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Green Symbiotic Cloud Communications: Virtualized Transport Layer and Cognitive Decision Function

机译:绿色共生云通信:虚拟化传输层和认知决策功能

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摘要

The evolution of the concept of cloud communications has posed a growing emphasis on virtual and abstract environments for the flow of information, structuring it in similitude to a natural cloud. The Green Symbiotic Cloud Communications (GSCC) paradigm created on this concept facilitates the use of multiple communication mediums concomitantly creating a first of its kind communication cloud. This paper specifically corroborates a virtualized transport layer and network ports and an abstracted Internet protocol scheme in defining the GSCC architecture. We further address the issue of formulating a cognitive decision function based on utility theory, which allows users with GSCC enabled devices to intelligently distribute its bandwidth requirement amongst the available communication mediums. Considering the multiple criteria associated with different networks we formulate an optimization problem to find the solution for this resource allocation problem for single user. We further address the multi-user scenario and formulate and solve the multi-objective optimization problem using goal attainment technique. Results in single and multiple user scenarios, demonstrate that by utilizing multiple mediums as per GSCC paradigm coupled with our proposed decision function improves the functionality of the communication cloud. The proposed architecture is dynamic and evolving, embedding greenness by efficiently utilizing the available resources as and when required. The multiple virtual links equate a linearly increasing relationship with the throughput achieved. Experimental results for both real time and static data through the proposed schematic are documented. The augmented paradigm enhances the quality of service, linearly increases throughput and increases the overall security in communications.
机译:云通信概念的发展已越来越强调信息流的虚拟和抽象环境,将其结构化为自然云。基于此概念创建的绿色共生云通信(GSCC)范式可促进多种通信介质的使用,并同时创建其首个通信云。本文在定义GSCC体系结构时特别证实了虚拟化的传输层和网络端口以及抽象的Internet协议方案。我们进一步解决了基于效用理论制定认知决策功能的问题,该功能使具有GSCC功能的设备的用户能够在可用的通信介质中智能地分配其带宽需求。考虑到与不同网络相关的多个标准,我们制定了一个优化问题,以找到针对单个用户的资源分配问题的解决方案。我们进一步针对多用户场景,使用目标达成技术制定并解决多目标优化问题。在单用户和多用户场景中的结果表明,按照GSCC范例利用多种媒体,再加上我们提出的决策功能,可以改善通信云的功能。所提出的体系结构是动态且不断发展的,通过在需要时有效利用可用资源来嵌入绿色。多个虚拟链接相当于与实现的吞吐量呈线性增加的关系。通过提出的原理图记录了实时和静态数据的实验结果。增强范例提高了服务质量,线性增加了吞吐量,并提高了通信的整体安全性。

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