VARIABLE LENGTH DECODER FOR STATIC HUFFMAN CODE
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): T.G.PANSE
Abstract: The proposed work is aimed at designing Variable-Length Decoder for Huffman code. Using the decoder we can obtain the original data from the compressed data .The system is designed using VHDL and the source code can be targeted to any FPGA for several applications. sound, voice, image compressions are frequently used in a real time application such as the broadcasting, the Variable-Length Decoder can be designed for a real time application. Emphasis has been given to design a simple working solution with minimum possible circuitry.
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
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- Downloads: 0
AN ELEGANT LOAD BALANCING SCHEME IN GRID COMPUTING USING GRID GAIN
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): AJAY NAYAK , BUDDHADEB PRADHAN , DIPTENDU SINHA ROY
Abstract: Grid Computing is a form of distributed Computing that has emerged as a viable solution to meet the ever increasing needs for computational power and data management capability. Designing solutions in such grid computing framework entails addressing much more complicated issues compared to chore software development, namely concurrency, heterogeneity, scalability and so forth; just to name a few. In order to simplify the task of programming in grid environment a software layer is employed to mask off the massive underlying heterogeneity in network, hardware, operating system and programming languages, known a middleware. Moreover, load scenario in a grid is dynamic and thus incorporating appropriate load balancing mechanism becomes a challenging proposition. This paper addresses two major issues in context of load balancing in compute grids: namely, average CPU load and heap memory in a grid scenario. For experimentation purposes, Grid Gain has been incorporated as middleware.
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0