Towards Zero Downtime Edge Application Mobility for Ultra-Low Latency 5G Streaming

Vasilakos, Xenofon; Featherstone, W.; Uniyal, Navdeep; Bravalheri, Anderson; Muqaddas, Abubakar Siddique; Solhjoo, N.; Warren, Dan; Moazzeni, Shadi; Nejabati, Reza; Simeonidou, Dimitra

doi:10.1109/ieeecloudsummit48914.2020.00010

Cited by 9 publications

(10 citation statements)

References 43 publications

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“…Moreover, unlike other efforts, we do not study tracking or predicting users' exact mobility path, but stress instead on the critical target of timely and accurate HO prediction between serving BSs and, hence, the service HO between the corresponding MEC service PoPs paired to BSs. To support mobility in such a scenario, game players expect to have a smooth HO from one BS to another without any perceived downtime [24]. Keeping user privacy under consideration, we assume, there is no user location data available to the monitoring system while it only relies on the radio signal information like RSRP.…”

Section: Related Workmentioning

confidence: 99%

“…We evaluate our ML models against a benchmark in three future period scenarios according to the conclusions of our past work in [24] to predict RSRP values and S-PCI: (i) 2 seconds for near-future (immediate) predictions targeting fine-tuning state synchronisation between service containers across the current and future service MEC site; (ii) 8 and (iii) 16 seconds in the future, hence capturing the time duration distribution for migrating a service container (i.e., spawning a new instance, and check-pointing & restoring state) to another service MEC point. For RSRP predictions (Fig.…”

Section: B Performance Analysismentioning

confidence: 99%

“…At the same time, service delay susceptibility per se can be as extreme as in the order of a few dozen milliseconds(ms), such as for mobile gaming or eX-tended/Virtual Reality (XR/VR). This leads to considering multi-access edge computing (MEC) service deployments [24], as the "closer" a service is hosted to users, the lower the latency [18] as well as the congestion likelihood [23] with fewer hops over the data path between users and servers. Not only that, MEC deployments favour machine learning (ML) models that are envisioned to assist most modern URLLC services.…”

Section: Introductionmentioning

confidence: 99%

“…In our prior work of [24], we presented a proof-of-concept mobile game streaming evaluation over an actual testbed setup that involved a kubernetes-based Edge service and highlighted the benefits of timely synchronising Edge service containers rather than migrating or using checkpoint and restore (CRIU) 3 . Specifically, we showed a two-order magnitude reduction of service downtime induced by a HO, from 5487 ms to an incredible 25 ms.…”

Section: Introductionmentioning

confidence: 99%

“…Our results show the error in regression is minimized by the classification to predict the serving cell. Note that the aforementioned periods in the future span both the ultra-delay critical synchronisation requirements and the migration time needs between edgeserved Virtual Network Function (VNF) instances to support zero service downtime perception for mobile handovers [24].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility

Uniyal

Bravalheri

Vasilakos

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

Self Cite

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Ultra-reliable low-latency communication services are intrinsically challenging to deliver, with many 5G and future services, including mobile game streaming, adding further complexity by demanding zero service downtime in high-mobility scenarios. Solving these challenges is essential and must be addressed beyond mobile gaming to realise a multitude of current and future services like Virtual Reality or holoportation in mobile scenarios. Multi-access Edge Computing brings services "closer" to user consumption with evident advantages yet at the cost of maintaining a zero downtime guarantee when user handovers (HOs) are prevalent due to the decentralisation of services towards the network edge. In this work, we design and evaluate intelligent HO prediction models between radio 5G Base Stations. The motivation for timely user HO prediction lies in being a vital presupposition for path steering and other MANO control actions in contemporary programmable 5G networks to deliver a zero downtime perception during HO events. Our meticulous simulation and actual testbed evaluation results show that effective HO prediction can be achieved using a combination of Long Short-Term Memory (LSTM) or gradient boost regression with classification models, with the latter filtering out any Reference Signal Received Power (RSRP) prediction input outliers for predicting the serving cell.

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Section: Related Workmentioning

confidence: 99%

Section: B Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility

Uniyal

Bravalheri

Vasilakos

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

Self Cite

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Survey on Joint Paradigm of 5G and SDN Emerging Mobile Technologies: Architecture, Security, Challenges and Research Directions

Kazmi

Qamar

Hassan

et al. 2023

Wireless Pers Commun

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Modern communication systems are probable to surface new challenges while introducing innovative fronts concerning context consciousness in wireless networks. The main outcome behind this expected technological jump will be a whole novel set of intuiting aptitudes forecasted for Fifth Generation (5G) enabled devices. In line with 5G, Software De ned Networking (SDN) is also rising as an intrinsically novel phenomenon.SDN is an unconventional methodology and key technology in modern communication. SDN maintains favorable novelty about network programmability, where network administration is permitted with extraordinary intellections. SDN architecture has the prospective to allow, simplify or augment security implementations in network through instantly reprogrammable centralized view of the data plane. In the near future, 5G and SDN will ripe mobile communication through the development of state-of-the-art implementations such as a smart city, advanced military security, modern national defense, intelligent tra c, etc.; thereby, these emerging mobile communication concepts invoke various signi cant topics, where security is a paramount implication. Therefore, we initiate our focus from basic architecture of 5G and SDN. Next, we analyze security requirements, solutions and challenges in joint paradigm of 5G and SDN. Further, considering the modern communication technological shift, we discuss future trends and research directions in the joint era of 5G and SDN technologies. IntroductionThe unremitting growth in the capacity and aspects of data apprehended by technological advancements has shaped diversi ed ow of data in either organized or unorganized format such as the rise of social media, Internet of Things (IoTs) for Healthcare [1] and huge multimedia communications. Indeed, the rapid expansion of the Internet industry is considerably dependent on communication system speed, which has emerged as a critical steering factor for the advancement in computer networks [2]. Scienti c advancements are rapidly changing the information technology; thereby computer networks are expanding towards incorporation, dissemination, modi cation and intelligence [3]. The pillar behind this anticipated technological hop will be an entire novel set of aptitudes forecasted for Fifth Generation (5G) communication [4]. 5G is encapsulating all advanced emerging technologies like Arti cial Intelligence (AI) [5]. Within the near future, 5G will reap portable communication organized through the advancement of inventive executions such as smart city, smart grid system, advanced military security etc. So, it is considered fundamental to boost the organized engineering of 5G technology. Likewise, Software De ned Networking (SDN) technology is expanding eminently everywhere globally due to its programmable [6], economical, agile, robust and consolidated networking. 5G is more complex and harder to manage as compared to conventional computer telecommunications and satellite communication systems. SDN is a potential organized design that abridge...

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PBPHS: A Profile-Based Predictive Handover Strategy for 5G Networks

Sun

Zhang

Trik

2022

Cybernetics and Systems

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Towards Zero Downtime Edge Application Mobility for Ultra-Low Latency 5G Streaming

Cited by 9 publications

References 43 publications

Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility

Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility

Survey on Joint Paradigm of 5G and SDN Emerging Mobile Technologies: Architecture, Security, Challenges and Research Directions

PBPHS: A Profile-Based Predictive Handover Strategy for 5G Networks

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