Network bandwidth is a kind of limited and precious resources in modern distributed computing environments. Insufficient bandwidth will severely degrade the performance of a distributed computing task in exchanging massive data among the networked hosts. A feasible solution to save bandwidth is to incorporate data compression during transmission. However, blind, or unconditional, compression ma...

IP Header compression mechanisms have always been an important topic for the research community to save bandwidth in the Internet. Due to the high license fees of 3G bands and the upcoming integration of IP based multimedia services, it is of particular importance to reduce the IP header overhead even in the wireless format. Reducing the IP overhead gives the network providers the possibility f...

Large-scale distributed training requires significant communication bandwidth for gradient exchange that limits the scalability of multi-node training, and requires expensive high-bandwidth network infrastructure. The situation gets even worse with distributed training on mobile devices (federated learning), which suffers from higher latency, lower throughput, and intermittent poor connections....

Although compression has been widely used for decades to reduce file sizes (thereby conserving storage capacity and network bandwidth when transferring files), there has been limited use of hardware-based compression within modern memory hierarchies of commodity systems. Why not? Especially as programs become increasingly data-intensive, the capacity and bandwidth within the memory hierarchy (i...

Image compression plays a major role in saving bandwidth and memory space which is the need of hour. In industry various components are tested effectively using NDT (Non-Destructive Testing) and this information is stored in the system. To reduce the memory space required for storing, lossless compression is used. This paper focuses on the various scanning paths methods for lossless compression...

In this paper we present a new way of treating the problem of extending a narrow-band signal to a wide-band signal. For many cases of bandwidth extension, the high-band energy is overestimated, leading to undesirable audible artifacts. To overcome these problems we introduce an asymmetric cost-function in the estimation process of the high-band that penalizes over-estimates more than under-esti...

In today’s multimedia wireless communication, major issue is bandwidth needed to satisfy real time transmission of image data. Compression is one of the good solutions to address this issue. Transform based compression algorithms are widely used in the field of compression, because of their de-correlation and other properties, useful in compression. In this paper, comparative study of compressi...

Overview Overview motivation motivation related work related work introduce models introduce models – – an adaptive intra an adaptive intra-frame insertion algorithm frame insertion algorithm – – binominal bandwidth adaptation binominal bandwidth adaptation – – security security implementation implementation evaluation evaluation Motivation Motivation internet broadcasting techniques are wide s...

We present a general analysis for the criteria to stop and store light coherently. We show that a light pulse can be stopped in any physical system, provided that (i) the system bandwidth can be compressed to zero; (ii) the system has sufficient degrees of freedom to accommodate the pulse, and the bandwidth compression occurs while the pulse is in the system; and (iii) the bandwidth compression...