A Cloud Environment for Data-intensive Storage Services

E. K. Kolodner, Sivan Tal, D. Kyriazis, D. Naor, M. Allalouf, Lucia Bonelli, P. Brand, Albert Eckert, E. Elmroth, Spyridon V. Gogouvitis, Danny Harnik, F. Hernández-Rodriguez, M. Jäger, Ewnetu Bayuh Lakew, José Manuel López López, M. Lorenz, A. Messina, Alexandra Shulman-Peleg, R. Talyansky, A. Voulodimos, Y. Wolfsthal
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引用次数: 57

Abstract

The emergence of cloud environments has made feasible the delivery of Internet-scale services by addressing a number of challenges such as live migration, fault tolerance and quality of service. However, current approaches do not tackle key issues related to cloud storage, which are of increasing importance given the enormous amount of data being produced in today's rich digital environment (e.g. by smart phones, social networks, sensors, user generated content). In this paper we present the architecture of a scalable and flexible cloud environment addressing the challenge of providing data-intensive storage cloud services through raising the abstraction level of storage, enabling data mobility across providers, allowing computational and content-centric access to storage and deploying new data-oriented mechanisms for QoS and security guarantees. We also demonstrate the added value and effectiveness of the proposed architecture through two real-life application scenarios from the healthcare and media domains.
面向数据密集型存储服务的云环境
云环境的出现通过解决诸如实时迁移、容错和服务质量等一系列挑战,使互联网规模服务的交付成为可能。然而,目前的方法并没有解决与云存储相关的关键问题,考虑到在当今丰富的数字环境中产生的大量数据(例如,智能手机、社交网络、传感器、用户生成的内容),云存储的重要性日益增加。在本文中,我们提出了一个可扩展和灵活的云环境的架构,通过提高存储的抽象级别,实现跨提供商的数据移动性,允许对存储进行计算和以内容为中心的访问,以及为QoS和安全保证部署新的面向数据的机制,解决了提供数据密集型存储云服务的挑战。我们还通过来自医疗保健和媒体领域的两个实际应用场景演示了所建议架构的附加价值和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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