Real-World Impact of Mobile Edge Computing (MEC)

Total Page:16

File Type:pdf, Size:1020Kb

Real-World Impact of Mobile Edge Computing (MEC) WHITE PAPER Real-World Impact of Mobile Edge Computing (MEC) The impact of Mobile Edge Computing that truly complemented the thrill of (MEC) on the mobile subscriber’s the live event. experience is so profound that MEC has EE’s second demonstration showed a become an integral part of 4G networks secure, high-performance technology around the world. To illustrate the for managing crowd safety and effect of MEC, this paper describes reporting incidents. It illustrated how the impact of MEC trials at two major mobile connectivity can be used to international events: The Mobile World maintain a high level of safety for Congress* held in Barcelona in February attendees. On-site security personnel 2016, and the worldwide acclaimed wore LTE-connected bodycams, motor racing event held at the Shanghai generating multiple video streams back International Circuit* in April 2016. to a central control room. Ultra-low- Delivering ultra-low-latency video latency enabled the control room staff at busy locations to provide immediate and complete situational awareness. The GSMA Innovation City at the Mobile World Congress provides hands-on Enabling a fully immersive experiences on how mobile products user experience are improving people’s lives. This year This year the worldwide acclaimed EE*, the UK’s largest Mobile Network motor racing event was held in Operator (MNO), demonstrated two Shanghai International Circuit. Most powerful ways that MEC can change the people would be thrilled to attend way people experience a major event. a motor racing event. Now imagine Both demonstrations evolved around while there you could also see on your the delivery of ultra-low-latency video personal device real-time videos of over the LTE network. events on and off the track. You could EE leveraged the Nokia* Edge Video see the expression of the driver as he Orchestration application running at takes a corner, or watch the leading the network edge to deliver the Mobile cars at different viewing angles, all World Live TV service simultaneously while interacting with the social media to multiple LTE-enabled smartphones and press at the event. These real-time and tablets.1 Latency of just a few capabilities can transform the event hundred milliseconds provided a real- from an enjoyable day at the races to a life experience to conference attendees fully immersive user experience. White Paper 2 Real-World Impact of Mobile Edge Computing (MEC) Figure 1. MEC trial network architecture Sports events represent one of the feeds on their mobile devices with close the service delivery in the hands of most challenging environments for an to zero latency. Using an ultra-dense the MNO. This is important for two MNO. They are characterized as having heterogeneous network (HetNet) of key reasons. Firstly, and of utmost a large number of people gathered in LTE/Wi-Fi capable small cells, China importance, is that it allows the MNO to a contained area, a high demand of Mobile met the demand for massive manage the user experience. Secondly, locally relevant content, significant connectivity, capacity, and low latency it enables the MNO to rapidly deploy video traffic where subscribers at this global high-traffic event. new applications and services for their download the same content, often in subscribers, supporting localization of MEC is integral to delivering the same location, and a demand for a content, features, and services. 4G services real-time viewing experience coupled MEC can be positioned as a 4G with a highly vocal intolerance for any MEC is a network architecture concept evolution technology that is enabling notable delay. that enables cloud computing new approaches to deliver subscriber capabilities and an IT service China Mobile* took on the challenge services over today’s LTE networks. environment at the edge of the cellular of providing attendees with the ability A key advantage of MEC is that it can network. MEC enables applications to watch multiple real-time high- be implemented transparently within and related processing tasks such as definition videos. To meet the technical the existing 3GPP 4G mobile network content caching and media processing challenges of delivering massive infrastructure. Going forward, MEC is to run closer to the mobile subscriber. amounts of data to spectators in expected to be an integral part of the real-time, China Mobile implemented MEC is transforming the way services 5G specifications. a large scale implementation of MEC are being delivered to mobile Nurit Sprecher, ETSI* MEC ISG coupled with Nokia’s Edge Video subscribers. Not only does it improve chairperson, stated, “Our progress to Orchestration (EVO) application. This the user experience by providing high date and the variety of proof-points