{"title":"Preference-based D2D offloading in IoT-edge-cloud continuum","authors":"Haripriya Chaturvedi, Gaurav Baranwal","doi":"10.1016/j.simpat.2025.103188","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103188"},"PeriodicalIF":3.5000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation Modelling Practice and Theory","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569190X25001236","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.