Title
Extremal optimization approach applied to initial mapping of distributed java programs
Abstract
An extremal optimization algorithm for initial Java program placement on clusters of Java Virtual Machines (JVMs) is presented. JVMs are implemented on multicore processors working under the ProActive Java execution framework. Java programs are represented as Directed Acyclic Graphs in which tasks correspond to methods of distributed active Java objects that communicate using a RMI mechanism. The presented probabilistic extremal optimization approach is based on the local fitness function composed of two sub-functions in which elimination of delays of task execution after reception of required data and the imbalance of tasks execution in processors are used as heuristics for improvements of extremal optimization solutions. The evolution of an extremal optimization solution is governed by task clustering supported by identification of the dominant path in the graph. The applied task mapping is based on dynamic measurements of current loads of JVMs and inter-JVM communication link bandwidth. The JVM loads are approximated by observation of the average idle time that threads report to the OS. The current link bandwidth is determined by observation of the performed average number of RMI calls per second.
Year
DOI
Venue
2010
10.1007/978-3-642-15277-1_18
Lecture Notes in Computer Science
Keywords
Field
DocType
task execution,active java object,applied task mapping,probabilistic extremal optimization approach,java virtual machines,java program,initial mapping,extremal optimization algorithm,extremal optimization solution,initial java program placement,proactive java execution framework,fitness function,distributed system,multicore processors,directed acyclic graph,program optimization,evolutionary algorithm,extremal optimization
Program optimization,Extremal optimization,Evolutionary algorithm,Computer science,Parallel computing,Java concurrency,Thread (computing),strictfp,Cluster analysis,Java,Distributed computing
Conference
Volume
ISSN
ISBN
6271
0302-9743
3-642-15276-7
Citations 
PageRank 
References 
5
0.51
15
Authors
6
Name
Order
Citations
PageRank
Ivanoe De Falco124234.58
Eryk Laskowski210718.85
Richard Olejnik3595.80
Umberto Scafuri411616.33
Ernesto Tarantino536142.45
Marek Tudruj627156.00