solution allowed spectators to access availability of content with reduced is a testament to the reality of MEC. multiple real-time high-definition video latency, MEC also puts control of We see MEC as the enabler of ultra- White Paper 3 Real-World Impact of Mobile Edge Computing (MEC) low latency that will be integral to 5G, MEC is a foundational technology that but which is already available today seamlessly integrates applications using LTE and our MEC platform.2 MEC from Telecommunications Equipment delivers capabilities that have never Manufacturers (TEMs), service been seen before, such as the ability providers, and third party vendors into to process and analyse information at the fabric of connectivity networks. point-of-capture, at the very edge of The MEC platform from Nokia extends the network that increases awareness applications and services that would and accelerates reaction times.” normally reside within the Internet The technology behind these or the MNO’s data center, to the very MEC trials edge of the network, and in close proximity of the mobile subscriber. The technology behind EE’s inspiring An MNO’s dense network of base demonstrations at Mobile World stations is transformed into a Nokia Congress and China Mobile’s AirFrame cloud server. The Nokia successful field test at the Shanghai AirFrame* solution uses the Data Plane International Circuit was designed Development Kit (DPDK) combined with and developed by Nokia and run on Intel® Virtualization Technology the Intel® Xeon® processor. The MEC (Intel® VT). network architecture for this solution is illustrated in Figure 1. Intel and Nokia are leveraging MEC to enable MNO solutions that deliver ultra-low latency and high reliability for content delivery and cloud applications. To learn more about Intel® Network Builder partners for MEC solutions powered by Intel, visit https://networkbuilders.intel.com/solutionscatalog. Footnote: 1 Mobile World Live TV is a dedicated channel that broadcasts live from Mobile World Congress. https://www.mobileworldcongress.com/news/mobile-world-live-tv/ 2 Liquid Applications is a content delivery platform. http://company.nokia.com/en/news/press-releases/2014/09/04/nokia-networks-introduces-advanced-content-delivery-solutions- extends-liquid-applications-networksperform INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL’S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH MAY OCCUR. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined.” Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. Copies of documents which have an order number and are referenced in this document, or other Intel literature, may be obtained by calling 1-800-548-4725, or by visiting Intel’s Web site at www.intel.com. Copyright © 2016 Intel Corporation. Intel, the Intel logo and Xeon are trademarks of Intel Corporation or its subsidiaries in the United States and/or other countries. *Other names and brands may be claimed as the property of others. Printed in USA 0616/ST/ICMCSW/PDF Please Recycle 334608-001US.
Recommended publications
  • Mobile Edge Computing a Key Technology Towards 5G
    ETSI White Paper No. 11 Mobile Edge Computing A key technology towards 5G First edition – September 2015 ISBN No. 979-10-92620-08-5 Authors: Yun Chao Hu, Milan Patel, Dario Sabella, Nurit Sprecher and Valerie Young ETSI (European Telecommunications Standards Institute) 06921 Sophia Antipolis CEDEX, France Tel +33 4 92 94 42 00 [email protected] www.etsi.org About the authors Yun Chao Hu Contributor, Huawei, Vice Chair ETSI MEC ISG, Chair MEC IEG Working Group Milan Patel Contributor, Huawei Dario Sabella Contributor, Telecom Italia; Vice-Chair MEC IEG Working Group Nurit Sprecher Contributor, Nokia; Chair ETSI MEC ISG Valerie Young Contributor, Intel Mobile Edge Computing - a key technology towards 5G 2 Contents About the authors 2 Contents 3 Introduction 4 Market Drivers 5 Business Value 6 Mobile Edge Computing Service Scenarios 7 General 7 Augmented Reality 8 Intelligent Video Acceleration 9 Connected Cars 9 Internet of Things Gateway 11 Deployment Scenarios 11 ETSI Industry Specification Group on Mobile Edge Computing 12 Proofs of Concept 13 Conclusions 14 References 15 Mobile Edge Computing - a key technology towards 5G 3 Introduction Mobile Edge Computing (MEC) is a new technology which is currently being standardized in an ETSI Industry Specification Group (ISG) of the same name. Mobile Edge Computing provides an IT service environment and cloud-computing capabilities at the edge of the mobile network, within the Radio Access Network (RAN) and in close proximity to mobile subscribers. The aim is to reduce latency, ensure highly efficient network operation and service delivery, and offer an improved user experience. Mobile Edge Computing is a natural development in the evolution of mobile base stations and the convergence of IT and telecommunications networking.
