The Experts below are selected from a list of 8832 Experts worldwide ranked by ideXlab platform

Tor Skeie - One of the best experts on this subject based on the ideXlab platform.

  • mobile edge computing a survey
    IEEE Internet of Things Journal, 2018
    Co-Authors: Nasir Abbas, Yan Zhang, Amir Taherkordi, Tor Skeie
    Abstract:

    Mobile edge computing (MEC) is an Emergent Architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G Architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, Architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

Nasir Abbas - One of the best experts on this subject based on the ideXlab platform.

  • mobile edge computing a survey
    IEEE Internet of Things Journal, 2018
    Co-Authors: Nasir Abbas, Yan Zhang, Amir Taherkordi, Tor Skeie
    Abstract:

    Mobile edge computing (MEC) is an Emergent Architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G Architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, Architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

Amir Taherkordi - One of the best experts on this subject based on the ideXlab platform.

  • mobile edge computing a survey
    IEEE Internet of Things Journal, 2018
    Co-Authors: Nasir Abbas, Yan Zhang, Amir Taherkordi, Tor Skeie
    Abstract:

    Mobile edge computing (MEC) is an Emergent Architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G Architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, Architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

Yan Zhang - One of the best experts on this subject based on the ideXlab platform.

  • mobile edge computing a survey
    IEEE Internet of Things Journal, 2018
    Co-Authors: Nasir Abbas, Yan Zhang, Amir Taherkordi, Tor Skeie
    Abstract:

    Mobile edge computing (MEC) is an Emergent Architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G Architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, Architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

Tapani Ristaniemi - One of the best experts on this subject based on the ideXlab platform.

  • Multiobjective Optimization for Computation Offloading in Fog Computing
    IEEE Internet of Things Journal, 2018
    Co-Authors: Liqing Liu, Xijuan Guo, Zheng Chang, Shiwen Mao, Tapani Ristaniemi
    Abstract:

    Fog computing system is an Emergent Architecture for providing computing, storage, control, and networking capa- bilities for realizing Internet of Things. In the fog computing system, the mobile devices (MDs) can offload its data or com- putational expensive tasks to the fog node within its proximity, instead of distant cloud. Although offloading can reduce energy consumption at the MDs, it may also incur a larger execution delay including transmission time between the MDs and the fog/cloud servers, and waiting and execution time at the servers. Therefore, how to balance the energy consumption and delay performance is of research importance. Moreover, based on the energy consumption and delay, how to design a cost model for the MDs to enjoy the fog and cloud services is also important. In this paper, we utilize queuing theory to bring a thorough study on the energy consumption, execution delay, and payment cost of offloading processes in a fog computing system. Specifically, three queuing models are applied, respectively, to the MD, fog, and cloud centers, and the data rate and power consumption of the wireless link are explicitly considered. Based on the theoreti- cal analysis, a multiobjective optimization problem is formulated with a joint objective to minimize the energy consumption, exe- cution delay, and payment cost by finding the optimal offloading probability and transmit power for each MD. Extensive simu- lation studies are conducted to demonstrate the effectiveness of the proposed scheme and the superior performance over several existed schemes are observed.