LP based Adaptive Resource Management Framework in Cloud Environment
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2014, Vol 17, Issue 1
Abstract
Computing may be based on cloud environment in 21st century. So cloud of the resources will become most important entity in next generation of computing environment. Therefore researchers’ interest is going towards resource management in the cloud environment. However, much research has been done in this line but there is more scope of research in managing scalable resource requests by the end users under the constraint of budget. In this paper, we present an analytical model for a priority based dynamic resource management framework in cloud environment and a multi-index transportation problem cloud resource scheduler (MTPCRS) mechanism with mathematical formulation and an algorithm named Multi-Indexed Cloud Resource Scheduling Algorithm (MICRSA) with state transitions, deterministic finite automation and we present different test cases to evaluate and validate the results for calculating the total cost of processing requests as well as business process diagram and sequence diagram using unified modeling language (UML). A resiliency analysis is also presented to allocate the resources according to their priority and processing cost is also optimized. Finally, the proposed mechanism will be able to calculate the processing cost, time, profit of service providers as well as customers’ benefits and optimum use of cloud resources of various clusters. We use OMNET++ simulator to simulate the proposed mechanism.
Authors and Affiliations
Narander Kumar, Shalini Agrawal and Vipin Saxena
Keywords
Related Articles
- EP ID EP126084
- DOI -
- Views 95
- Downloads 0
Classifying Five Different Arrhythmias by Analyzing the ECG Signals
An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is an important diagnostic tool for assessing heart functions. The early detection of arrhythmia is very...
Spectrum Sensing Using Bayesian Method for Maximum Spectrum Utilization in Cognitive Radio
With increase demand for spectrum, it is necessary to detect the spectral holes in the static frequency assignment. Using cognitive radio the spectrum can be sensed to increase the efficient usage of spectrum by secondar...
Credit from Traders and Processors and the Performance of Smallholder Horticultural Agripreneurs in Kenya
The increased need for appropriate credit in the agricultural industry has forced agripreneurs to continuously explore ways to obtain credit with favorable terms and conditions to develop and grow their agribusinesses. L...
Agent-Based Software Engineering
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (and, more generally, Computer Science. It has the potential to significantly improve the theory and the practice of modeling, d...
OFDM-PAPR Reduction using Statistical Clipping and Window based Noise Filtering
This paper presents an alternate approach for the iterative clipping and filtering (ICF) method used for the peak-to-average-power-ratio (PAPR) reduction in OFDM systems. As the resultant in-band noise due to clipping af...