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In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

机译：在云中，科学社区可以从规模经济中受益吗？

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The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud computing: in cloud, can small-to-medium scale scientific communities benefit from the economies of scale? Our research contributions are threefold: first, we propose an innovative public cloud usage model for small-to-medium scale scientific communities to utilize elastic resources on a public cloud site while maintaining their flexible system controls, i.e., create, activate, suspend, resume, deactivate, and destroy their high-level management entitiesȁ4;service management layers without knowing the details of management. Second, we design and implement an innovative systemȁ4;DawningCloud, at the core of which are lightweight service management layers running on top of a common management service framework. The common management service framework of DawningCloud not only facilitates building lightweight service management layers for heterogeneous workloads, but also makes their management tasks simple. Third, we evaluate the systems comprehensively using both emulation and real experiments. We found that for four traces of two typical scientific workloads: High-Throughput Computing (HTC) and Many-Task Computing (MTC), DawningCloud saves the resource consumption maximally by 59.5 and 72.6 percent for HTC and MTC service providers, respectively, and saves the total resource consumption maximally by 54 percent for the resource provider with respect to the previous two public cloud solutions. To this end, we conclude that small-to-medium scale scientific communities indeed can benefit from the economies of scale of public clouds with the support of the enabling system.
机译：云计算背后的基本思想是资源提供商向最终用户提供弹性资源。在本文中，我们打算回答一个有关云计算成功的关键问题：在云中，中小型科学界能否从规模经济中受益？我们的研究贡献包括三个方面：首先，我们为中小型科学社区提出了一种创新的公共云使用模型，以利用公共云站点上的弹性资源，同时保持其灵活的系统控制，即创建，激活，暂停，恢复，停用和销毁其高级管理实体ȁ4；服务管理层，而无需了解管理细节。其次，我们设计并实施一个创新的系统ȁ4； DawningCloud，其核心是运行在通用管理服务框架之上的轻量级服务管理层。 DawningCloud的通用管理服务框架不仅有助于为异构工作负载构建轻量级服务管理层，而且还使其管理任务变得简单。第三，我们使用仿真和真实实验对系统进行全面评估。我们发现，对于两种典型的科学工作负载的四个痕迹：高吞吐量计算（HTC）和多任务计算（MTC），DawningCloud分别为HTC和MTC服务提供商最大程度地节省了59.5％和72.6％的资源消耗，并节省了与前两个公共云解决方案相比，资源提供者的总资源消耗最大减少了54％。为此，我们得出的结论是，在支持系统的支持下，中小型科学社区确实可以从公共云的规模经济中受益。

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