The Experts below are selected from a list of 34872 Experts worldwide ranked by ideXlab platform
Qun Li - One of the best experts on this subject based on the ideXlab platform.
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A Survey of Virtual Machine Management in Edge Computing
Proceedings of the IEEE, 2019Co-Authors: Cheng Li, Shanhe Yi, Lele Ma, Qun LiAbstract:Many Edge Computing systems rely on virtual machines (VMs) to deliver their services. It is challenging, however, to deploy the virtualization mechanisms on Edge Computing hardware infrastructures. In this paper, we introduce the engineering and research trends of achieving efficient VM management in Edge Computing. We elaborate on: 1) the virtualization frameworks for Edge Computing developed in both the industry and the academia; 2) the virtualization techniques tailored for Edge Computing; 3) the placement and scheduling algorithms optimized for Edge Computing; and 4) the research problems in security related to virtualization of Edge Computing.
Ejaz Ahmed - One of the best experts on this subject based on the ideXlab platform.
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Edge Computing: A survey
Future Generation Computer Systems, 2019Co-Authors: Wazir Zada Khan, Saqib Hakak, Ibrar Yaqoob, Ejaz Ahmed, Arif AhmedAbstract:In recent years, the Edge Computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud Computing facilities and services to the end users. The Edge Computing paradigm provides low latency, mobility, and location awareness support to delay-sensitive applications. Significant research has been carried out in the area of Edge Computing, which is reviewed in terms of latest developments such as Mobile Edge Computing, Cloudlet, and Fog Computing, resulting in providing researchers with more insight into the existing solutions and future applications. This article is meant to serve as a comprehensive survey of recent advancements in Edge Computing highlighting the core applications. It also discusses the importance of Edge Computing in real life scenarios where response time constitutes the fundamental requirement for many applications. The article concludes with identifying the requirements and discuss open research challenges in Edge Computing.
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The Role of Edge Computing in Internet of Things
IEEE Communications Magazine, 2018Co-Authors: Najmul Hassan, Saira Gillani, Ibrar Yaqoob, Ejaz Ahmed, Muhammad ImranAbstract:Remarkable advancements in embedded systems- on-a-chip have significantly increased the number of commercial devices that possess sufficient resources to run full-flEdged operating systems. This change has extended the potential of the IoT. Many early IoT devices could only collect and send data for analysis. However, the increasing Computing capacity of today's devices allow them to perform complex computations on-site, resulting in Edge Computing. Edge Computing extends cloud Computing capabilities by bringing services close to the Edge of a network and thus supports a new variety of services and applications. In this work, we investigate, highlight, and report on recent advances in Edge Computing technologies with respect to measuring their impact on IoT. We establish a taxonomy of Edge Computing by classifying and categorizing existing literature, and by doing so, we reveal the salient and supportive features of different Edge Computing paradigms for IoT. Moreover, we present the key requirements for the successful deployment of Edge Computing in IoT and discuss a few indispensable scenarios of Edge Computing in IoT. Several open research challenges are also outlined.
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A survey on mobile Edge Computing
2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016Co-Authors: Arif Ahmed, Ejaz AhmedAbstract:Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of pack- ets), but in Mobile Edge Computing, cloud servers are also deployed in each base station. Therefore, network operator has a great responsibility in serving mobile subscribers. Mobile Edge Computing platform reduces network latency by enabling computation and storage capacity at the Edge network. It also enables application developers and content providers to serve context-aware services (such as collaborative Computing) by using real time radio access network information. Mobile and Internet of Things devices perform computation offloading for compute intensive applications, such as image processing, mobile gaming, to leverage the Mobile Edge Computing services. In this paper, some of the promising real time Mobile Edge Computing application scenarios are discussed. Later on, a state-of-the-art research efforts on Mobile Edge Computing domain is presented. The paper also presents taxonomy of Mobile Edge Computing, describing key attributes. Finally, open research challenges in successful deployment of Mobile Edge Computing are identified and discussed.
Arif Ahmed - One of the best experts on this subject based on the ideXlab platform.
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Edge Computing: A survey
Future Generation Computer Systems, 2019Co-Authors: Wazir Zada Khan, Saqib Hakak, Ibrar Yaqoob, Ejaz Ahmed, Arif AhmedAbstract:In recent years, the Edge Computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud Computing facilities and services to the end users. The Edge Computing paradigm provides low latency, mobility, and location awareness support to delay-sensitive applications. Significant research has been carried out in the area of Edge Computing, which is reviewed in terms of latest developments such as Mobile Edge Computing, Cloudlet, and Fog Computing, resulting in providing researchers with more insight into the existing solutions and future applications. This article is meant to serve as a comprehensive survey of recent advancements in Edge Computing highlighting the core applications. It also discusses the importance of Edge Computing in real life scenarios where response time constitutes the fundamental requirement for many applications. The article concludes with identifying the requirements and discuss open research challenges in Edge Computing.
