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Autonomic metered pricing for a utility computing service

机译:公用事业计算服务的自主计量定价

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摘要

An increasing number of providers are offering utility computing services which require users to pay only when they use them. Most of these providers currently charge users for metered usage based on fixed prices. In this paper, we analyze the pros and cons of charging fixed prices as compared to variable prices. In particular, charging fixed prices do not differentiate pricing based on different user requirements. Hence, we highlight the importance of deploying an autonomic pricing mechanism that self-adjusts pricing parameters to consider both application and service requirements of users. Performance results observed in the actual implementation of an enterprise Cloud show that the autonomic pricing mechanism is able to achieve higher revenue than various other common fixed and variable pricing mechanisms.
机译:越来越多的提供商正在提供实用程序计算服务,要求用户仅在使用时才付费。这些提供商中的大多数目前都根据固定价格向用户收费。在本文中,我们分析了收取固定价格与可变价格相比的优缺点。特别是,收取固定价格不会根据不同的用户需求区分定价。因此,我们强调了部署自动定价机制以自动考虑定价参数以同时考虑用户的应用程序和服务需求的重要性。在企业云的实际实施中观察到的性能结果表明,自主定价机制比其他各种常见的固定定价和可变定价机制能够实现更高的收入。

著录项

  • 来源
    《Future generation computer systems》 |2010年第8期|P.1368-1380|共13页
  • 作者单位

    Grid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3010, Australia;

    School of Computer Science and Engineering, The University of New South Wales, NSW 2052, Australia;

    rnGrid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3010, Australia;

    rnGrid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3010, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    service pricing; autonomic management; advanced reservation; quality of service (QoS); utility computing; cloud computing;

    机译:服务定价;自主管理;提前预订;服务质量(QoS);实用计算;云计算;

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