An Approach towards Development of a Migration enabled Improved Datacenter Broker Policy

Sourav Banerjee,Utpal Biswas,Ayan Kundu,Saptarshi Pal,Debashis Das

doi:10.11591/aptikom.j.csit.148

Sourav Banerjee, Utpal Biswas + Show 3 more

Open Access

https://doi.org/10.11591/aptikom.j.csit.148

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Abstract

Cloud computing has left its remarkable note on the computing world over the last few years. Through its effectiveness, litheness, scalability & availability cloud computing has changed the nature of computer system deployment. The Quality of Service (QoS)of a cloud service provider (CSP) is an important element of research interest which includes different critical issues such as proper load, minimization of waiting time, turnaround time, makespan and suppressing the wastage of bandwidth of the system. The Datacenter Broker (DCB) policy help assigning a cloudlet to a VM. In the present study, we proposed an algorithm, i.e., Migration enabled Cloudlet Allocation Policy (MCAP) for allocation of cloudlets to the VMs in a Datacenter by taking into account the load capacity of VMs and length of the cloudlets. The experimental results obtained using CloudSim toolkit under extensive loads that establish performance supremacy of MCAP algorithm over the existing algorithms.

Highlights

Distributed environments [1] have left its waves in the pooled platform to utility-based models.The cutting-edge technology used for this platform is cloud computing [2].It enables the delivery of computer resources through the network
Cloud computing [7] refers to applications and services that run on a distributed network using virtualized [8, 9] resources and accessed by common internet protocols and networking standards
Cloudlet C0 allocated to VM0, C1 allocated to VM1, C2allocated to VM2, C3 allocated to the VM0 and C4 a llocated to VM1

Summary

Introduction

Distributed environments [1] have left its waves in the pooled platform to utility-based models. Another parameter, known as cloudlet count (cld_count), will represent the number of cloudlets present in the LQ of a VM. Based on the RLC value of the VMs the cloudlets have been allocated and a mechanism of cloudlet migration for balancing loads [25] on each VM is deployed. If the capacity of VMmin exceeds LCmax (RLC of VMmin becomes negative) the cloudlet with minimum length (cldmin) is transferred from VMmin to VMmax This mapping happens logically in the DCB. 4.2.2.Cloudlet descriptor block This data structure contains cld_id, corresponding VM ID, cloudlet length as its attributes

Algorithm

Conclusion