Power‐aware provisioning of virtual machines for real‐time Cloud services

Abstract

SUMMARYReducing power consumption has been an essential requirement for Cloud resource providers not only to decrease operating costs, but also to improve the system reliability. As Cloud computing becomes emergent for the Anything as a Service (XaaS) paradigm, modern real-time services also become available through Cloud computing. In this work, we investigate power-aware provisioning of virtual machines for real-time services. Our approach is (i) to model a real-time service as a real-time virtual machine request; and (ii) to provision virtual machines in Cloud data centers using Dynamic Voltage Frequency Scaling (DVFS) schemes. We propose several schemes to reduce power consumption by hard real-time services and power-aware profitable provisioning of soft real-time services.

Power management in virtualized data centers: state of the art

“…The authors in [39] investigated the VM provisioning as an essential technique in cloud computing. VM provisioning refers to providing VMs upon users' requests.…”

Reducing Energy Consumption with Dvfs for Real-Time Services in Cloud Computing

“…In the system, C is the capacitive load of the system, only in lowering the frequency and also reducing the voltage, the power consumption can be saved effectively. As implemented CloudSim [15] MIPS and frequency are directly related together. They presented three schemes result in reduce energy consumption, Lowest DVFS, Advanced DVFS and Adaptive DVFS, to allocate appropriate MIPS rate to real-time service [16].…”

“…These features motivate service providers to increase their resources in datacenter [7] to support user demand that is enlarging significantly such as processor unit, storages and etc. Consequently, electrical power is consumed increasingly and becomes a major concern [8].With more and more suppliers began offering cloud computing services, these services are convenient to users but consuming a lot of energy. Thus, how to save the energy of the data center without affecting both the economic efficiency and system performance is an important issue.…”

Evolutionary multiobjective optimization for green clouds

“…CPU voltage/frequency scaling is another power saving strategy [10]. It intends to dynamically reduce the power consumption of each server's CPU via adaptive voltage/frequency adjustment.…”