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  • Articles  (1,177)
  • Institute of Electrical and Electronics Engineers (IEEE)  (1,177)
  • American Geophysical Union
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  • 2015-2019  (1,177)
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  • 2017  (1,177)
  • IEEE Communications Magazine  (593)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  (584)
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  • 1
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    IEEE Collabratec (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Advertisement, IEEE.
    Print ISSN: 0163-6804
    Electronic ISSN: 1558-1896
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 2
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    Global Communications Newsletter (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Presents key events and topics in the global communications industry.
    Print ISSN: 0163-6804
    Electronic ISSN: 1558-1896
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 3
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    A Hierarchical Game Framework for Resource Management in Fog Computing (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Supporting real-time and mobile data services, fog computing has been considered as a promising technology to overcome long and unpredicted delay in cloud computing. However, as resources in FNs are owned by independent users or infrastructure providers, the ADSSs cannot connect and access data services from the FNs directly, but can only request data service from the DSOs in the cloud. Accordingly, in fog computing, the DSOs are required to communicate with FNs and allocate resources from the FNs to the ADSSs. The DSOs provide virtualized data services to the ADSSs, and the FNs, motivated by the DSOs, provide data services in the physical network. Nevertheless, with fog computing added as the intermediate layer between the cloud and users, there are challenges such as the resource allocation in the virtualized network between the DSOs and ADSSs, the asymmetric information problem between DSOs and ADSSs, and the resource matching from the FNs to the ADSSs in the physical network. In this article, we propose a three-layer hierarchical game framework to solve the challenges in fog computing networks. In the proposed framework, we apply the Stackelberg sub-game for the interaction between DSOs and ADSSs, moral hazard modeling for the interaction between DSOs and FNs, and the student project allocation matching sub-game for the interaction between FNs and ADSSs. The purpose is to obtain stable and optimal utilities for each DSO, FN, and ADSS in a distributed fashion.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 4
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    Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Fog computing is an architecture that extends the traditionally centralized functions of cloud computing to the edge and into close proximity to the things in an Internet of Things network. Fog computing brings many advantages, including enhanced performance, better efficiency, network bandwidth savings, improved security, and resiliency. This article discusses some of the more important architectural requirements for critical Internet of Things networks in the context of exemplary use cases, and how fog computing techniques can help fulfill them.
    Print ISSN: 0163-6804
    Electronic ISSN: 1558-1896
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 5
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    IEEE Access (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Advertisement, IEEE.
    Print ISSN: 0163-6804
    Electronic ISSN: 1558-1896
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 6
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    The Algorithmic Aspects of Network Slicing (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: Network slicing is a technique for flexible resource provisioning in future wireless networks. With the powerful SDN and NFV technologies available, network slices can be quickly deployed and centrally managed, leading to simplified management, better resource utilization, and cost efficiency by commoditization of resources. Departing from the one-type-fits-all design philosophy, future wireless networks will employ the network slicing methodology in order to accommodate applications with widely diverse requirements over the same physical network. On the other hand, deciding how to efficiently allocate, manage, and control the slice resources in real time is very challenging. This article focuses on the algorithmic challenges that emerge in efficient network slicing, necessitating novel techniques from the communities of operation research, networking, and computer science.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
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  • 7
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    TelcoFog: A Unified Flexible Fog and Cloud Computing Architecture for 5G Networks (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: We propose the TelcoFog architecture as a novel, secure, highly distributed, and ultra-dense fog computing infrastructure, which can be allocated at the extreme edge of a wired/wireless network for a telecom operator to provide multiple unified, cost-effective, and new 5G services, such as NFV, MEC, and services for third parties (e.g., smart cities, vertical industries, and IoT). The distributed and programmable fog technologies that are proposed in TelcoFog are expected to strengthen the position of the mobile network and cloud markets. TelcoFog, by design, is capable of integrating an ecosystem for network operators willing to provide NFV, MEC, and IoT services. TelcoFog's key benefits are the dynamic deployment of new distributed low-latency services. The novel TelcoFog architecture consists of three main building blocks: a scalable TelcoFog node, which is seamlessly integrated in the telecom infrastructure; a TelcoFog controller, focused on service assurance and based on service data modeling using YANG, which is integrated in the management and orchestration architecture of the telecom operator; and TelcoFog services, which are able to run on top of the TelcoFog and telecom infrastructure. The TelcoFog architecture is validated through a proof of concept for IoT services.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 8
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    A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publication Date: 2017-08-13
    Description: As the proliferation of mobile devices has ignited cloud computing, it is expected that increasing development and deployment of IoT services will expedite the era of fog computing. Fog computing brings computing, storage, and networking even closer to end users and devices for services with better QoS. We introduce FogOS, a fog computing architecture for IoT services. We take the perspective of designing an operating system, practicing the architectural lessons from the long history of operating systems. We focus on addressing the challenges raised by the diversity and heterogeneity of IoT services and edge devices that are owned by individuals and different owners, and presenting how FogOS is designed to effectively and efficiently provide and manage such IoT services. We provide a city-scale surveillance use case to demonstrate FogOS in action.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 9
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    Software-Defined Vehicular Networks: Architecture, Algorithms, and Applications: Part 2 (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
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    Publication Date: 2017-08-13
    Description: The articles in this special section focus on software-defined radio in vehicular networks. Due to the random vehicle mobility and varying communication environment, an integrated vehicular network comprising heterogeneous access technologies (DSRC, WiFi, 4G/LTE, 5G, etc.) will be indispensable to provide ubiquitous mobile coverage. Although heterogeneous networking has been extensively studied in different contexts, the salient features of vehicular communications, fast mobility) have brought new challenges and led to fundamental and interesting research issues, such as how to flexibly configure and efficiently conduct resource allocation, how to enable interoperation among multiple coexisting networks, and how to effectively accommodate a large number of traveling users with various kinds of smart devices.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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  • 10
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    The Unavoidable Convergence of NFV, 5G, and Fog: A Model-Driven Approach to Bridge Cloud and Edge (2017)
    Institute of Electrical and Electronics Engineers (IEEE)
    Details
    Publication Date: 2017-08-13
    Description: The interplay between cloud and fog computing is crucial for the evolution of IoT, but the reach and specification of such interplay is an open problem. Meanwhile, the advances made in managing hyper-distributed infrastructures involving the cloud and the network edge are leading to the convergence of NFV and 5G, supported mainly by ETSI's MANO architecture. This article argues that fog computing will become part of that convergence, and introduces an open and converged architecture based on MANO that offers uniform management of IoT services spanning the continuum from the cloud to the edge. More specifically, we created the first YANG models for fog nodes, for IoT services involving cloud, network, and/or fog, and expanded the concept of "orchestrated assurance" to provision carrier-grade service assurance in IoT. The article also discusses the application of our model in a flagship pilot in the city of Barcelona.
    Print ISSN: 0163-6804
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    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Institute of Electrical and Electronics Engineers (IEEE) on behalf of The IEEE Communications Society.
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