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Introduction

Cloud computing has emerged as a promising computing and business model. By providing on-demand scaling capabilities without any large upfront investment or long-term commitment, it is attracting a wide range of users. The database community has also shown great interest in exploiting this new platform for data management services in a highly scalable and cost-efficient manner. Cloud computing presents challenges and opportunities for data management. The Cloud Data Management (CloudDM) workshop aims to bring researchers and practitioners in cloud computing and data management systems together to discuss the research issues at the intersection of those areas, share experiences building and managing cloud-scale data management services, and also to draw more attention from the larger data management research community to this highly promising field.

Call for paper

Submission Topics

Topics of interest include, but not limited to: Cloud computing infrastructure for big data storage and computing Cloud privacy and security Distributed processing of streaming data Cloud data management for mobile applications Cloud-based real-time analytics Cloud-based system designs including architecture, scalability, economy, consistence-availability-partition (CAP), transactions, and security Services discovery and content distribution in cloud computing infrastructures Cross-platform interoperability Query processing and indexing in cloud computing systems Access control in cloud computing systems Service-level agreements, business models, and pricing policies Novel data-intensive computing applications Language for massively parallel query execution Data intensive scalable computing Content distribution systems for big data Data management within and across data centers Large-scale analytical methodology and algorithm Parallel and distributed data mining systems and algorithms
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Important Date

  • Apr 13

    2015

    Conference Date

  • Apr 13 2015

    Registration deadline

Sponsored By
IEEE Computer Society
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