Preference-based D2D offloading in IoT-edge-cloud continuum

IF 3.5 2区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Haripriya Chaturvedi, Gaurav Baranwal
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引用次数: 0

Abstract

Computation tasks are offloaded to the edge server from the Internet of Things (IoT) and mobile devices due to their restricted computation capacity and battery life. However, the fixed capacity of edge servers makes serving multiple IoT and mobile devices challenging for edge servers. The collaborative architecture, i.e. Device-to-Device (D2D)-edge computing, plays a great role in solving this resource gap problem between the IoT and mobile devices and edge servers. The architecture allows the offloading from IoT and mobile devices with restricted resources to IoT and mobile devices with resource-rich resources instead of only edge servers. This collaborative architecture also provides solutions to other edge server-related problems like workload, congestion, bandwidth consumption, and energy consumption along with the utilization of idle resources of nearby IoT and mobile devices. This paper proposes a preference-based D2D offloading model in IoT-Edge-Cloud Continuum. The proposed business model introduces the concept of surcharges to increase the utilization of computing resources. Compared to state-of-the-art work, the model generates more social welfare, increases the number of allocations, and increases participants' utility. With the help of simulation work, we have shown that the work is effective and outperforms.
物联网边缘云连续体中基于偏好的D2D卸载
由于物联网(IoT)和移动设备的计算能力和电池寿命有限,计算任务被转移到边缘服务器。然而,边缘服务器的固定容量使得为多个物联网和移动设备提供服务对边缘服务器来说具有挑战性。协同架构,即设备到设备(Device-to-Device, D2D)边缘计算,在解决物联网与移动设备和边缘服务器之间的资源缺口问题方面发挥了重要作用。该架构允许从资源有限的物联网和移动设备卸载到资源丰富的物联网和移动设备,而不仅仅是边缘服务器。这种协作架构还为其他与边缘服务器相关的问题提供解决方案,如工作负载、拥塞、带宽消耗和能耗,以及附近物联网和移动设备的空闲资源的利用。本文提出了一种基于偏好的物联网边缘云连续体D2D卸载模型。提出的商业模式引入了附加费的概念,以提高计算资源的利用率。与最先进的工作相比,该模型产生了更多的社会福利,增加了分配的数量,并增加了参与者的效用。通过仿真工作,证明了该方法的有效性和优越性。
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来源期刊
Simulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 工程技术-计算机:跨学科应用
CiteScore
9.80
自引率
4.80%
发文量
142
审稿时长
21 days
期刊介绍: The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.
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