Please use this identifier to cite or link to this item:
Title: Providing scalable database services on the cloud
Authors: Chen, C.
Chen, G.
Jiang, D. 
Ooi, B.C. 
Vo, H.T. 
Wu, S. 
Xu, Q. 
Issue Date: 2010
Citation: Chen, C.,Chen, G.,Jiang, D.,Ooi, B.C.,Vo, H.T.,Wu, S.,Xu, Q. (2010). Providing scalable database services on the cloud. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6488 LNCS : 1-19. ScholarBank@NUS Repository.
Abstract: The Cloud is fast gaining popularity as a platform for deploying Software as a Service (SaaS) applications. In principle, the Cloud provides unlimited compute resources, enabling deployed services to scale seamlessly. Moreover, the pay-as-you-go model in the Cloud reduces the maintenance overhead of the applications. Given the advantages of the Cloud, it is attractive to migrate existing software to this new platform. However, challenges remain as most software applications need to be redesigned to embrace the Cloud. In this paper, we present an overview of our current on-going work in developing epiC - an elastic and efficient power-aware data-intensive Cloud system. We discuss the design issues and the implementation of epiC's storage system and processing engine. The storage system and the processing engine are loosely coupled, and have been designed to handle two types of workload simultaneously, namely data-intensive analytical jobs and online transactions (commonly referred as OLAP and OLTP respectively). The processing of large-scale analytical jobs in epiC adopts a phase-based processing strategy, which provides a fine-grained fault tolerance, while the processing of queries adopts indexing and filter-and-refine strategies. © 2010 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN: 3642176151
ISSN: 03029743
DOI: 10.1007/978-3-642-17616-6_1
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Sep 29, 2022

Page view(s)

checked on Sep 22, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.