    [Show full text]
  • Mobile Edge Computing: Architecture, Use-Cases, Applications Craig Pritchard, Yousef Beheshti, Mohammad Sepahi
    Mobile Edge Computing: Architecture, Use-cases, Applications Craig Pritchard, Yousef Beheshti, Mohammad Sepahi To cite this version: Craig Pritchard, Yousef Beheshti, Mohammad Sepahi. Mobile Edge Computing: Architecture, Use- cases, Applications. 2020. hal-02612631 HAL Id: hal-02612631 https://hal.archives-ouvertes.fr/hal-02612631 Preprint submitted on 19 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Mobile Edge Computing: Architecture, Use-cases, Applications Craig Pritchard, Yousef Beheshti, Mohammad Sepahi Abstract| By enormous growth in IoT and smart devices and the ad- vent of many new applications, Internet traffic volume has been grow- ing exponentially. Analyzing such flooding traffic requires enormous compute and bandwidth and raises privacy concerns. Edge platforms can become the tool to ease the burden by bringing resources to the proximity of data. Therefore, new architectures, which bring network functions and contents to the network edge, are proposed, i.e., mobile edge computing and caching. In this survey, we make an exhaustive review on the literature research efforts on mobile edge networks. We give an overview of mobile edge networks, including definition, archi- tecture, and application and use-cases . We then survey the issues related to computing, caching, and communication techniques at the network edge with the focus on applications and use cases of mobile edge networks.
    [Show full text]
  • 5G and Edge Computing
    Market Driven Strategic Advisory EMERGING AND DISRUPTIVE TECHNOLOGY ANALYSIS 5G and Edge Computing Impact on Business Models, Service Providers, Datacenters, Applications, Business Users and Consumers https://mindcommerce.com/ Copyright 2019 ©Mind Commerce +1 206-395-9205 Market Driven Strategic Advisory EMERGING AND DISRUPTIVE TECHNOLOGY ANALYSIS Highlights and Findings • 5G Influence on Bandwidth and Data Economics: 5G will “reinvent” connectivity as there will be a very credible alternative to cable and fiber for business customers. 5G will bring about fundamental structural economic changes, such as significantly lower broadband pricing as a whole, and also much greater flexibility for enterprise, industrial, and government market segments in terms of how they connect public to private networks. • 5G Needs Edge Computing: LTE is improved with edge computing, but 5G absolutely requires it. In fact, without mobile edge computing, 5G would need to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G. • Mobile Edge Computing a Must for Private Wireless Networks: Enterprise and industrial segments will continue to deploy private networks utilizing LTE and WiFi. Many of these networks will evolve to 5G and include edge computing to maximize overall throughput and minimize latency, which will be crucial for certain critical communications solutions such as industrial process automation. • Combined 5G and Edge Solutions: A variety of enhanced services and new apps will be enabled, many of which will be directly or indirectly involved with smart cities, intelligent buildings, and smart homes and workplaces. Key 5G and MEC supported applications for business will be IoT connectivity, SMB/corporate mobility, and fixed wireless.
