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首页> 外文期刊>International Journal of Innovative Computing Information and Control >SCALABILITY ISSUES IN NETWORK SELF-MANAGEMENT: A PARTITIONING APPROACH TOWARDS SCALABLE AUTONOMIC MANAGEMENT COMPUTATION
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SCALABILITY ISSUES IN NETWORK SELF-MANAGEMENT: A PARTITIONING APPROACH TOWARDS SCALABLE AUTONOMIC MANAGEMENT COMPUTATION

机译：网络自我管理中的可扩展性问题：一种针对可扩展的自动管理计算的分区方法

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摘要

Network characteristics such as service diversity, large network size and technology heterogeneity are currently inducing network management to become a highly complex task for administrators. In this context, Autonomic Management Systems (AM Ss) are being investigated as possible approaches capable of dealing with this inherent complexity. In effect, it is expected that new autonomic systems and solutions could, among other functions, both configure and optimize network resources while keeping network performance characteristics in a scalable way. This paper addresses, fundamentally, the scalability problem faced by current AMS implementations. The proposed solution consists in a generic partitioning method that improves AMS capability to execute on-the-fly autonomic management computation and, as such, establishes a viable path towards on-the-fly autonomic management systems. By on-the-fly autonomic management systems it is meant an AMS that computes autonomic solutions in more realistic time frame. It is argued that the network partitioning strategy proposed can be applied to manage the management computation scalability problem associated with complex networks while considering a practical and realistic set of requirements and parameters specified by the network administrator such as QoS parameters (SLAs) and execution time. This paper addresses initially the set of basic network management require-ments considered by the partitioning method, details the partitioning method and, finally, evaluates the scalability issues considering a self-managed framework (AMS) in diverse scalable scenarios. Results points to the feasibility of the partitioning method in scenarios with different traffic matrix allocation and, beyond that, under new topologies resulting from failures.
机译：服务多样性，大型网络规模和技术异质性等网络特征目前正在促使网络管理成为管理员的一项非常复杂的任务。在这种情况下，正在研究自主管理系统（AM Ss）作为能够处理这种固有复杂性的可能方法。实际上，期望新的自主系统和解决方案除其他功能外，还可以配置和优化网络资源，同时以可扩展的方式保持网络性能特征。本文从根本上解决了当前AMS实现所面临的可伸缩性问题。所提出的解决方案包括一种通用的分区方法，该方法提高了AMS执行动态自主管理计算的能力，因此为动态自主管理系统建立了可行的途径。飞行中的自主管理系统意味着AMS在更现实的时间范围内计算自主解决方案。有人认为，提出的网络分区策略可用于管理与复杂网络相关的管理计算可伸缩性问题，同时考虑网络管理员指定的一组实际可行的要求和参数，例如QoS参数（SLA）和执行时间。本文首先解决了分区方法考虑的一组基本网络管理要求，详细介绍了分区方法，最后评估了在各种可扩展方案中考虑自管理框架（AMS）的可扩展性问题。结果表明，在具有不同流量矩阵分配的情况下，以及在故障导致的新拓扑下，该划分方法的可行性。

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