A Fine-Grained Performance Model of Cloud Computing Centers

Abstract

Cloud computing is a general term for system architectures that involves delivering hosted services over the Internet, made possible by significant innovations in virtualization and distributed computing, as well as improved access to high-speed Internet. A cloud service differs from traditional hosting in three principal aspects. First, it is provided on demand, typically by the minute or the hour; second, it is elastic since the user can have as much or as little of a service as they want at any given time; and third, the service is fully managed by the provider -user needs little more than computer and Internet access.Typically a contract is negotiated and agreed between a customer and a service provider; the service provider is required to execute service requests from a customer within negotiated quality of service (QoS) requirements for a given price.Due to dynamic nature of cloud environments, diversity of user's requests, resource virtualization, and time dependency of load, providing expected quality of service while avoiding over-provisioning is not a simple task. To this end, cloud provider must have efficient and accurate techniques for performance evaluation of cloud computing centers.The development of such techniques is the focus of this thesis. This thesis has two parts. In first part, Chapters 2, 3 and 4, monolithic performance models are developed for cloud computing performance analysis.

Queueing Model of Public Toilet and its Performance Analysis

“…Now it has been widely used in communication [4][5], transportation [6], inventory [7], task scheduling [8][9], resource allocation [10], cloud computing [11][12] and many other areas, highlighting its powerful vitality. This paper will establish the models of women's, men's, Tradition1, Tradition2 and unisex public toilet based on M/M/s queuing system.…”

Virtual Machine Replication on Achieving Energy-Efficiency in a Cloud

“…VMs are deployed on PMs that may host multiple VMs. The deployed VMs are provisioned with request specific CPU, RAM, and disk capacity [1][2][3][4]. In this paper, we assume that a single VM takes the responsibility of a single job.…”

“…In this paper, we assume that a single VM takes the responsibility of a single job. When a running job exits, the capacity used by that VM is released and becomes available for provisioning and executing the requested job [1,2].…”

“…Users submit their work requests to the cloud, to be processed and the results are delivered. Typically, the rapid growth in demand for computational power driven by modern service-oriented applications has led to the establishment of large-scale virtualized data centers [1][2][3][4]. However, data centers consume a huge amount of energy resulting in high operating costs and resulting contribution to greenhouse gas (GHG) emissions.…”

“…Specifically, our analysis is based on the VM provisioning model for the cloud [1,2], where a VM is deployed on a physical machine (PM) upon arrival of a user request, and each request (job) has work requirement which is represented by the computation time on a failure-free environment. The actual job completion time may become longer than the given work requirement because of occurrences of VM or PM failures and subsequent recovery process with or without replication.…”