropriately detailed information at each site and distributes this information where needed in a scalable manner Prediction services are integrated at the user-level, allowing history-based data collected across the network to be used to generate the predictions needed by a particular user Remos has been implemented and tested in a variety, of networks and is in use in a number of different environments.
AB - Remos provides resource information to distributed applications. Its design goals of scalability, flexibility, and portability are achieved through an architecture that allows components to be positioned across the network, each collecting information about its local network. To collect information from different types of networks and from hosts on those networks, Remos provides several collectors that use different technologies, such as SNMP or benchmarking. By matching the appropriate collector to each particular network environment and by providing an architecture for distributing the output of these collectors across all querying environments, Remos collects appropriately detailed information at each site and distributes this information where needed in a scalable manner Prediction services are integrated at the user-level, allowing history-based data collected across the network to be used to generate the predictions needed by a particular user Remos has been implemented and tested in a variety, of networks and is in use in a number of different environments.
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U2 - 10.1109/HPDC.2001.945194
DO - 10.1109/HPDC.2001.945194
M3 - Article
AN - SCOPUS:0034876219
SN - 1082-8907
SP - 252
EP - 265
JO - IEEE International Symposium on High Performance Distributed Computing, Proceedings
JF - IEEE International Symposium on High Performance Distributed Computing, Proceedings
ER -