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An antibody network inspired evolutionary framework for distributed object computing

INFORMATION SCIENCES 2008年第24期178卷 4619-4631页

作者： Ding, Yong-Sheng Hu, Zhi-Hua Sun, Hong-Bin Donghua Univ Coll Informat Sci & Technol Shanghai 201620 Peoples R China Donghua Univ Minist Educ Engn Res Ctr Digitized Text & Fash Technol Shanghai 201620 Peoples R China

In order to meet the increasing scale and users requirements for the distributed object computing (DOC) systems, their infrastructures are highly desirable to be redesigned. Based on the principles of immune system and the evolution mechanisms learned from an antibody network model, a novel evolutionary framework for DOC (E-DOC) is proposed. The antibody network model as well as the evolution process including clonal proliferation, immune elimination, and immune memory is studied. Then, E-DOC framework based on the antibody network is proposed, whose simulation platform is designed and implemented. On the platform, the evolutionary features are studied by: (1) diversity and stability of antibodies and genotypes, (2) detection and elimination of antigens, (3) effect of immune memory, and (4) tendency of eliminated and stimulated antigens. The experiment results show that the proposed framework can achieve the evolution ability and the promising performance, which are critical to DOC systems. E-DOC is extendable for the future design of distributed object middleware, such as WebSphere Application Server and BEA WebLogic Application Server. (C) 2008 Elsevier Inc. All rights reserved.

关键词： Artificial immune system Antibody network Distributed object computing Distributed system Evolutionary framework bio-inspired computing framework

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An immune inspired co-evolutionary affinity network for prefetching of distributed object

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JOURNAL OF PARALLEL AND DISTRIBUTED computing 2010年第2期70卷 92-100页

作者： Hu, Zhi-Hua Ding, Yong-Sheng Shanghai Maritime Univ Logist Res Ctr Shanghai 200135 Peoples R China Donghua Univ Coll Informat Sci & Technol Shanghai 201620 Peoples R China Minist Educ Engn Res Ctr Digitized Text & Fash Technol Shanghai 201620 Peoples R China

In distributed object computing (DOC) containers, cache strategy as a passive approach improves the performance by caching the recently accessed objects. By the advent of large-scale enterprise applications caching methods fail to keep pace with the increasing importance of performance and the of DOC, increasing scale of DOC system. Prefetching is an effective approach to improve the performance. It generates and stores pages or objects in caches in advance. by predicting the requests. In the current DOC container, prefetching strategy is not supported and seldom studied in the literature. The immune system with faster secondary response and its affinity network inspire applying the immune mechanisms to build holistic model of DOC for performance improvement. In this study, a co-evolutionary affinity network (CEA-Net) is proposed for prefetching distributed objects. In CEA-Net, objects are antibodies and computation tasks are antigens. Invocation relations among object classes are modeled by the immune network of antibody genotypes. Multiple affinity measures among antibody, antigen, genotypes of antibody and antigen, genotype set and antibody population are defined to model the complex relations among distributed objects. Especially in the antibody population, immune principles including clonal proliferation, immune memory, immune toleration and elimination are designed to add evolutionary features to the antibody population. Based on CEA-Net, the prefetching architecture for DOC is built including 5 main procedures, Network Abstractor, Access Recorder, Object Factory, Cache Engine and Prefetch Engine. Finally, the experimental study shows the promising access performance and the evolutionary features of CEA-Net. CEA-Net is instructive for the future design of high performance DOC containers, such as WebSphere Application Server and BEA WebLogic Application Server. (C) 2009 Elsevier Inc. All rights reserved.

关键词： Distributed object computing Co-evolutionary immune network Immune affinity bio-inspired computing framework PageRank

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