Biologically-Inspired Design of Autonomous and Adaptive Grid Services

Chonho Lee, J. Suzuki
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引用次数: 8

Abstract

This paper describes and evaluates a biologically-inspired network architecture that allows grid services to autonomously adapt to dynamic environment changes in the network. Based on the observation that the immune system has elegantly achieved autonomous adaptation, the proposed mechanism, the iNet artificial immune system, is designed after the mechanisms behind how the immune system detects antigens (e.g., viruses) and specifically reacts to them. iNet models a set of environment conditions (e.g., network traffic and resource availability) as an antigen and a behavior of grid services (e.g., migration and replication) as an antibody. iNet allows each grid service to autonomously sense its surrounding environment conditions (an antigen) to evaluate whether it adapts well to the sensed conditions, and if it does not, adaptively perform a behavior (an antibody) suitable for the sensed conditions. Simulation results show that iNet allows grid services to autonomously adapt their population and location to environmental changes for improving their performance (e.g., response time and throughput) and balancing workload
自主和自适应网格服务的生物学启发设计
本文描述并评估了一种受生物学启发的网络架构,该架构允许网格服务自主适应网络中动态环境的变化。基于对免疫系统已优雅地实现自主适应的观察,所提出的机制,即iNet人工免疫系统,是在免疫系统如何检测抗原(例如病毒)并对其产生特异性反应的机制之后设计的。iNet将一组环境条件(例如,网络流量和资源可用性)建模为抗原,将网格服务的行为(例如,迁移和复制)建模为抗体。iNet允许每个网格服务自主地感知其周围的环境条件(抗原),以评估它是否能很好地适应所感知的条件,如果不能,则自适应地执行适合所感知条件的行为(抗体)。仿真结果表明,iNet允许网格服务根据环境变化自主调整其人口和位置,以提高其性能(如响应时间和吞吐量)并平衡工作负载
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