TY - GEN
T1 - MAPGrid
T2 - 7th IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
AU - Huang, Yun
AU - Venkatasubramanian, Nalini
AU - Wang, Yang
PY - 2007
Y1 - 2007
N2 - The rising popularity of mobile applications and devices has brought about an enhanced interest in infrastructure support for mobile computing. Our work focuses on the development of a mobile grid infrastructure called MAPGrid (Mobile Applications on Grids), where grid resources are exploited as proxies to enable advanced mobile applications. However, intermittent availability of grid resources presents challenges for data-intensive mobile applications. In this paper, we propose novel methodologies for placing mobile data on grid proxies. We introduce a notion of twotier architecture for MAPGrid, where the upper tier captures grid related features and the lower tier represents features associated with mobile environments. We further develop an intelligent mobile data placement mechanism that effectively balances tradeoffs between replication cost and data access cost by leveraging knowledge of grid availability and mobile data request patterns. Through extensive experimentation, we illustrate the superiority of the proposed techniques over several popular data placement strategies.
AB - The rising popularity of mobile applications and devices has brought about an enhanced interest in infrastructure support for mobile computing. Our work focuses on the development of a mobile grid infrastructure called MAPGrid (Mobile Applications on Grids), where grid resources are exploited as proxies to enable advanced mobile applications. However, intermittent availability of grid resources presents challenges for data-intensive mobile applications. In this paper, we propose novel methodologies for placing mobile data on grid proxies. We introduce a notion of twotier architecture for MAPGrid, where the upper tier captures grid related features and the lower tier represents features associated with mobile environments. We further develop an intelligent mobile data placement mechanism that effectively balances tradeoffs between replication cost and data access cost by leveraging knowledge of grid availability and mobile data request patterns. Through extensive experimentation, we illustrate the superiority of the proposed techniques over several popular data placement strategies.
UR - http://www.scopus.com/inward/record.url?scp=34548329775&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548329775&partnerID=8YFLogxK
U2 - 10.1109/CCGRID.2007.69
DO - 10.1109/CCGRID.2007.69
M3 - Conference contribution
AN - SCOPUS:34548329775
SN - 0769528333
SN - 9780769528335
T3 - Proceedings - Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
SP - 725
EP - 730
BT - Proceedings - Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
Y2 - 14 May 2007 through 17 May 2007
ER -