    [Show full text]
  • Edge Computing for 5G Networks
    5G PPP Technology Board Edge Computing for 5G Networks 5GPPP Technology Board Working Group 5G-IA’s Trials Working Group Edge Computing for 5G Networks Version 1.0 Date: 29-01-2021 Version: 1.0 DOI 10.5281/zenodo.3698117 URL https://doi.org/10.5281/zenodo.3698117 Dissemination level: Public Page 1 / 96 5G PPP Technology Board Edge Computing for 5G Networks Table of Contents Executive Summary ........................................................................................................ 4 1. Introduction - Why Edge Computing is key for 5G and beyond............................ 6 1.1 What is Edge Computing ............................................................................... 6 1.2 Why is Edge Computing critical for 5G ....................................................... 7 1.3 Where is the Edge of the Network ................................................................ 9 1.4 How does the Edge look like? ...................................................................... 12 1.5 Introduction to the 5G Edge Cloud Ecosystem.......................................... 13 2. Key Technologies for 5G on Edge Computing ..................................................... 15 2.1 Resources Virtualization framework .......................................................... 15 2.1.1 Virtual Machines and Containerization ................................................................................... 15 2.1.2 Lightweight virtualization ......................................................................................................
    [Show full text]
  • The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem
    The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem Leonardo Goratti1, C.E. Costa1(&), Jordi Perez-Romero2, P.S. Khodashenas3, Alan Whitehead4, and Ioannis Chochliouros5 1 CREATE-NET, Via alla Cascata 56/D, Trento, Italy [email protected] 2 Universitat Politecnica de Catalunya (UPC), Barcelona, Spain 3 i2CAT, Barcelona, Spain 4 IP.Access, Cambourne, UK 5 Hellenic Telecommunications Organization (OTE), Marousi, Greece Abstract. Virtualisation is playing a fundamental role in the evolution of telecommunication services and infrastructures, bringing to rethink some of the traditional design paradigms of the mobile network and enabling those func- tionalities necessary for supporting new complex ecosystems where multiple actors can participate in a dynamic and secure environment. In Small Cell enabled Mobile Edge Computing deployments, the impact of virtualization technologies is significant in two main aspects: the design and deployment of the telecommuni- cation infrastructure, and the delivery of edge services. Besides, the adoption of virtualization technologies has implications also in the implementation of Self Organizing Network (SON) services and in the enforcement of Service Level Agreement (SLA) policies, both critical in the automation of the delivery of multi-tenant oriented services in such complex infrastructure. From the work performed by the H2020 SESAME project, the beneficial use of virtualization techniques emerges in adding network intelligence and services in the network edge. SESAME relays on virtualization for providing Small Cell as a Service (SCaaS) and per operator Edge Computing services, consolidating the emerging multi-tenancy driven design paradigms in communication infrastructures. Keywords: NFV Small Cell Virtualization 5G Á Á Á 1 Introduction Virtualization technologies decouple software from physical infrastructure, and create virtual resources dedicated to distinct services.
    [Show full text]
  • Mobile Edge Computing Versus Fog Computing in Internet of Vehicles
    Netware 2018 The Tenth International Conference on Advances In Future Internet AFIN 2018 Mobile Edge Computing versus Fog Computing in Internet of Vehicles Eugen Borcoci, Marius Vochin, Serban Obreja University POLITEHNICA of Bucharest [email protected] [email protected] [email protected] NETWARE 2018, September 16-20, Venice 1 Objectives • To identify general aspects related to • usage of the Edge computing technologies in the Internet of Vehicle (IoV) environment • Specific cases of technologies (which one to use in IoV?) • Multi-access (Mobile) Edge Computing • Fog Computing 222 NETWARE 2018, September 16-20, Venice Contents 1. Introduction 2. Edge computing architectures- examples 3. Relevant Internet of Vehicles architectures 4. MEC and Fog solutions integrated in IoV 5. MEC versus Fog in IoV 6. Conclusions 333 NETWARE 2018, September 16-20, Venice 1. Introduction . Vehicular networks evolve in Internet of Vehicles (IoV) - aiming to solve the current and novel challenging needs of transportation systems . Edge computing (EC) . move cloud computing capabilities close to the data sources/sinks . EC: distributed architectures, fast response, context awareness, minimization of the data transfer to the centralized data centers . EC- natural support for IoV . Multi-access (Mobile) Edge Computing (MEC), Fog Computing (FC), cloudlets, etc. – candidates to support IoV . These architectures and technologies have overlapping characteristics but also differences in approach . Today – open issues: . not yet a full convergence between EC technologies . which solution could be the best trade-off to be adopted in IoV context and for which use cases ? . This paper: . is not a complete survey . attempts a preliminary evaluation of some of the currently proposed MEC/Fog solutions for IoV 444 NETWARE 2018, September 16-20, Venice 1.
