Applications of Engineering Technology and Science (AETS)
The data sets with multiple autonomous resources are popular in now-a-days. The big data plays a vital role in all the science and engineering departments such as physical, biological and biomedical science. This paper is to reduce the storage space of the cloud when storing big data into the cloud server. In the authors' proposed concept they are going to use the Huffman coding is used to effectively store the big data in the cloud server. The Huffman encoding algorithm is an optimal compression algorithm.