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Cost-Efficient NFV-Enabled Mobile Edge-Cloud for Low Latency Mobile Applications

Binxu Yang, Wei Koong Chai, Zichuan Xu, Konstantinos V. Katsaros, George Pavlou
2018 IEEE Transactions on Network and Service Management  
Index Terms-Mobile edge-cloud, low latency applications, dynamic resource allocation, approximation algorithm.  ...  Mobile edge-cloud (MEC) aims to support low latency mobile services by bringing remote cloud services nearer to mobile users.  ...  SUMMARY AND CONCLUSIONS We address the challenge of designing dynamic mobile edge-cloud (MEC) resource allocation for delay sensitive mobile applications in a Network Function Virtualization (NFV)enhanced  ... 
doi:10.1109/tnsm.2018.2790081 fatcat:mzqpvkgpt5egrbgeq5bqhfb6ay

Five Driving Forces of Multi-Access Edge Computing [article]

Madhusanka Liyanage, Pawani Porambage, Aaron Yi Ding
2018 arXiv   pre-print
The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the wireless access networks.  ...  MEC provides real-time, high-bandwidth, low-latency access to radio network resources, allowing operators to open their networks to a new ecosystem and value chain.  ...  ., edge automation) will combat towards low latency for real-time services, better orchestration, enhanced security, and backhaul cost savings. VIII.  ... 
arXiv:1810.00827v1 fatcat:ws7mlwyn3zfatoffzgh5exmc2y

Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G

Madhusanka Liyanage, Pawani Porambage, Aaron Yi Ding, Anshuman Kalla
2021 ICT Express  
Thus, MEC-enabled 5G wireless systems are envisaged to offer real-time, low-latency, and high-bandwidth access to the radio network resources.  ...  The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users.  ...  ., edge automation) will combat low latency for real-time IoT services, better orchestration, enhanced security, and backhaul cost savings.  ... 
doi:10.1016/j.icte.2021.05.007 fatcat:yabezlyxwzchxftgqxackcc3ni

Guest Editorial Special Issue on Edge-Cloud Interplay Based on SDN and NFV for Next-Generation IoT Applications

Sahil Garg, Song Guo, Vincenzo Piuri, Kim-Kwang Raymond Choo, Balasubramanian Raman
2020 IEEE Internet of Things Journal  
In "An efficient energy cost and mapping revenue strategy for interdomain NFV-enabled networks," the authors proposed an energy cost model and resource allocation strategy in interdomain NFV-enabled networks  ...  In "Low-latency and resource-efficient service function chaining orchestration in network function virtualization," the authors proposed a breadth-first search-based algorithm for efficient service function  ... 
doi:10.1109/jiot.2020.2999798 fatcat:sbfruvc4djh7haw3scb4u2jxku

Seamless Support of Low Latency Mobile Applications with NFV-Enabled Mobile Edge-Cloud

Binxu Yang, Wei Koong Chai, George Pavlou, Konstantinos V. Katsaros
2016 2016 5th IEEE International Conference on Cloud Networking (Cloudnet)  
Emerging mobile multimedia applications, such as augmented reality, have stringent latency requirements and high computational cost.  ...  To address this, mobile edge-cloud (MEC) has been proposed as an approach to bring resources closer to users.  ...  Therefore, it is challenging to dynamically place servicehosting nodes among NFV-enabled nodes to simultaneously achieve both cost efficiency and low latency over time.  ... 
doi:10.1109/cloudnet.2016.21 dblp:conf/cloudnet/YangCPK16 fatcat:5uckkhj3dfakvct5zxne5gbvoa

Deep Learning at the Mobile Edge: Opportunities for 5G Networks

Miranda McClellan, Cristina Cervelló-Pastor, Sebastià Sallent
2020 Applied Sciences  
Together, mobile edge computing and ML enable seamless automation of network management to reduce operational costs and enhance user experience.  ...  In this paper, we discuss the state of the art for ML within mobile edge computing and the advances needed in automating adaptive resource allocation, mobility modeling, security, and energy efficiency  ...  Together, ML and mobile edge computing can enable real-time applications with low-latency cloud computation.  ... 
doi:10.3390/app10144735 fatcat:ytrnh35x6zbxbki3zg435xqacu

Scanning the Literature

Xiaohua Tian
2019 IEEE Network  
The column in this issue focuses on the research on IoT and NFV, particularly, performance improving methods of NFV, NFV for mobile edge-cloud, and NFV-based frameworks for practical IoT applications.  ...  However, the explosively increasing IoT applications require not only network access but also application-oriented functionalities such as authentication, firewalls, and proxies.  ...  Cost-Efficient NFV-Enabled Mobile Edge-Cloud for Low Latency Mobile Applications Binxu Yang, Wei Koong Chai, Zichuan Xu, Konstantinos V.  ... 
doi:10.1109/mnet.2018.8610420 fatcat:il46bpklanfxhhqubw4ubvvvee

