Journal Of Parallel And Distributed Computing Pdf
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- Review on Parallel and Distributed Computing
- Journal of Parallel and Distributed Computing — Template for authors
- Makara Journal of Technology
- Journal of Parallel and Distributed Computing
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Review on Parallel and Distributed Computing
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 communicate and coordinate their actions by passing messages to one another from any system. Three significant characteristics of distributed systems are: concurrency of components, lack of a global clock , and independent failure of components. A computer program that runs within a distributed system is called a distributed program and distributed programming is the process of writing such programs. 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.
Journal of Parallel and Distributed Computing — Template for authors
Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Researchers interested in submitting a special issue proposal should adhere to the submission guidelines. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.
Users of parallel machines need to have a good grasp for how different communication patterns and styles affect the performance of message-passing applications. LogGP is a simple performance model that reflects the most important parameters required to estimate the communication performance of parallel computers. The message passing interface MPI standard provides new opportunities for developing high performance parallel and distributed applications. In many real applications, for example, those with frequent and irregular communication patterns or those using large messages, network contention and contention for message processing resources can be a significant part of the total execution time. This paper presents a new cost model, called LoGPC, that extends the LogP  and LogGP  models to account for the impact of network contention and network interface DMA behavior on the performance of message passing programs.
Makara Journal of Technology
In cloud computing, the most successful application framework is parallel-distributed processing, in which an enormous task is split into a number of subtasks and those are processed independently on a cluster of machines referred to as workers. Due to its huge system scale, worker failures occur frequently in cloud environment and failed subtasks cause a large processing delay of the task. One of schemes to alleviate the impact of failures is checkpointing method, with which the progress of a subtask is recorded as checkpoint and the failed subtask is resumed by other worker from the latest checkpoint. This method can reduce the processing delay of the task. However, frequent checkpointing is system overhead and hence the checkpoint interval must be set properly.
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Journal of Parallel and Distributed Computing
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