    [Show full text]
  • View on 5G Architecture
    5G PPP Architecture Working Group View on 5G Architecture Version 3.0, June 2019 Date: 2019-06-19 Version: 3.0 Dissemination level: Public Consultation Abstract The 5G Architecture Working Group as part of the 5G PPP Initiative is looking at capturing novel trends and key technological enablers for the realization of the 5G architecture. It also targets at presenting in a harmonized way the architectural concepts developed in various projects and initiatives (not limited to 5G PPP projects only) so as to provide a consolidated view on the technical directions for the architecture design in the 5G era. The first version of the white paper was released in July 2016, which captured novel trends and key technological enablers for the realization of the 5G architecture vision along with harmonized architectural concepts from 5G PPP Phase 1 projects and initiatives. Capitalizing on the architectural vision and framework set by the first version of the white paper, the Version 2.0 of the white paper was released in January 2018 and presented the latest findings and analyses of 5G PPP Phase I projects along with the concept evaluations. The work has continued with the 5G PPP Phase II and Phase III projects with special focus on understanding the requirements from vertical industries involved in the projects and then driving the required enhancements of the 5G Architecture able to meet their requirements. The results of the Working Group are now captured in this Version 3.0, which presents the consolidated European view on the architecture design. Dissemination level: Public Consultation Table of Contents 1 Introduction........................................................................................................................
    [Show full text]
  • Mobile Edge Computing Empowers Internet of Things
    IEICE TRANS. ??, VOL.Exx–??, NO.xx XXXX 200x 1 INVITED PAPER Mobile Edge Computing Empowers Internet of Things Nirwan ANSARIya) and Xiang SUNyb), SUMMARY In this paper, we propose a Mobile Edge Internet of Things lored for IoT devices is critical to empowering the current (MEIoT) architecture by leveraging the fiber-wireless access technology, IoT system. In addition, only providing interconnections to the cloudlet concept, and the software defined networking framework. The share raw data among IoT devices is not enough to gain the MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. insight behind the big IoT data; the insight is more valuable Specifically, the IoT devices (belonging to the same user) are associated to for the society as a whole. Thus, it is beneficial to provision a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy the IoT system with a comprehensive cognitive capability VM stores and analyzes the IoT data (generated by its IoT devices) in real- such that high-level knowledge can be extracted from the time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access big IoT raw data streams by applying various types of data control problem in the IoT system. In addition, we propose two dynamic mining and machine learning methods [3]. The data center proxy VM migration methods to minimize the end-to-end delay between infrastructure has been demonstrated to provision resources proxy VMs and their IoT devices and to minimize the total on-grid energy flexibly and efficiently [4]; meanwhile, various parallel com- consumption of the cloudlets, respectively.
    [Show full text]
  • Review and Analysis of Mobile Edge Computing and Fog from a Security and Resilience Perspective
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1 The Extended Cloud: Review and Analysis of Mobile Edge Computing and Fog from a Security and Resilience Perspective Syed Noorulhassan Shirazi, Antonios Gouglidis, Arsham Farshad and David Hutchison (Invited Paper) Abstract—Mobile Edge Computing (MEC) and Fog are emerging computing models that extend the cloud and its services to the edge of the network. The emergence of both MEC and fog introduce new requirements, which mean their supported deployment models must be investigated. In this paper, we point out the influence and strong impact of the extended cloud (i.e., the MEC and fog) on existing communication and networking service models of the cloud. Although the relation between them is fairly evident, there are important properties, notably those of security and resilience, that we study in relation to the newly posed requirements from the MEC and fog. Although security and resilience have been already investigated in the context of the cloud - to a certain extent - existing solutions may not be applicable in the context of the extended cloud. Our approach includes the examination of models and architectures that underpin the extended cloud, and we provide a contemporary discussion on the most evident characteristics associated with them. We examine the technologies that implement these models and architectures, and analyse them with respect to security and resilience requirements. Furthermore, approaches to security and resilience-related mechanisms are examined in the cloud (specifically, anomaly detection and policy based resilience management), and we argue that these can also be applied in order to improve security and achieve resilience in the extended cloud environment.
