ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management
22
TL;DR: The results show that the proposed MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone reduces the average service delay and outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.
read more
Abstract: Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inconvenient for mobile users because they are not suitable for applications that require a real-time service environment. To cope with these problems, a new computing concept called Multi-Access Edge Computing (MEC) has emerged. Instead of sending all requests to the central cloud to handle mobile users’ requests, the MEC brings computing power and storage resources to the edge of the mobile network. It enables the mobile user device to run the real-time applications that are sensitive to latency to meet the strict requirements. However, there is a lack of research on the efficient utilization of computing resources and mobility support when mobile users move in the MEC environment. In this paper, we propose the MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone so that mobile users can continue to receive content and use server resources efficiently even when they move. The results show that the proposed scheme reduce the average service delay compared to the existing MEC scheme. In addition, the proposed scheme outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Heuristic Edge Server Placement in Industrial Internet of Things and Cellular Networks
Shahrukh Khan Kasi,Mumraiz Khan Kasi,Kamran Ali,Mohsin Raza,Hifza Afzal,Aboubaker Lasebae,Bushra Naeem,Saiful Islam,Joel J. P. C. Rodrigues +8 more
TL;DR: The results show that the genetic algorithm can quickly search through the large solution space as compared to local search optimization algorithms to find an edge placement strategy that minimizes the cost function.
Multi-access Edge Computing fundamentals, services, enablers and challenges: A complete survey
TL;DR: A comprehensive survey of recent advances in MEC can be found in this paper , where the authors provide a description of the MEC concept, framework, and capabilities, as well as a set of MEC technology enablers including Software Defined Networking, Network Function Virtualization, Information-Centric Networks, Service Function Chaining, Cloud-Radio Access Networks, Fog Computing based Radio Access Networks and Network Slicing.
57
Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks
Lionel Nkenyereye,Lewis Nkenyereye,S. M. Riazul Islam,Chaker Abdelaziz Kerrache,Mohammad Abdullah-Al-Wadud,Atif Alamri +5 more
TL;DR: Simulation results depict that the data dissemination based-SDN supported by multi-access edge computing over SDMEV can improve the latency requirements for V2X services.
A Lightweight Secure Adaptive Approach for Internet-of-Medical-Things Healthcare Applications in Edge-Cloud-Based Networks
Abdullah Lakhan,Ali Hassan Sodhro,Arnab Majumdar,Pattaraporn Khuwuthyakorn,Orawit Thinnukool +4 more
TL;DR: A lightweight secure efficient offloading scheduling (LSEOS) metaheuristic model is developed that outperformed all available offloading and scheduling methods for process applications by 10% security ratio and by 29% regarding delays.
Mobile Personal Multi-Access Edge Computing Architecture Composed of Individual User Devices
TL;DR: The proposed scheme outperforms the existing MEC scheme because the existing mobile user devices are used as MECS, enabling low-latency service and continuous service delivery, even as the mobile user requests and task sizes increase.
17
References
Fog computing and its role in the internet of things
Flavio Bonomi,Rodolfo A. Milito,Jiang Zhu,Sateesh Addepalli +3 more
- 17 Aug 2012
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
5.3K
Networking named content
Van L. Jacobson,Diana K. Smetters,James D. Thornton,Michael F. Plass,Nicholas H. Briggs,R. Braynard +5 more
- 01 Dec 2009
TL;DR: Content-Centric Networking (CCN) is presented, which treats content as a primitive - decoupling location from identity, security and access, and retrieving content by name, using new approaches to routing named content.
Networking named content
Van L. Jacobson,Diana K. Smetters,James D. Thornton,Michael F. Plass,Nicholas H. Briggs,R. Braynard +5 more
TL;DR: Content-Centric Networking (CCN) is presented which uses content chunks as a primitive---decoupling location from identity, security and access, and retrieving chunks of content by name, and simultaneously achieves scalability, security, and performance.
3.9K
Mobile Edge Computing: A Survey
TL;DR: The definition of MEC, its advantages, architectures, and application areas are provided; where the security and privacy issues and related existing solutions are also discussed.