Song Wu

TL;DR: This paper presents an unifying framework for the power-performance tradeoff of MSP by jointly scheduling network resources in C-RAN and computation resources in MEC to maximize the profit of M SP and designs a new optimization framework using an extended Lyapunov technique.

TL;DR: A novel disk failure prediction model using Online Random Forests (ORFs) that can automatically evolve with sequential arrival of data on-the-fly and thus is highly adaptive to the variance of SMART distribution over time, which has favourable advantage against the offline counterparts in terms of superior prediction performance.

TL;DR: An optimization scheme is designed, under which according to pre-copy speed, the VCPU working frequency may be reduced so that at a certain phase of the pre- copy the remaining dirty memory can reach a desired small amount.

TL;DR: An optimized fine-grained and fair pricing scheme is investigated that can derive an optimal price in the acceptable price range that satisfies both customers and providers simultaneously, and also finds a best-fit billing cycle to maximize social welfare.