QoS and performance optimization with VM provisioning approach in Cloud computing environment

Cloud computing has emerged as a new paradigm for accessing distributed computing resources such as infrastructure, hardware platform, and software applications on-demand over the internet as services. This paper presents an optimal resource management framework for multi-cloud computing environment. The authors model the behavior and performance of applications to integrate different service-providers for end-to-end-requirements. Each service model caters to specific type of requirements and there are already number of players with own customized products/services offered. Intercloud Federation and Service delegation models are part of Multi-Cloud environment where the broader target is to achieve infinite pool of resources. They propose an analytical queueing network model to improve the efficiency of the system. Numerical results indicate that the proposed provisioning technique detects changes in arrival pattern, resource demands that occur over time and allocates multiple virtualized IT resources accordingly to achieve application Quality of Service targets.

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Distributed processing in virtual simulation using Cloud Computing Environment

MATEC Web of Conferences ◽

10.1051/matecconf/201821004018 ◽

2018 ◽

Vol 210 ◽

pp. 04018

Author(s):

Jarosław Koszela ◽

Maciej Szymczyk

Keyword(s):

Cloud Computing ◽

Distributed Processing ◽

Simulation Models ◽

Virtual Simulation ◽

Performance Tests ◽

Computing Environment ◽

Computing Power ◽

Cloud Computing Environment ◽

Detailed Simulation ◽

And Performance

Today’s hardware has computing power allowing to conduct virtual simulation. However, even the most powerful machine may not be sufficient in case of using models characterized by high precision and resolution. Switching into constructive simulation causes the loss of details in the simulation. Nonetheless, it is possible to use the distributed virtual simulation in the cloud-computing environment. The aim of this paper is to propose a model that enables the scaling of the virtual simulation. The aspects on which the ability to disperse calculations depends were presented. A commercial SpatialOS solution was presented and performance tests were carried out. The use of distributed virtual simulation allows the use of more extensive and detailed simulation models using thin clients. In addition, the presented model of the simulation cloud can be the basis of the “Simulation-as-a-Service” cloud computing product.

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Modeling and Performance Analysis to Predict the Behavior of a Divisible Load Application in a Cloud Computing Environment

Algorithms ◽

10.3390/a5020289 ◽

2012 ◽

Vol 5 (2) ◽

pp. 289-303 ◽

Cited By ~ 1

Author(s):

Leila Ismail ◽

Liren Zhang

Keyword(s):

Cloud Computing ◽

Performance Analysis ◽

Load Application ◽

Computing Environment ◽

Cloud Computing Environment ◽

Divisible Load ◽

And Performance

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An Optimal Resource Allocation Algorithm in Cloud Computing Environment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.733.779 ◽

2015 ◽

Vol 733 ◽

pp. 779-783 ◽

Cited By ~ 1

Author(s):

Lu Dai ◽

Jian Hua Li

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Energy Optimization ◽

Scientific Basis ◽

Computing Environment ◽

Cloud Computing Environment ◽

Resource Allocation Algorithm ◽

Allocation Algorithm ◽

Optimal Resource ◽

And Performance

Resource allocation is a key technology of cloud computing. At present, the most of studies on resource allocation mainly focus on improving the overall performance by balancing the load of data center. This paper will design the experimental platform of resource allocation algorithm, energy optimization and performance analysis, obtain original achievements in scientific research ,for the resource allocation method based on immune algorithm and energy optimization in cloud computing to provide innovative ideas and scientific basis. This research has important significance for further study on resource allocation and energy optimization in cloud computing environment.

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