DYNAMIC LOAD-BALANCED MULTICAST BASED ON THE EUCALYPTUS OPEN-SOURCE CLOUDCOMPUTING SYSTEM
In clouds, many applications need to distribute large data sets from the cloud’s storage facility to all compute nodes as fast as possible, especially data-intensive parallel applications. Many multicast algorithms have been used for clusters and grid environments. In order to maximize available bandwidth and avoid bottleneck links, a common approach is to construct one or more spanning trees based on the network monitoring data and network topology. However, in clouds the available bandwidth changes dynamically, so delivering optimal performance becomes difficult. In this paper, we focus on Eucalyptus (an opensource cloud-computing platform) and propose a high performance multicast algorithms ‘steal-andp2p’ based on ‘non-steal’ and ‘steal’ algorithm mentioned in 1.We evaluate our algorithm on Eucalyptus, and show that the algorithm can achieve high throughput and perform much better having each node downloading all data directly from storage facility.
Cloud Computing Multicast Algorithm Eucalyptus Work Stealing
Yuqi Zhang Jun Wu Yan Ma Xiaohong Huang Mingkun Xu
Institute of Network Technology,Beijing University of Posts and Telecommunications, Beijing 100876, China
国际会议
深圳
英文
456-460
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）