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Collaborative distributed communication in heterogeneous environments: A comprehensive survey

机译:异构环境中的协作分布式通信:全面调查

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This paper presents the different aspects with the help of which the collaborative distributed communication in heterogeneous devices can be achieved based on existing techniques and methods. This paper gives a brief summary and analysis of the challenges existing in implementing the collaborative distributed communication in heterogeneous devices and how these challenges can be overcome by using some of the previously proposed techniques. This paper also presents the various different architectures used for collaborative distributed communication which were recently implemented and used. This paper also illustrates the possible existing solutions to the problems in providing collaborative environment with the help of some recently proposed protocols which provide efficient collaborative systems. In this paper by illustrating the models of distributed systems and various protocols to implement solution can help in building a proper design of collaborative system using which we can solve the problem of collaboration amongst heterogeneous devices. We can select appropriate distributed system architecture and suitable heterogeneous protocol for building collaborative system as per requirements. Such systems can be very helpful in scenarios where the communication infrastructure fails owing to natural calamity or any other reason like wars. In collaborative heterogeneous networks each node can act as individual data processing units which can use each other's processing power in collaboration to achieve a desired compute intensive or common goal. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文介绍了可以基于现有技术和方法在异构设备中实现协作分布式通信的不同方面。本文对在异构设备中实现协作分布式通信中存在的挑战以及如何通过使用某些先前提出的技术来克服这些挑战进行了简要总结和分析。本文还介绍了最近实现和使用的用于协作分布式通信的各种不同体系结构。本文还通过一些最近提出的协议(提供有效的协作系统)说明了在提供协作环境时可能存在的解决问题的方法。在本文中,通过说明分布式系统的模型和各种实现解决方案的协议,可以帮助构建合适的协作系统设计,从而解决异构设备之间的协作问题。我们可以根据需要选择合适的分布式系统架构和合适的异构协议来构建协作系统。这样的系统在通信基础设施由于自然灾害或战争等其他原因而失败的情况下非常有用。在协作异构网络中,每个节点都可以充当单独的数据处理单元,这些数据处理单元可以协作使用彼此的处理能力来实现所需的计算密集型或通用目标。 (C)2015 Elsevier Ltd.保留所有权利。

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