An adaptive character wordlength algorithm for data compression

An adaptive character wordlength algorithm for data compression

This paper presents a new and efficient data compression algorithm, namely, the adaptive character wordlength (ACW) algorithm, which can be used as complementary algorithm to statistical compression techniques. In such techniques, the characters in the source file are converted to a binary code, where the most common characters in the file have the shortest binary codes, and the least common ha...

An Effective Method For Data Compression Based On Adaptive Character Wordlength

An Adaptive Algorithm for video compression

We investigate the increasing popularity of technologies such as Internet streaming video and video conferencing, video compression has became an essential component of broadcast and entertainment media. Here we make use of new motion estimation algorithm with a video coding standard MPEG-4, has achieved significant compression by utilizing several advanced techniques. Here we use three types o...

Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments

Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

An hybrid algorithm for data compression

We present an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillating events in the other direction. Seismic, hyper-spectral and fingerprints data have this mixed structure. The transform part of the compression process is an algorithm that combines wavelet and the local cosine transform (LCT) also called an hybrid transform. The ...