z-logo
open-access-imgOpen Access
A Dynamic Co-allocation Service in Multicluster Systems
Author(s) -
Jove M. P. Sinaga,
Hashim Mohamed,
Dick Epema
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-25330-0
DOI - 10.1007/11407522_11
Subject(s) - computer science , resource allocation , distributed computing , fault tolerance , software , service (business) , component (thermodynamics) , work (physics) , resource management (computing) , operating system , computer network , mechanical engineering , physics , economy , engineering , economics , thermodynamics
In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors in multiple clusters to improve their performance. In previous work, we have studied processor co-allocation through simulations. Here, we extend this work with the design and implementation of a dynamic processor co-allocation service in multicluster systems. While an implementation of basic co-allocation mechanisms has existed for some years in the form of the DUROC component of the Globus Toolkit, DUROC does not provide resource-brokering functionality or fault tolerance in the face of job submission or completion failures. Our design adds these two elements in the form of a software layer on top of DUROC. We have performed experiments that show that our co-allocation service works reliably.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom