DIVE-C: Distributed-parallel Virtual Environment on Cloud computing platform

In Yong Jung, Byong John Han, Hanku Lee, Chang Sung Jeong

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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 languageEnglish
Pages (from-to)19-29
Number of pages11
JournalInternational Journal of Multimedia and Ubiquitous Engineering
Issue number5
Publication statusPublished - 2013


  • Cloud computing
  • Cloud platform
  • Distributed-parallel computing
  • PaaS
  • Virtual computing environment

ASJC Scopus subject areas

  • Computer Science(all)


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