Mobile-Edge Computing Versus Centralized Cloud Computing Over a Converged FiWi Access Network

Rimal, Bhaskar Prasad; Van, Dung Pham; Maier, Martin

doi:10.1109/tnsm.2017.2706085

Cited by 102 publications

(57 citation statements)

References 34 publications

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“…17,18 It has high efficiency; it supports the optimization of information. 19 The disadvantage of edge computing is the limited processing power and storage capacity of the edge servers. The edge computing architecture has three layers: the end devices (the bottom layer), the edge servers (the intermediate layer), and the cloud servers (the top layer) (see Figure 2).…”

Section: Mobile Edge Computingmentioning

confidence: 99%

A proposed computation, which benefits from the cooperation of dew, edge, and cloud computations

Abdoos

Taheri

Taeezadeh

2019

Trans Emerging Tel Tech

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We propose a computation that compensates the weakness of the processing power and storage capacity of the dew and edge servers. In the proposed computation, the nodes near to each other, which can be the dew, edge, or cloud servers, form a computational grid. The dew servers can be mobile devices, laptops, or computers. Their processing power and storage capacity can be used when they are idle. Our goal is to achieve load balancing of different nodes (servers). A server of the grid with proper processing power, storage capacity, remained energy, and low task load is selected as the grid head (each server of grid shares its specification with the other servers of grid periodically). The grid head (server) is responsible for grid communications. The grid head shares the specification of the grid, with the neighbor nodes (we suppose that the end device is aware of the specification of the nearest dew, edge, and cloud grid heads to itself). The end device decides about sending its created tasks to the grid head of a dew or edge or cloud grid, with attention to the distance between itself and the grid head, and the free processing power and storage capacity of the grid. The scheduling algorithm of a grid is the combination of first‐come–first‐served and priority scheduling algorithms. The simulation results show that the proposed computation has less delay and energy consumption and more efficiency than the cloud and edge computations.

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Section: Mobile Edge Computingmentioning

confidence: 99%

A proposed computation, which benefits from the cooperation of dew, edge, and cloud computations

Abdoos

Taheri

Taeezadeh

2019

Trans Emerging Tel Tech

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“…FiWi network realized on D‐RAN is enhanced with mobile edge computing (MEC) as it represents a key technology to enable the evolution towards 5G. Broader cloud‐MEC architecture with proposed resource management is given in Rimal et al…”

Section: Related Workmentioning

confidence: 99%

“…This solution allowed joint use of RoF and R&F technologies. FiWi network realized by employing D‐RAN that are enhanced with MEC represents a key technology to enable the evolution towards 5G . MEC servers are directly connected to the interface between optical and wireless segment of the network, namely, to ONT/GAP and ONT/BS for FiWi access networks realized with WLAN and mobile networks, respectively .…”

Section: Fiwi Access Network Architecturementioning

confidence: 99%

“…FiWi network realized by employing D‐RAN that are enhanced with MEC represents a key technology to enable the evolution towards 5G . MEC servers are directly connected to the interface between optical and wireless segment of the network, namely, to ONT/GAP and ONT/BS for FiWi access networks realized with WLAN and mobile networks, respectively . The introduction of MEC servers into the architecture implies the differentiation of traffic in FiWi access networks on traffic related to human‐to‐human (h2h) communication and MEC traffic related to communication of user stations (STAs) with MEC servers .…”

Section: Fiwi Access Network Architecturementioning

confidence: 99%

“…MEC servers are directly connected to the interface between optical and wireless segment of the network, namely, to ONT/GAP and ONT/BS for FiWi access networks realized with WLAN and mobile networks, respectively . The introduction of MEC servers into the architecture implies the differentiation of traffic in FiWi access networks on traffic related to human‐to‐human (h2h) communication and MEC traffic related to communication of user stations (STAs) with MEC servers . Obviously, MEC traffic unburdens optical segment of the FiWi network as it is not intended for it to reach OLT device and it is mostly intended for real‐time applications that require low latency and minimal delay .…”

Section: Fiwi Access Network Architecturementioning

confidence: 99%

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Techno‐economic analysis of FiWi access networks based on optimized source packet traffic

Breskovic¹,

Begušić

2019

Int J Network Mgmt

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Summary Fiber wireless access networks (FiWi) are capable of providing broadband 100 Mbit/s services with acceptable costs and can be considered as a competitive alternative to fiber to the home (FTTH). Techno‐economic analysis of viable FiWi architectures is needed in order to obtain the most suitable solution taking into account both technical and economical viewpoints. In this paper, a new approach to techno‐economic analysis of the FiWi networks is proposed. The proposed approach is based on the net present value calculation with the source packet traffic generation rate and traffic intensity as input parameters. As a precondition to net present value calculation, a traffic optimization procedure that assures the quality of experience is performed. Case study results indicate the usability of the proposed method.

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The Tactile Internet over 5G FiWi Architectures

Ebrahimzadeh¹,

Chowdhury²,

Maier³

2019

Optical and Wireless Convergence for 5G Networks

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Mobile-Edge Computing Versus Centralized Cloud Computing Over a Converged FiWi Access Network

Cited by 102 publications

References 34 publications

A proposed computation, which benefits from the cooperation of dew, edge, and cloud computations

A proposed computation, which benefits from the cooperation of dew, edge, and cloud computations

Techno‐economic analysis of FiWi access networks based on optimized source packet traffic

The Tactile Internet over 5G FiWi Architectures

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