An Adaptive Programming Model for Fault-Tolerant Distributed Computing
Abstract: The capability of dynamically adapting to distinct runtime conditions is an important issue when designing distributed systems where negotiated quality of service (QOS) cannot always be delivered between processes. Providing fault tolerance for such dynamic environments is a challenging task. Considering such a context, this paper proposes an adaptive programming model for fault-tolerant distributed computing, which provides upper-layer applications with process s ....etc

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Distributed-Input-Distributed-Output (DIDO) Wireless Technology



Abstract

Distributed-Input-Distributed-Output (DIDO) wireless technology is a breakthrough approach that allows each wireless user to use the full data rate1 of shared spectrum simultaneously with all other users, by eliminating interference between users sharing the same spectrum. With conventional wireless technologies the data rate available per user drops as more users share the same spectrum to avoid interference, but with DIDO, the data ....etc

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The confluence of Web services,
Peer-to-Peer systems, and grid computing provides the foundation for
internet distributed computing- allowing applications to scale from
proximity ad hoc networks to planetary-scale distributed systems. This
concept will make internet as a application hosting platform. To make
the internet as a application hosting platform we have to provide
additional functional layer to the internet that can allocate and
manage the resources necessary for application execution. Given such a
hosting environment, software ....etc

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Distributed computing deals with hardware and software systems containing more than one processing element or storage element, concurrent processes, or multiple programs, running under a loosely or tightly controlled regime.

In distributed computing a program is split up into parts that run simultaneously on multiple computers communicating over a network. Distributed computing is a form of parallel computing, but parallel computing is most commonly used to describe program parts running simultaneously on multiple processors in the same comp ....etc

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ABSTRACT
This project is an implementation of coarse grain heterogeneous distributed computing system for solving computational“intensive jobs. Those things that can be broken down into very small chunks of work are called fine-grained and those that require larger chunks are called coarse-grained. The system is also intended to work in a heterogeneous network, consisting of wide range nodes running different operating systems, varying processor speeds, hardware architectures etc.
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Presented By
Shrilatha suvarna B.(4nm03mca75


INTRODUCTION
Computer architectures consisting of interconnected, multiple processors are basically of two types:

1). Tightly coupled system

2). Loosely coupled system

Tightly coupled systems
In these systems, there is a single system wide primary memory (address space) that is shared by all the processors . Usually tightly coupled systems are referred to as parallel processing systems.

Loosely coupled ....etc

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