Advances in intelligent grid and cloud computing

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

doi:10.1007/s10796-012-9349-x

Advances in intelligent grid and cloud computing

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

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	823-825
Number of pages	3
Journal	Information Systems Frontiers
Volume	14
Issue number	4
DOIs	https://doi.org/10.1007/s10796-012-9349-x
Publication status	Published - 2012 Sep 1

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Information Systems
Computer Networks and Communications

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