V. Venkatesa Kumar, R. Revathi, M. Newlin Rajkumar, Anna University Regional Centre Coimbatore, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.08.01
International Journal of Advanced Information and Communication Technology
Received On : March 13, 2017
Revised On : April 12, 2017
Accepted On : May 15, 2017
Published On : June 05, 2017
Volume 04, Issue 06
Pages : 667-670
Abstract
Orthogonal frequency division multiplexing (OFDM) is a popular method for wireless transmission of data at high rate. To increase the speed of transmission, the input high rate data stream is divided into many small data streams which are then transmitted parallel in OFDM system. The key component of OFDM system is the FFT processor. FFT converts the input time domain signal into frequency domain at the receiver side. Efficient implementation of FFT processor with small area, low power and high speed is very important. This can be achieved with the help of various algorithms viz. radix-2, radix-4, radix-8. FFT processor with higher mixed radix (radix-8 and radix-2) algorithm is going to propose. As higher mixed radix algorithm reduces power and increases speed. This paper gives an overview of the work done on FFT processor previously.
Keywords
Min-Min, Max-Min, Honeybee, Load balaning.
Cite this article
V. Venkatesa Kumar, R. Revathi, M. Newlin Rajkumar, “An Assessment on Various Load Balancing Techniques in Cloud Computing” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.667-670, June 05, 2017.
Copyright
© 2017 V. Venkatesa Kumar, R. Revathi, M. Newlin Rajkumar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.