Design and Implementation of an Efficient Two-Level Scheduler for Cloud Computing Environment

Abstract

Cloud computing focuses on delivery of reliable, fault-tolerant and scalable infrastructure for hosting Internet based application services. Scheduling in cloud computing is responsible for selection of best suitable resources for task execution. Efficient task scheduling method can fulfill user's requirements, QoS, and improves the resource utilization; this increases the overall performance of the cloud computing environment. In two level scheduling first scheduler deals with virtual machine to host allocation and second scheduler deals with task to virtual machine.

Cloud Computing Online Scheduling

“…This makes the spectrum of options available to scientists wide enough to cover any specific need from their research. Another important feature is the ability to scale up and down the computing infrastructure according to the application requirements and the user's budgets [12].…”

“…user level scheduling deals with problems raised by service provision between providers and customers [13]. The system level scheduling handles resource management [2,12]. A novel approach of heuristic-based request scheduling at each server, in each of the geographically distributed datacenters, to globally minimize the penalty charged to the cloud computing system is proposed in [14].…”

Green Cloud Meta-Scheduling

“…In 2009, we proposed a meta-scheduler that offers two levels of scheduling [18], like the MACC, the first choice in the Datacenter and the second resource allocation Datacenter chosen. The meta-scheduler on two levels proposed in the cited work can work with multiple datacenters and allows policies to implement this level of scheduling.…”

“…The benchmark is in fact a simulation of the Green-MACC using the CloudSim [21,22] in version 3.0, which already has been used in several other papers in the area of cloud computing [1,10,18].…”

“…The meta-scheduler on two levels proposed in the cited work can work with multiple datacenters and allows policies to implement this level of scheduling. And as the MACC, also has concerns with the quality of service offered to the User, however the work presented is not cited any control module or allow users to have control over GreenMACC X X X X X X MACC [4] X X CAGCA [16] X X X X GreenCloud [6] X X GCA [12] X X X 2Levels [18] X X HICCAM [19] X X X UMATGC2 [20] X X X data consumption and carbon dioxide emissions. The meta-scheduler 2 levels also does not offer the possibility of choosing automaticar various scheduling policies for both levels.…”