Advances in intelligent grid and cloud computing

Jason J. Jung, Yue Shan Chang, Ying Liu, Chao-Chin Wu

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Advances in intelligent grid and cloud computing are discussed. Grid and Cloud Computing (GCC) frameworks have been one of the most popular research topics in recent years. These technologies are very important for supporting efficient user collaboration, since various resources for a project may be geographically distributed and heterogeneous. The managerial implications of this model are related to sustainable decision support and comprehensive decision approach. Moreover, the formal model is prototypically implemented using a software tool and examined with the help of a simulation study of three realistic scenarios and a sensitivity analysis. The second part consists of three papers that focus on various applications by or for cloud services. In the first paper of this section, Chang and his colleagues focus on investigating an in-memory database, called CUDADB, to scale up the performance of database systems using GPUs with Computer Unified Device Architecture (CUDA).

Original languageEnglish
Pages (from-to)823-825
Number of pages3
JournalInformation Systems Frontiers
Volume14
Issue number4
DOIs
Publication statusPublished - 2012 Sep 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computer Networks and Communications

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