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Distributed computing is a field of computer science that studies distributed systems. A distributed system is a system whose components are located on different networked computers, which then communicate and coordinate their actions by passing messages to one another. The components interact with one another in order to achieve a common goal. Three significant characteristics of distributed systems are: concurrency of components, lack of a global clock, and independent failure of components. Examples of distributed systems vary from SOA-based systems to massively multiplayer online games to peer-to-peer applications. A computer program that runs within a distributed system is called a distributed program (and distributed programming is the process of writing such programs). There are many different types of implementations for the message passing mechanism, including pure HTTP, RPC-like connectors and message queues. Distributed computing also refers to the use of distributed systems to solve computational problems. In distributed computing, a problem is divided into many tasks, each of which is solved by one or more computers,which communicate with each other via message passing



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2018-2019 BCA Projects for 6th Sem

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MCA Projects

1.2DCrypt: Image Scaling and Cropping in Encrypted Domains

2. A Shoulder Surfing Resistant Graphical Authentication System
3. An Efficient Protocol with Bidirectional Verification for Storage Security in Cloud Computing

4. Conjunctive Keyword Search with Designated Tester and Timing Enabled Proxy Re-encryption

5. Dual-Server Public-Key Encryption with Keyword Search for Secure Cloud Storage

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BCA Projects

1. A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee

2. Aspect-level Influence Discovery from Graphs

3. Automatic Generation of Social Event Storyboard from Image Click-through Data

2018-2019 MCA Projects for Final Year<

The figure on the right illustrates the difference between distributed and parallel systems. Figure (a) is a schematic view of a typical distributed system; the system is represented as a network topology in which each node is a computer and each line connecting the nodes is a communication link. Figure (b) shows the same distributed system in more detail: each computer has its own local memory, and information can be exchanged only by passing messages from one node to another by using the available communication links. Figure (c) shows a parallel system in which each processor has a direct access to a shared memory. The situation is further complicated by the traditional uses of the terms parallel and distributed algorithm that do not quite match the above definitions of parallel and distributed systems (see below for more detailed discussion). Nevertheless, as a rule of thumb, high-performance parallel computation in a shared-memory multiprocessor uses parallel algorithms while the coordination of a large-scale distributed system uses distributed algorithms
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