Component Object Based Single System Image for Dependable Implementation of Genetic Programming on Clusters

Authors:
Ivan Tanev;Takashi Uozumi;Dauren Akhmetov
Affiliations:
ATR Human Information Science Laboratories, 2-2-2 Hikaridai, “Keihanna Science City”, Kyoto 619-0288, Japan;Department of Computer Science and System Engineering, Muroran Institute of Technology, 27-1 Mizumoto, Muroran 050-8585, Japan;Solution Department, Mobile Multimedia Business Headquarters, NTT DoCoMo Hokkaido Inc., 6-Nishi-1, West-14, Chuo-ku, Sapporo 060-0001, Japan
Venue:
Cluster Computing
Year:
2004

Citing 10
Cited 0

System identification: theory for the user

System identification: theory for the user
Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Parallel genetic programming and its application to trading model induction

Parallel Computing
High Performance Cluster Computing: Architectures and Systems

High Performance Cluster Computing: Architectures and Systems
Scalable architecture for parallel distributed implementation of genetic programming on network of workstations

Journal of Systems Architecture: the EUROMICRO Journal - Special issue on evolutionary computing
Genetic Programming III: Darwinian Invention & Problem Solving

Genetic Programming III: Darwinian Invention & Problem Solving
Component Object Based Single System Image Middleware for Metacomputer Implementation of Genetic Programming on Clusters

ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
A Representation for the Adaptive Generation of Simple Sequential Programs

Proceedings of the 1st International Conference on Genetic Algorithms
Experimental Study of Multipopulation Parallel Genetic Programming

Proceedings of the European Conference on Genetic Programming
Parallel Genetic Programming on a Network of Transputers

Parallel Genetic Programming on a Network of Transputers

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a distributed component-object model (DCOM) based single system image (SSI) for dependable parallel implementation of genetic programming (DPIGP). DPIGP is aimed to significantly and reliably improve the computational performance of genetic programming (GP) exploiting the inherent parallelism in GP among the evaluation of individuals. It runs on cost-effective clusters of commodity, non-dedicated, heterogeneous workstations or PCs. Developed SSI represents the pool of heterogeneous workstations as a single, unified virtual resource – a metacomputer, and addresses the issues of locating and allocating the physical resources, communicating between the entities of DPIGP, scheduling and load balancing. In addition, addressing the issue of fault tolerance, SSI allows for building a highly available metacomputer in which the cases of workstation failure result only in a corresponding partial degradation of the overall performance characteristics of DPIGP. Adopting DCOM as a communicating paradigm offers the benefits of software platform- and network protocol neutrality of proposed approach; and the generic support for the issues of locating, allocating and security of the distributed entities of DPIGP.