Paper Info
Title
Measures of Fault Tolerance in Distributed Simulated Annealing
Abstract
In this paper, we examine the different measures of Fault Tolerance in a Distributed Simulated Annealing process. Optimization by Simulated Annealing on a distributed system is prone to various sources of failure. We analyse simulated annealing algorithm, its architecture in distributed platform and potential sources of failures. We examine the behaviour of tolerant distributed system for optimization task. We present possible methods to overcome the failures and achieve fault tolerance for the distributed simulated annealing process. We also examine the implementation of Simulated Annealing in MapReduce system and possible ways to prevent failures in reaching the global optima. This paper will be beneficial to those who are interested in implementing a large scale distributed simulated annealing optimization problem of industrial or academic interest. We recommend hybrid tolerance technique to optimize the trade-off between efficiency and availability.
Year
Venue
Field
2012
CoRR
Simulated annealing,Computer science,Real-time computing,Fault tolerance,Optimization problem,Distributed computing
DocType
Volume
ISSN
Journal
abs/1212.3295
International Conference on Perspective of Computer Confluence with Sciences, pp 111-114, 2012, Excel Publisher
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
Aaditya Prakash1122.84