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Toward Broad-Spectrum Autonomic Management

机译:走向广谱自主管理

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The fields of autonomics and system configuration share a common goal in decreasing the cost of ownership of large fabrics. In this paper we present a combined vision in which the technical advances of autonomics and the usability advances of system configuration are merged. We present some early system configuration research that forms the first steps toward this vision. Computer fabrics are becoming ever more complex and ever more central to the operation of organisations. The cost of a single fabric failure can easily dwarf the cost of employing its administrators [1] but, as for software developers before them [2], IT managers are discovering that simply adding more people to a complex problem does not necessarily provide better results. Autonomics has as its origin the attempt to improve the robustness of an infrastructure by enabling the fabric itself to respond to changes in its environment [3]. But how can we be sure that the the large-scale properties of the fabric will be maintained as it attempts to heal itself? Allowing the fabric to modify itself and evolve its own solutions will make management more difficult, not less, unless the power of administrators to understand and control their fabric is not also increased. The authors驴 background is not in autonomics, but in system configuration [4], the study of correctly, accurately and scalably building and maintaining computer fabrics. In this paper we present our vision of an autonomic fabric, a fabric which can recover from many errors without human intervention, yet never be beyond the control or understanding of its administrators. This, we believe, will be a fabric which is affordable, both in terms of the effort needed to maintain it and in terms of its support for critical applications.
机译:自主主义和系统配置领域共享一个共同目标,降低大面料的所有权成本。在本文中,我们提出了一种综合视觉,其中自动学的技术进步和系统配置的可用性进步。我们提出了一些早期系统配置研究,形成了对此视觉的第一步。计算机面料正在变得更加复杂,更为核心组织的运营。单个织物故障的成本可以轻松地削弱采用管理员的成本[1],但是,如在他们面前的软件开发人员[2],IT经理正在发现,只需将更多人添加到复杂的问题,不一定提供更好的结果。自动学凭借其原因,通过使结构本身能够响应其环境的变化来提高基础架构的稳健性[3]。但是,我们怎样才能确定织物的大规模属性将被维持,因为它试图愈合自己?允许面料修改自己并发展自己的解决方案将使管理层更加困难,而不是较少,除非管理员的力量理解和控制其面料也没有增加。作者驴背景不是自主学习,而是在系统配置[4]中,研究正确,准确,可伸缩地构建和维护计算机面料。在本文中,我们展示了自主结构的愿景,这是一种可以从没有人为干预的许多错误中恢复的织物,但永远不会超出对其管理者的控制或理解。这是我们相信的,这将是一种价格实惠的织物,无论是在维护它所需的努力方面,也是为了支持关键应用。

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