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A survey on mobile Edge Computing
2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016Co-Authors: Arif Ahmed, Ejaz AhmedAbstract:Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of pack- ets), but in Mobile Edge Computing, cloud servers are also deployed in each base station. Therefore, network operator has a great responsibility in serving mobile subscribers. Mobile Edge Computing platform reduces network latency by enabling computation and storage capacity at the Edge network. It also enables application developers and content providers to serve context-aware services (such as collaborative Computing) by using real time radio access network information. Mobile and Internet of Things devices perform computation offloading for compute intensive applications, such as image processing, mobile gaming, to leverage the Mobile Edge Computing services. In this paper, some of the promising real time Mobile Edge Computing application scenarios are discussed. Later on, a state-of-the-art research efforts on Mobile Edge Computing domain is presented. The paper also presents taxonomy of Mobile Edge Computing, describing key attributes. Finally, open research challenges in successful deployment of Mobile Edge Computing are identified and discussed.
Ibrar Yaqoob - One of the best experts on this subject based on the ideXlab platform.
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Edge Computing Enabled Smart Cities: A Comprehensive Survey.
arXiv: Networking and Internet Architecture, 2019Co-Authors: Latif U. Khan, Syed Minhaj Saleem Kazmi, Ibrar Yaqoob, Nguyen H. Tran, Choong Seon HongAbstract:Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although Edge Computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of Edge Computing in realizing the vision of smart cities. First, we analyze the evolution of Edge Computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on Edge Computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of Edge Computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.
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Edge Computing: A survey
Future Generation Computer Systems, 2019Co-Authors: Wazir Zada Khan, Saqib Hakak, Ibrar Yaqoob, Ejaz Ahmed, Arif AhmedAbstract:In recent years, the Edge Computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud Computing facilities and services to the end users. The Edge Computing paradigm provides low latency, mobility, and location awareness support to delay-sensitive applications. Significant research has been carried out in the area of Edge Computing, which is reviewed in terms of latest developments such as Mobile Edge Computing, Cloudlet, and Fog Computing, resulting in providing researchers with more insight into the existing solutions and future applications. This article is meant to serve as a comprehensive survey of recent advancements in Edge Computing highlighting the core applications. It also discusses the importance of Edge Computing in real life scenarios where response time constitutes the fundamental requirement for many applications. The article concludes with identifying the requirements and discuss open research challenges in Edge Computing.
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The Role of Edge Computing in Internet of Things
IEEE Communications Magazine, 2018Co-Authors: Najmul Hassan, Saira Gillani, Ibrar Yaqoob, Ejaz Ahmed, Muhammad ImranAbstract:Remarkable advancements in embedded systems- on-a-chip have significantly increased the number of commercial devices that possess sufficient resources to run full-flEdged operating systems. This change has extended the potential of the IoT. Many early IoT devices could only collect and send data for analysis. However, the increasing Computing capacity of today's devices allow them to perform complex computations on-site, resulting in Edge Computing. Edge Computing extends cloud Computing capabilities by bringing services close to the Edge of a network and thus supports a new variety of services and applications. In this work, we investigate, highlight, and report on recent advances in Edge Computing technologies with respect to measuring their impact on IoT. We establish a taxonomy of Edge Computing by classifying and categorizing existing literature, and by doing so, we reveal the salient and supportive features of different Edge Computing paradigms for IoT. Moreover, we present the key requirements for the successful deployment of Edge Computing in IoT and discuss a few indispensable scenarios of Edge Computing in IoT. Several open research challenges are also outlined.
Qin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Edge Computing in IoT-Based Manufacturing
IEEE Communications Magazine, 2018Co-Authors: Baotong Chen, Jiafu Wan, Antonio Celesti, Haider Abbas, Di Li, Qin ZhangAbstract:Edge Computing extends the capabilities of computation, network connection, and storage from the cloud to the Edge of the network. It enables the application of business logic between the downstream data of the cloud service and the upstream data of the Internet of Things (IoT). In the field of Industrial IoT, Edge Computing provides added benefits of agility, real-time processing, and autonomy to create value for intelligent manufacturing. With the focus on the concept of Edge Computing, this article proposes an architecture of Edge Computing for IoT-based manufacturing. It also analyzes the role of Edge Computing from four aspects including Edge equipment, network communication, information fusion, and cooperative mechanism with cloud Computing. Finally, we give a case study to implement the active maintenance based on a prototype platform. This article aims to provide a technical reference for the deployment of Edge Computing in the smart factory.
