Data Security Versus Survivability in Computer Grid
Data security and survivability are crucial issues in distributed computing that affect the service execution policy. By the optimal service task partition into execution blocks (EBs) and their distribution among different resources, one can achieve the greatest possible service reliability and/or expected performance subject to data security constraints. The paper suggests an algorithm for solving this optimization problem. The algorithm is based on the universal generating function technique and on the evolutionary optimization approach.
Grid system service time service reliability data security subtask distribution optimization
GREGORY LEVITIN HANOCH BEN HAIM
The Israel electric corporation, P. O. Box 10, Haifa 31000, Israel Collaborative Autonomic Computing The Israel electric corporation, P. O. Box 10, Haifa 31000, Israel
国际会议
北京
英文
715-720
2011-06-20（万方平台首次上网日期，不代表论文的发表时间）