Notice Board :

Call for Paper
Vol. 8 Issue 9

Submission Start Date:
Sep 01, 2021

Acceptence Notification Start:
Sep 10, 2021

Submission End:
Sep 15, 2021

Final MenuScript Due:
Sep 28, 2021

Publication Date:
Sep 30, 2021
                         Notice Board: Call for PaperVol. 8 Issue 9      Submission Start Date: Sep 01, 2021      Acceptence Notification Start: Sep 10, 2021      Submission End: Sep 15, 2021      Final MenuScript Due: Sep 28, 2021      Publication Date: Sep 30, 2021




Volume VII Issue VI

Author Name
Nitesh Kumar Soni, Dr. Yogdhar Pandey
Year Of Publication
2020
Volume and Issue
Volume 7 Issue 6
Abstract
Cloud Computing is the technique of dynamic virtual provisioning of computing resources like processing power, storage, networking and IT infrastructure through the Internet on pay per use basis from service providers. Customers can request for resources on the cloud from anywhere on the planet, by sending request through Internet to cloud service provider. Cloud Computing uses the concept of the virtual machines and store data on virtual machines, instead of physical machines. Load balancing is the major aspect of cloud computing atmosphere. It is a process of distributing the total load among the system to improve system performance while also condition arrived where several nodes are heavily loaded and other are idle. This paper will present several techniques of load balancing in different cloud environment, existing load balancing technique and also discuss various parameters like scalability, performance, resource utilization, fault tolerance, associative overhead.
PaperID
2020/IJTRM/6/2020/38109

Author Name
Vaishali Bhati, Prof. Saurabh Gaur
Year Of Publication
2020
Volume and Issue
Volume 7 Issue 6
Abstract
Cognitive Radio Networks are a promising technology likely to be deployed in the very near future as a viable solution to the spectrum shortage problems faced by traditional wireless systems. Technological breakthroughs in the field of Software Defined Radios enabled the development of flexible cognitive radio transceivers capable of dynamically changing their transmission parameters in order to efficiently exploit the available wireless resources. This increased capability of cognitive radios to self adapt based on interactions with the surrounding environment makes them the perfect candidates for opportunistic spectrum access in those bands that are assigned to primary users. While these primary users are allowed to access their licensed spectrum resources anytime and anywhere, within the contractual limits imposed by spectrum management authorities, cognitive radios have to scan and identify any unused spectrum in the licensed bands. Most importantly, in order not to interfere with
PaperID
2020/IJTRM/6/2020/38152