By Topic

Providing high performance distributed computing through scalable computation servers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
O. Kremien ; Dept. of Math. & Comput. Sci., Bar-Ilan Univ., Ramat-Gan, Israel ; J. Kramer

Distributed applications spanning multiple nodes should he capable of providing fast response. Computation servers equipped with powerful processors and large memories can improve performance by better utilising system resources such as offloading overloaded nodes. A computation service may comprise all the nodes of the system (in case all are equipped with the required resources) or a small subset such as provided by a pool of computation servers (as in Amoeba). In both cases there can be a large number of service providers (compute servers). A server selection service is required to choose the most suitable server to provide the service. This paper is concerned with the design of adaptive computation server selection with scale recognised as a primary design and implementation factor. Adaptive system partitioning into domains is advocated as a key design principle for scalability. The model is demonstrated with compute-server selection using adaptive partitioning compared to the same service using random selection and probing

Published in:

High Performance Distributed Computing, 1994., Proceedings of the Third IEEE International Symposium on

Date of Conference:

2-5 Aug 1994