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首页> 外文期刊>Multimedia Tools and Applications >Ant colony based graph theory (ACGT) and resource virtual network mapping (RVNM) algorithm for home healthcare system in cloud environment
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Ant colony based graph theory (ACGT) and resource virtual network mapping (RVNM) algorithm for home healthcare system in cloud environment

机译：基于蚁群的云环境医疗保健系统的基于蚁群的图论（ACGT）和资源虚拟网络映射（RVNM）算法

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摘要

In recent decades, new efficient heuristic algorithms are introduced which helps in alleviating both large virtual and physical networks in the case when there are a host of healthcare service providers that are part of the evaluation and analysis. Demarcating virtual resources as separate physical nodes as well as co-localization of prerequisites inherent in physical nodes is relatively time consuming. To solve this problem in this work Ant Colony based Graph Theory (ACGT) is proposed for selection of resources which eliminates infeasible mappings between fundamental and material resources available. The major aim of the study here is to provide better resource allocation mapping. This ACGT additionally in conjunction maps jointly nodes as well as links and offers the most probable optimized solutions. Algorithm here breaks-down the graph as topological sequences that are followed by ACGT to resolve mapping related issues. Any possible mapping occurs only when the virtual node capacity that is requested less in comparison than the remainder candidate physical node capacity and also when virtual link latency is comparatively greater than candidate physical path latency or that of the link. ACGT performance and its precise, heuristic and two-stage algorithms have been analyzed and studied in this cloud environment. All the methods are implemented via the use of JAVA environment and applied to google cloud.
机译：近几十年来，介绍了新的高效启发式算法，这有助于减轻在有一系列评估和分析的医疗服务提供商的情况下减轻大型虚拟和物理网络。将虚拟资源划分为单独的物理节点以及物理节点固有的先决条件的共同定位是相对耗时的。为了解决这一问题，在这项工作中，蚂蚁基于群体的图形理论（ACGT）被提出选择提供资源，从而消除了可用的基本和物质资源之间的不可行映射。这项研究的主要目的是提供更好的资源分配映射。此ACGT还在结合地图中映射，以及链接，并提供最可能的优化解决方案。此处将图表分解为拓扑序列，然后是ACGT解析映射相关问题。只有在比较那么少于剩余候选物理节点容量的虚拟节点容量时才会发生任何可能的映射，并且当虚拟链路延迟比较大于候选物理路径延迟或链路的候选物理路径延迟时才会较少。在该云环境中分析和研究了ACGT性能及其精确，启发式和两阶段算法。所有方法都是通过使用Java环境来实现并应用于Google云。

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