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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{tanev:2001:ICCS,

• author = "Ivan Tanev and Takashi Uozumi and Dauren Akhmetov",
• title = "Component Object Based Single System Image Middleware for Metacomputer Implementation of Genetic Programming on Clusters",
• booktitle = "Computational Science - ICCS 2001: International Conference",
• year = "2001",
• editor = "V. N. Alexandrov and J. J Dongarra and B. A. Juliano and R. S. Renner and C. J. K. Tan",
• volume = "2073",
• series = "LNCS",
• pages = "284--293",
• address = "San Francisco, CA, USA",
• publisher_address = "Heidelberg",
• month = may # " 28-30",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-42232-3",
• DOI = "doi:10.1007/3-540-45545-0_37",
• size = "10 pages",
• abstract = "We present a distributed component-object model (DCOM) based single system image middleware (SSIM) for metacomputer implementation of genetic programming (MIGP). MIGP is aimed to significantly improve the computational performance of genetic programming (GP) exploiting the inher-ent parallelism in GP among the evaluation of individuals. It runs on cost-effective clusters of commodity, non-dedicated, heterogeneous workstations. Developed SSIM represents these workstations as a unified virtual resource and addresses the issues of locating and allocating the physical resources, commu-nicating between the entities of MIGP, scheduling and load balance. Adopting DCOM as a communicating paradigm offers the benefits of software platform-and network protocol neutrality of proposed implementation; and the generic support for the issues of locating, allocating and security of the distributed enti-ties of MIGP. Presented results of experimentally obtained speedup character-istics show close to linear speedup of MIGP for solving the time series identifi-cation problem on cluster of 10 W2K workstations.",

}

Genetic Programming entries for Ivan T Tanev Takashi Uozumi Dauren Akhmetov

Citations