Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2011.5767881
Title: ES2: A cloud data storage system for supporting both OLTP and OLAP
Authors: Cao, Y.
Chen, C.
Guo, F.
Jiang, D. 
Lin, Y.
Ooi, B.C. 
Vo, H.T. 
Wu, S. 
Xu, Q. 
Issue Date: 2011
Source: Cao, Y.,Chen, C.,Guo, F.,Jiang, D.,Lin, Y.,Ooi, B.C.,Vo, H.T.,Wu, S.,Xu, Q. (2011). ES2: A cloud data storage system for supporting both OLTP and OLAP. Proceedings - International Conference on Data Engineering : 291-302. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2011.5767881
Abstract: Cloud computing represents a paradigm shift driven by the increasing demand of Web based applications for elastic, scalable and efficient system architectures that can efficiently support their ever-growing data volume and large-scale data analysis. A typical data management system has to deal with real-time updates by individual users, and as well as periodical large scale analytical processing, indexing, and data extraction. While such operations may take place in the same domain, the design and development of the systems have somehow evolved independently for transactional and periodical analytical processing. Such a system-level separation has resulted in problems such as data freshness as well as serious data storage redundancy. Ideally, it would be more efficient to apply ad-hoc analytical processing on the same data directly. However, to the best of our knowledge, such an approach has not been adopted in real implementation. Intrigued by such an observation, we have designed and implemented epiC, an elastic power-aware data-itensive Cloud platform for supporting both data intensive analytical operations (ref. as OLAP) and online transactions (ref. as OLTP). In this paper, we present ES2 - the elastic data storage system of epiC, which is designed to support both functionalities within the same storage. We present the system architecture and the functions of each system component, and experimental results which demonstrate the efficiency of the system. © 2011 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/41256
ISBN: 9781424489589
ISSN: 10844627
DOI: 10.1109/ICDE.2011.5767881
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