A replica selection strategy on ant-algorithm in data-intensive applications - Details

author：

Yang, Ling (Yang, Ling.) ^[1] | Lin, Jinxian (Lin, Jinxian.) ^[2] (Scholars：林锦贤) | Zheng, Yuying (Zheng, Yuying.) ^[3]

Indexed by：

EI Scopus

Abstract：

In　data-intensive　applications,　multiple　copies　of　the　same　data　were　created　to　improve　reliability　and　reduce　the　bandwidth　consumption.　Replica　selection　is　the　crucial　factor　in　accessing　data　quickly　and　effectively.　It　affects　task　scheduling,　thereby　affecting　the　efficiency　and　service　quality　of　the　application.　Within　this　paper,　a　modified　replica　selection　strategy　based　on　ant-algorithm　in　data-intensive　grid　is　proposed.　The　strategy　is　implemented　and　compared　with　other　file　replica　selection　algorithms　on　simulator　OptorSim.　The　experiments　results　show　that　the　strategy　discussed　in　this　thesis　has　certain　advantages　in　balancing　the　load　of　sites　and　reducing　the　mean　job　time.

Keyword：

Engineering Grid computing

Community：

[ 1 ] [Yang, Ling]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, CO 350108, China
[ 2 ] [Lin, Jinxian]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, CO 350108, China
[ 3 ] [Zheng, Yuying]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, CO 350108, China