Survey on Multi-Access Edge Computing for Internet of Things Realization

Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika Ylianttila, Tarik Taleb
2018 IEEE Communications Surveys and Tutorials  
for mobility.  ...  The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency  ...  General IoT [165] Present a NFV-enabled MEC framework for low latency mobile applications.  ... 
doi:10.1109/comst.2018.2849509 fatcat:fnksr3dbqfakzfvnopyyxjdlfm

Cloud-Native Network Slicing using Software Defined Networking based Multi-Access Edge Computing: A Survey

Syed Danial Ali Shah, Mark A. Gregory, Shuo Li
2021 IEEE Access  
Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable and low latency communication, real-time and dynamic  ...  INDEX TERMS Network slicing, software defined networking, multi-access edge computing, cloud native, ultra-reliable, and low latency communication.  ...  Edge computing will permit the computation-intensive and low-latency applications to run at the edge.  ... 
doi:10.1109/access.2021.3050155 fatcat:u3l3rh7mlnbnbaz2xipcbppmdm

Softwarization in Future Mobile Networks and Energy Efficient Networks [chapter]

Thembelihle Dlamini
2019 Mobile Computing [Working Title]  
As a remedy, a new MN network design paradigm has emerged, called Mobile Edge Computing (MEC), to enable low-latency and locationaware data processing at the network edge.  ...  The data growth generated by pervasive mobile devices and the Internet of Things at the network edge (i.e., closer to mobile users), couple with the demand for ultra-low latency, requires high computation  ...  NFV-based EPC architectural evolution The works of [6, 7] proposed the use of a cloud-based approach with NFV platform, for the EPC evolution, in order to enable dynamic deployment of edge networks,  ... 
doi:10.5772/intechopen.89607 fatcat:lzk6rup6hzcllm6lmyo3h4dciy

Multi-Access Edge Computing: A Survey

Abderrahime Filali, Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane, Mohsen Guizani
2020 IEEE Access  
Located in close proximity from the end users and connected devices, MEC provides extremely low latency and high bandwidth while always enabling applications to leverage cloud capabilities as necessary  ...  Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems.  ...  OPTIMIZATION APPROACHES FOR COMBINED RESOURCES The work in [41] investigates low latency requirements of mobile services and MEC cost efficiency.  ... 
doi:10.1109/access.2020.3034136 fatcat:ncqn7le65jfshcqnqzy7twrwwu

VNF and Container Placement: Recent Advances and Future Trends [article]

Wissal Attaoui, Essaid Sabir, Halima Elbiaze, Mohsen Guizani
2022 arXiv   pre-print
With the growing demand for openness, scalability, and granularity, mobile network function virtualization (NFV) has emerged as a key enabler for most mobile network operators.  ...  , improves flexibility, and leads to efficient and scalable resource usage, and lower costs.  ...  SDN and NFV technologies have been introduced as crucial paradigms for reaching the tactile internet's low latency requirements in multi-access edge computing (MEC) cloud systems.  ... 
arXiv:2204.00178v1 fatcat:giwlibsaknbkdnuvkao6nhkdnq

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Shuo Wang, Xing Zhang, Yan Zhang, Lin Wang, Juwo YANG, Wenbo Wang
2017 IEEE Access  
The applications and use cases of mobile edge networks are discussed. Subsequently, the key enablers of mobile edge networks such as cloud technology, SDN/NFV and smart devices are discussed.  ...  Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper.  ... 
doi:10.1109/access.2017.2685434 fatcat:omhcphk735czrnmjnwkoory6hq

Open RAN Deployment Using Advanced Radio Link Manager Framework to Support Mission Critical Services in 5G

Sree S, Seshaiah Ponnekanti
2019 EAI Endorsed Transactions on Cloud Systems  
Next generation networks or 5G will be "network of networks" that can support ultra-reliable and low latency communication, high data rate, huge connectivity and high security.  ...  The paper explores pioneering research related to architecture and intelligent RRM that helps Service Providers (SPs) to design reference framework of an advanced Radio Link Manager (RLM) enabled by Machine  ...  Maneesha Vinodini Ramesh for providing immense research support in completing this work.  ... 
doi:10.4108/eai.15-3-2019.162140 fatcat:axc4if675fep7badigrvstdjku

MEC towards 5G: A Survey of Concepts, Use Cases, Location Tradeoffs

Belghol Hibat Allah, Idrissi Abdellah
2017 Transactions on Machine Learning and Artificial Intelligence  
centralized and what have to be distributed to the edge based on parameters such as applications, traffic type, and network conditions.  ...  In recent years, there has been a new trend to push everything to a centralized cloud, triggered by virtualization and pushed by the need to reduce costs and increase suppleness.  ...  This paper is a solid basis that paves the ground to our future work that will propose the integration of MEC, DCRAN, NFV, SDN and Big Data Analytics in an overall network architecture and discuss the  ... 
doi:10.14738/tmlai.54.3215 fatcat:sptiutlb2jgxdnn7xhjfxe5phe
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