In this paper we present an extension of the TCP stack that allows a sequence of TCP connections between the same machines to share the congestion window. Our Linux implementation of this scenario shows significant improvement in performance, particularly when the individual connections are short-lived. Such a behavior is common on the web, due to the nature of the HTTP protocol and the distrib...

The 95-percentile method is used widely for billing ISPs and websites. In this work, we characterize important aspects of the 95-percentile method using a large set of traffic traces. We first study how the 95-percentile depends on the aggregation window size. We observe that the computed value often follows a noisy decreasing trend along a convex curve as the window size increases. We provide ...

In this paper, we derive an expression for computing average window size of a single TCP CUBIC connection under random losses. Throughput expression for TCP CUBIC has been computed earlier under deterministic periodic packet losses. We validate this expression theoretically. We then use insights from the deterministic loss based model to derive an expression for computing average window size of...

Infrared ports are employed in a wide variety of devices ranging from personal computers and printers to mobile phones. Infrared connectivity complies to specifications defined by Infrared Data Association (IrDA). The performance of IrDA links may be measured at the IrLAP data link layer, which controls the IrDA hardware. A simple equation to calculate throughput from different link parameters ...

Myopic is a hard real-time process scheduling algorithm that selects a suitable process based on a heuristic function from a subset (Window) of all ready processes instead of choosing from all available processes, like original heuristic scheduling algorithm. Performance of the algorithm significantly depends on the chosen heuristic function that assigns weight to different parameters like dead...

An essential part of image analysis is the location and identiication of objects within the image. Noise and clutter make this identiication problematic, and the size of the image may present computational diiculties. To overcome these problems , a window onto the image is used to focus onto small areas. Conventionally, it is still necessary to know the size of the object to be searched for in ...

Corrupted digital images are recovered by using median filters. The most frequently occur noise is salt and pepper type impulse noise. As the noise increases it becomes hard to recover the noisy digital image. Different median filters have been suggested to recover it. Size of the window taken in the filter is also the important factor at different level of noises. The performance of standard m...

The TCP window size process can be modeled as a piecewise-deterministic Markov process that increases linearly and experiences downward jumps at Poisson times. We present a transient analysis of this window size process. Our main result is the Laplace transform of the transient moments. Formulae for the integer and fractional moments are derived, as well as an explicit characterization of the s...

The structure of the mesoporous silica SBA-16 has been interrogated by careful elimination of the organic templating agent using ozone treatment. It is shown that the as-synthesised material consists of large cages connected by very narrow, ca. 7 Å, windows. These windows open up to about 20 Å following a calcination treatment that suggests that the functionality of SBA-16 could be changed mark...

We propose a new method of kernel density estimation with a varying adaptive window width. This method is different from traditional ones in two aspects. First, we use symmetric as well as nonsymmetric left and right kernels with discontinuities and show that the fusion of these estimates results in accuracy improvement. Second, we develop estimates with adaptive varying window widths based on ...