Dr. Sheng Di is an assistant computer scientist at Argonne National Laboratory and a senior member of IEEE. He received his master degree from Huazhong University of Science and Technology in 2007 and Ph.D degree from The University of Hong Kong in 2012. With 10+ years solid experience in developing distributed computing projects (including Cloud, HPC/Grid, P2P) via C, Java, Fortran, and Bash shell, his strengths include theoretical analysis, system design/development and performance optimization. He has a broad research interest, including data compression, data analysis, fault tolerance, resource discovery in HPC, Grid computing, P2P and Cloud computing, analysis and prediction of Google workload based on Google trace, optimization of resource allocation, virtual machine migration over WAN, case-based reasoning via Mapreduce, etc. He published 60+ refereed journal and conference papers (including TPDS, TC, TCC, TKDE, JPDC, SC’XY, IPDPS, HPDC, ICPP, CLUSTER, IWQoS, CCGrid, HiPC, Grid, CLOUD, UCC, EuroPar, ICPADS, and so on) and serve as program committee members 10+ times.