Abstract
In heterogeneous distributed cloud systems, load balance, communication and synchronization overhead must be taken considered. A hierarchical distributed loop self-scheduling scheme is effective and efficient for scientific loop applications. In this paper, we propose a resilient hierarchical distributed loop self-scheduling algorithm suitable for heterogeneous cloud systems. This algorithm is intended to enable the algorithm to continue to work in the event that some virtual machines (VMs) are too slow or cease to respond. We tested our algorithm in a heterogeneous cloud system. The results show that our algorithm can achieve normal operation and good performance.
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