Abstract
In social media services and social network services, it is necessary to collect, analyze and process their big data with low maintenance cost. Therefore, distributed-parallel data processing on cloud platform is getting spotlight as useful solution for them. In this paper, we present a new architecture of DIVE-C: DIstributed-parallel Virtual Environment on Cloud computing platform for distributed parallel data processing applications which offers a transparent virtual computing environment in order to provide a way easy to launch user's distributed parallel applications. It hides the complexity of the cloud, and helps users to focus on their new applications and core services. DIVE-C uses agent-based resource management scheme to configure VM resources and application deployment for offering various distributed-parallel application models. VM resources are automatically provided by unified cloud management layer. Furthermore, an easy-to-use web interface of DIVE-C offers convenience to users. We implemented a prototype of DIVE-C, and its experiment results show the competitive performance of DIVE-C for dynamic resource and virtual computing environment provisioning for various data processing models.
| Original language | English |
|---|---|
| Pages (from-to) | 19-29 |
| Number of pages | 11 |
| Journal | International Journal of Multimedia and Ubiquitous Engineering |
| Volume | 8 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2013 |
Keywords
- Cloud computing
- Cloud platform
- Distributed-parallel computing
- PaaS
- Virtual computing environment
ASJC Scopus subject areas
- General Computer Science
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