ENHANCED DYNAMIC RESOURCE ALLOCATION SCHEME BASED ON PACKAGE LEVEL ACCESS IN CLOUD COMPUTING
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2017, Vol 16, Issue 5
Abstract
Cloud computing is distributed computing, storing, sharing and accessing data over the Internet. It provides a pool of shared resources to the users available on the basis of pay as you go service that means users pay only for those services which are used by him according to their access times. This research work deals with the balancing of work load in cloud environment. Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. We propose an improved load balancing algorithm for job scheduling in the cloud environment using load distribution table in which the current status, current package, VM Capacity and the number of cloudlets submitted to each and every virtual machine will be stored. Submit the job of the user to the datacenter broker. Data center broker will first find the suitable Vm according to the requirements of the cloudlet and will match and find the most suitable Vm according to its availability or the machine with least load in the distribution table. Multiple number of experiments have been conducted by taking different configurations of cloudlets and virtual machine. Various parameters like waiting time, execution time, turnaround time and the usage cost have been computed inside the cloudsim environment to demonstrate the results. The main contributions of the research work is to balance the entire system load while trying to minimize the make span of a given set of jobs. Compared with the other job scheduling algorithms, the improved load balancing algorithm can outperform them according to the experimental results.
Authors and Affiliations
Manpreet Kaur, Dr. Rajinder Singh
Keywords
Related Articles
- EP ID EP650937
- DOI 10.24297/ijct.v16i5.6235
- Views 80
- Downloads 0
DEVELOPMENT OF NOVEL ALGORITHMS AND ARCHITECTURE FOR A ROBOT BASED AGRICULTURAL IMPLEMENT
This paper presents novel algorithms and architecture for a Robot based agricultural implement. The application is for tilling the agricultural field. The hardware consists of a platform with four wheels and a mechanism...
Web Content Processing Method for Electronic Business Systems
The given article is devoted to the development of standardized methods and software Web content processing in e-business systems. The model of electronic content commerce systems is developed. The models of commercial W...
Analysis and Detection of Bot performing Keylogging Activities.
The focus on computer security has increased due to the ubiquitous use of Internet. Botnets are one of the biggest cyber threats. Botnet is a malware controlled by a Botmaster using Command and Control (C&C). Botnet...
A Different Learning Way For Pupils With Specific Learning Disabilities
Several factors may contribute to a child's failure to learn, some possible causes of school failure are specific learning disabilities. Dyslexia is one of the most common learning disabilities; dyslexia is to fail to le...
Biometric application and classification of individuals using postural parameters
This Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. The displacement of the centre of pressure (COP) is a measure that has been successfully empl...