Effect of Batching on Performance Characteristics of DCOM-based Distributed Implementation of Genetic Programming

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@InProceedings{tanev:2000:PETTA,
  author =       "Ivan Tanev and Takashi Uozumi and Koichi Ono",
  title =        "Effect of Batching on Performance Characteristics of
                 DCOM-based Distributed Implementation of Genetic
                 Programming",
  booktitle =    "Proceedings of International Conference on Performance
                 Evaluation (PerETTA-2000)",
  year =         "2000",
  pages =        "32--37",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "performance characteristics of developed distributed
                 implementation of genetic programming (DIGP). Proposed
                 implementation exploits the inherent medium-grained
                 parallelism among evaluation of the individuals in
                 genetic programming. It runs on cost-efficient
                 configurations of clusters in LAN and/or Internet
                 environment. DIGP exploits distributed component object
                 model (DCOM) as an underlying host to host
                 communication paradigm, which offers such advantages as
                 binary standardisation, platform-, machine- and
                 protocol-neutrality and seamless integration with
                 different Internet protocols. In addition, as a true
                 system model, DCOM offers generic support for the
                 issues of naming, locating and protecting the
                 distributed entities in proposed implementation.
                 However, as an application-level protocol, DCOM
                 features significant software overheads, which, in some
                 cases might be above the cost of distributed
                 computations. We introduce the approach of batching for
                 reducing the specific software overhead of DCOM, and
                 present the analytically estimated and empirically
                 proved effect on the performance characteristics of
                 developed DIGP.",
}

Genetic Programming entries for Ivan T Tanev Takashi Uozumi Koichi Ono

Citations