    [Show full text]
  • A Comprehensive Overview of TCP Congestion Control in 5G Networks: Research Challenges and Future Perspectives
    sensors Review A Comprehensive Overview of TCP Congestion Control in 5G Networks: Research Challenges and Future Perspectives Josip Lorincz 1,* , Zvonimir Klarin 2 and Julije Ožegovi´c 1 1 Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21 000 Split, Croatia; [email protected] 2 Polytechnic of Sibenik, Trg Andrije Hebranga 11, 22 000 Sibenik, Croatia; [email protected] * Correspondence: [email protected] Abstract: In today’s data networks, the main protocol used to ensure reliable communications is the transmission control protocol (TCP). The TCP performance is largely determined by the used congestion control (CC) algorithm. TCP CC algorithms have evolved over the past three decades and a large number of CC algorithm variations have been developed to accommodate various network environments. The fifth-generation (5G) mobile network presents a new challenge for the implemen- tation of the TCP CC mechanism, since networks will operate in environments with huge user device density and vast traffic flows. In contrast to the pre-5G networks that operate in the sub-6 GHz bands, the implementation of TCP CC algorithms in 5G mmWave communications will be further compro- mised with high variations in channel quality and susceptibility to blockages due to high penetration losses and atmospheric absorptions. These challenges will be particularly present in environments such as sensor networks and Internet of Things (IoT) applications. To alleviate these challenges, this paper provides an overview of the most popular single-flow and multy-flow TCP CC algorithms used in pre-5G networks. The related work on the previous examinations of TCP CC algorithm Citation: Lorincz, J.; Klarin, Z.; performance in 5G networks is further presented.
    [Show full text]
  • Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers
    future internet Review Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers Ahmed Al-Ansi 1, Abdullah M. Al-Ansi 2 , Ammar Muthanna 1,* , Ibrahim A. Elgendy 3,4,* and Andrey Koucheryavy 1 1 Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPBSUT), 193232 St. Petersburg, Russia; [email protected] (A.A.-A.); [email protected] (A.K.) 2 Faculty of Economic and Management, University of Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia; [email protected] 3 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China 4 Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin el Kom 32511, Egypt * Correspondence: [email protected] (A.M.); [email protected] (I.A.E.) Abstract: Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies net- works and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applica- tions, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture Citation: Al-Ansi, A.; Al-Ansi, A.M.; and energy sustainability. However, 5G technological improvements face many challenges such as Muthanna, A.; Elgendy, I.A.; traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is con- Koucheryavy, A.
    [Show full text]
  • 5G Americas ICN / MEC December 2016 1 TABLE of CONTENTS
    5G Americas ICN / MEC December 2016 1 TABLE OF CONTENTS 1.0 Introduction ............................................................................................................................................. 4 2.0 Mobile Edge Computing .......................................................................................................................... 6 2.1 Description of the Technology ............................................................................................................. 6 2.2 How Edge Computing addresses the problems .................................................................................. 7 2.3 Example Use cases ............................................................................................................................. 7 2.3.1 IoT ................................................................................................................................................. 7 2.3.2 Video Distribution/Content Cache ................................................................................................. 8 2.3.3 Generic Compute Resource ......................................................................................................... 8 2.3.4 Edge Analytics .............................................................................................................................. 8 2.3.5 Cell level performance optimization use case .............................................................................. 9 2.3.6 Latency-sensitive Applications ...................................................................................................
    [Show full text]