My Account | Careers | Downloads | Blog

PROJECT TITLE :

A Stochastic Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems - 2014

ABSTRACT:

Cloud data center management is a key problem due to the numerous and heterogeneous strategies that can be applied, ranging from the VM placement to the federation with other clouds. Performance evaluation of Cloud Computing infrastructures is required to predict and quantify the cost-benefit of a strategy portfolio and the corresponding quality of service (QoS) experienced by users. Such analyses are not feasible by simulation or on-the-field experimentation, due to the great number of parameters that have to be investigated. In this paper, we present an analytical model, based on stochastic reward nets (SRNs), that is both scalable to model systems composed of thousands of resources and flexible to represent different policies and cloud-specific strategies. Several performance metrics are defined and evaluated to analyze the behavior of a cloud data center: utilization, availability, waiting time, and responsiveness. A resiliency analysis is also provided to take into account load bursts. Finally, a general approach is presented that, starting from the concept of system capacity, can help system managers to opportunely set the data center parameters under different working conditions.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Link Prediction Based on Stochastic Information Diffusion ABSTRACT: Link prediction (LP) in networks aims to determine future interactions among elements; it is an essential piece of machine learning software in
PROJECT TITLE : Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks ABSTRACT: The widespread adoption of applications that are based on the Internet
PROJECT TITLE : An Analysis of a Stochastic ON-OFF Queueing Mobility Model for Software-Defined Vehicle Networks ABSTRACT: Recently, we have been exposed to a number of newly developed software-defined paradigms of VANET in
PROJECT TITLE : A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs ABSTRACT: Finding the densest lasting -subgraphs in large dynamic graphs, which takes into consideration the time duration of the
PROJECT TITLE : BayesFlow Learning Complex Stochastic Models With Invertible Neural Networks ABSTRACT: Estimating the parameters of mathematical models is a problem that arises frequently in virtually all subfields of the scientific

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry