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 | |
| Publication status | Published - 2012 Sep 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Information Systems
- Computer Networks and Communications
Cite this
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Advances in intelligent grid and cloud computing. / Jung, Jason J.; Chang, Yue Shan; Liu, Ying; Wu, Chao-Chin.
In: Information Systems Frontiers, Vol. 14, No. 4, 01.09.2012, p. 823-825.Research output: Contribution to journal › Article
TY - JOUR
T1 - Advances in intelligent grid and cloud computing
AU - Jung, Jason J.
AU - Chang, Yue Shan
AU - Liu, Ying
AU - Wu, Chao-Chin
PY - 2012/9/1
Y1 - 2012/9/1
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84865359543&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865359543&partnerID=8YFLogxK
U2 - 10.1007/s10796-012-9349-x
DO - 10.1007/s10796-012-9349-x
M3 - Article
AN - SCOPUS:84865359543
VL - 14
SP - 823
EP - 825
JO - Information Systems Frontiers
JF - Information Systems Frontiers
SN - 1387-3326
IS - 4
ER -