Dongyang Ou

TL;DR: This paper investigates the power and energy characteristics of mainstream hypervisors and container engine, i.e., VMware ESXi, Microsoft Hyper-V, KVM, XenServer and Docker, on five different platforms with hundreds of hours' power measures to provide useful insights to system designers, as well as data center operators for power-aware workload placement and virtual machine scheduling.

TL;DR: This paper investigates all 477 valid published results of SPECpower_ssj benchmark from 2007 to 2016Q3 and reorganizes them by hardware availability year for more accurate analysis on production servers, finding that specious stagnation of energy proportionality in recent years is mainly caused by the adoption of processors of specific microarchitecture.

TL;DR: The authorsﻷ propose to use useﻹ implicitﻴ formattingﻵ templatesﻅ and ﻷ implicitｿ formattingｽ semantics﻽ informationﻢ forﻩ automaticﻰ metadataﻱ identificationﻡ� and﻾ segmentation.

TL;DR: This paper analyzes the performance of memory-intensive, compute-intensive and I/O intensive workloads running in virtual machines with different sizes and proposes a performance prediction method for virtual machines based on the results of micro-benchmarks and the concept of virtual machine consistency.