BDC 2012 - International Workshop on Big Data and Cloud (BDC 2012)
Topics/Call fo Papers
Recently, Cloud computing has emerged as a promising technology towards handling Big Data. The driving forces behind cloud computing are: (a) significantly reduced Total Cost of Ownership (TCO) of the required IT infrastructure and software including (but not limited to) purchasing, operating, maintaining and updating costs; (b) high Quality of Service (QoS) provided by cloud service providers such as availability, reliability and Pay-As-You-Go (PAYG) based low prices; and (c) easy access to organizational information and services anytime anywhere. In a nutshell, cloud computing provides a new paradigm for delivering computing resources (e.g., infrastructure, platform, software, etc.) to customers such as utilities (e.g., water, electricity, gas, etc.) on demand. Despite its own shortcomings, cloud becomes an attractive technology platform for developing and deploying Big Data analytics.
The international workshop on Big Data and Cloud (BDC 2012) will provide the scientific community a dedicated forum for discussing state-of-the-art research, development, and deployment efforts of Big Data in Cloud.
Topics of interest include, but are not limited to:
- Big Data applications in Cloud
- Big Data Analytics in Cloud
- Cloud Data Management Solutions
- Issues of Privacy, Security and Trust in Big Data Analytics
- Fragmentation issues of Big Data
- Big Data sharing in Cloud
- End-to-End Management of Big Data
- Case Studies
The international workshop on Big Data and Cloud (BDC 2012) will provide the scientific community a dedicated forum for discussing state-of-the-art research, development, and deployment efforts of Big Data in Cloud.
Topics of interest include, but are not limited to:
- Big Data applications in Cloud
- Big Data Analytics in Cloud
- Cloud Data Management Solutions
- Issues of Privacy, Security and Trust in Big Data Analytics
- Fragmentation issues of Big Data
- Big Data sharing in Cloud
- End-to-End Management of Big Data
- Case Studies
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Last modified: 2012-07-02 23:00:26