Towards Data Handling Requirements-Aware Cloud Computing

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI:10.1109/CloudCom.2013.145

Martin Henze, Marcel Grossfengels, Maik Koprowski, Klaus Wehrle

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引用次数: 32

Abstract

The adoption of the cloud computing paradigm is hindered by severe security and privacy concerns which arise when outsourcing sensitive data to the cloud. One important group are those concerns regarding the handling of data. On the one hand, users and companies have requirements how their data should be treated. On the other hand, lawmakers impose requirements and obligations for specific types of data. These requirements have to be addressed in order to enable the affected users and companies to utilize cloud computing. However, we observe that current cloud offers, especially in an intercloud setting, fail to meet these requirements. Users have no way to specify their requirements for data handling in the cloud and providers in the cloud stack - even if they were willing to meet these requirements - can thus not treat the data adequately. In this paper, we identify and discuss the challenges for enabling data handling requirements awareness in the (inter-)cloud. To this end, we show how to extend a data storage service, AppScale, and Cassandra to follow data handling requirements. Thus, we make an important step towards data handling requirements-aware cloud computing.

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面向数据处理需求感知的云计算

在将敏感数据外包给云计算时，会出现严重的安全和隐私问题，这阻碍了云计算范式的采用。其中一个重要的问题是关于数据处理的问题。一方面，用户和公司对如何处理他们的数据有要求。另一方面，立法者对特定类型的数据施加要求和义务。为了使受影响的用户和公司能够利用云计算，必须解决这些需求。然而，我们观察到当前的云服务，特别是在云间设置中，无法满足这些要求。用户无法指定他们对云中数据处理的需求，而云堆栈中的提供商——即使他们愿意满足这些需求——也无法充分处理数据。在本文中，我们确定并讨论了在云中实现数据处理需求感知的挑战。为此，我们将展示如何扩展数据存储服务AppScale和Cassandra以满足数据处理需求。因此，我们向数据处理需求感知云计算迈出了重要的一步。

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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2013 IEEE 5th International Conference on Cloud Computing Technology and Science

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