TY - JOUR
T1 - Adaptive resource scheduling for network services
AU - Lee, Byoung Dai
AU - Weissman, Jon B.
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - Recently, there has been considerable interest in providing high performance codes as network services. In particular, high performance network services provide improved performance by executing complex and time-consuming applications (or part of an application) on remote high performance resources. However, since service providers resources are limited, without effective resource scheduling, end-users will not experience performance improvement. In this paper, we propose adaptive resource harvesting algorithms to schedule multiple concurrent service requests within network services. The preliminary results show that our approach can achieve service time improvement up to 40% for a prototypical parallel service.
AB - Recently, there has been considerable interest in providing high performance codes as network services. In particular, high performance network services provide improved performance by executing complex and time-consuming applications (or part of an application) on remote high performance resources. However, since service providers resources are limited, without effective resource scheduling, end-users will not experience performance improvement. In this paper, we propose adaptive resource harvesting algorithms to schedule multiple concurrent service requests within network services. The preliminary results show that our approach can achieve service time improvement up to 40% for a prototypical parallel service.
UR - http://www.scopus.com/inward/record.url?scp=84867448936&partnerID=8YFLogxK
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U2 - 10.1007/3-540-36133-2_19
DO - 10.1007/3-540-36133-2_19
M3 - Article
AN - SCOPUS:84867448936
SN - 0302-9743
VL - 2536
SP - 207
EP - 218
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -