Oimpacts of Multi-Class Oversubscription on Revenues and Performance in the Cloud

Abstract

Rising trends in the number of customers turning to the cloud for their computing needs has made effective resource allocation imperative for cloud service providers. In order to maximize profits and reduce waste, providers have started to explore the role of oversubscribing cloud resources. However, the benefits of oversubscription in the cloud are not without inherent risks. This work attempts to unveil the different incentives, risks, and techniques behind oversubscription in a cloud infrastructure. The discrete event simulator CloudSim is used to compare the generated revenue and performance of oversubscribed and non-oversubscribed datacenters. The idea of multi-class service levels used in other overbooked industries is implemented in simulations modeling a priority class of VMs that pay a higher price for better performance. Three simulations are implemented. The first two compare the results of different VM allocation policies without VM migration. The third implements VM migration in an oversubscribed, power-aware datacenter. Results show that oversubscription using multi-class service levels has the potential to increase datacenter revenue, but the benefit comes with the risk of degraded QoS, especially for non-priority customers.

Effect of Acceleration Coefficient on Particle Swarm optimization for Task Scheduling in Cloud Computing

“…In CloudSim scheduling perform at two levels. The first is implemented between Hosts and Virtual Machines (VM) and then implemented between Virtual Machines and cloudlets [21,22]. In Space-Shared editing object processing can be element can be allotted to a new virtual machine.…”

Comparative Analysis of VM Scheduling Algorithms in Cloud Environment

“…Time Shared Scheduling and Space Shared Scheduling [27] [28] . Cloudsim also supports another type of VM Scheduling known as Time Shared over Subscription VM Scheduling [29] and another type of Cloudlet Scheduling known as Dynamic Workload Cloudlet Scheduling.…”