Opportunistic Edge Computing: Concepts, opportunities and research challenges

Olaniyan, Richard; Fadahunsi, Olamilekan; Maheswaran, Muthucumaru; Zhani, Mohamed Faten

doi:10.1016/j.future.2018.07.040

Cited by 62 publications

(23 citation statements)

References 45 publications

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“…In vertical architecture, several mini resource pools are positioned at the selected edge locations and an efficient task offloading mechanisms is used for processing data locally on the edge device. Similarly, the horizontal scaling architecture is based on Opportunistic Edge Computing (OEC) [50] that owns the computing resources in a distributed fashion and lease the resources to the system based on short contracts.…”

Section: Resource Scalingmentioning

confidence: 99%

Evolution of V2X Communication and Integration of Blockchain for Security Enhancements

et al. 2020

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With the rapid evolution in wireless communications and autonomous vehicles, intelligent and autonomous vehicles will be launched soon. Vehicle to Everything (V2X) communications provides driving safety, traffic efficiency, and road information in real-time in vehicular networks. V2X has evolved by integrating cellular 5G and New Radio (NR) access technology in V2X communications (i.e., 5G NR V2X); it can fulfill the ever-evolving vehicular application, communication, and service demands of connected vehicles, such as ultra-low latency, ultra-high bandwidth, ultra-high reliability, and security. However, with the increasing number of intelligent and autonomous vehicles and their safety requirements, there is a backlash in deployment and management because of scalability, poor security and less flexibility. Multi-access Edge Computing (MEC) plays a significant role in bringing cloud services closer to vehicular nodes, which reduces the scalability and flexibility issues. In addition, blockchain has evolved as an effective technology enabler to solve several security, privacy, and networking issues faced by the current 5G-based MEC systems in vehicular networks. Blockchain can be integrated as a strong security mechanism for securing and managing 5G V2X along with MEC. In this survey, we discuss, in detail, state-of-the-art V2X, its evolution based on cellular 5G technology and non-cellular 802.11bd. We investigate the integration of blockchain in 5G-based MEC vehicular networks for security, privacy protection, and content caching. We present the issues and challenges in existing edge computing and 5G V2X and, then, we shed some light on future research directions in these integrated and emerging technologies.

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Section: Resource Scalingmentioning

confidence: 99%

Evolution of V2X Communication and Integration of Blockchain for Security Enhancements

et al. 2020

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“…• Edge to edge infrastructures: today's cloud providers are building infrastructures everywhere from the edge of the network to the core. Such infrastructures are made out from cloud data centers with large amounts of resources and several micro clouds with potentially less computing resources towards the edge [25], [26], [27].…”

Section: A Network Infrastructurementioning

confidence: 99%

FlexNGIA: A Flexible Internet Architecture for the Next-Generation Tactile Internet

Zhani

Elbakoury

2020

J Netw Syst Manage

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From virtual reality and telepresence, to augmented reality, holoportation, and remotely controlled robotics, these future network applications promise an unprecedented development for society, economics and culture by revolutionizing the way we live, learn, work and play. In order to deploy such futuristic applications and to cater to their performance requirements, recent trends stressed the need for the "Tactile Internet", an Internet that, according to the International Telecommunication Union (ITU), combines ultra low latency with extremely high availability, reliability and security [1]. Unfortunately, todays Internet falls short when it comes to providing such stringent requirements due to several fundamental limitations in the design of the current network architecture and communication protocols. This brings the need to rethink the network architecture and protocols, and efficiently harness recent technological advances in terms of virtualization and network softwarization to design the Tactile Internet of the future.In this paper, we start by analyzing the characteristics and requirements of future networking applications. We then highlight the limitations of the traditional network architecture and protocols and their inability to cater to these requirements. Afterward, we put forward a novel network architecture adapted to the Tactile Internet called FlexNGIA, a Flexible Next-Generation Internet Architecture 1 . We then describe some use-cases where we discuss the potential mechanisms and control loops that could be offered by FlexNGIA in order to ensure the required performance and reliability guarantees for future applications. Finally, we identify the key research challenges to further develop FlexNGIA towards a full-fledged architecture for the future Tactile Internet.

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“…ECSNeT++ is a toolkit that we designed and implemented to simulate the execution of a DSP application on a distributed cloud and edge host environment. The toolkit was implemented on top of the OMNeT++ framework 3 [27] using the native network simulation capabilities of the INET framework 4 . OMNeT++ framework has matured since its inception in 1997 with frequent releases 5 .…”

Section: Ecsnet++ Simulation Toolkitmentioning

confidence: 99%

ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments

Amarasinghe

Assunção

Harwood

et al. 2020

Future Generation Computer Systems

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The objective of Internet of Things (IoT) is ubiquitous computing. As a result many computing enabled, connected devices are deployed in various environments, where these devices keep generating unbounded event streams related to the deployed environment. The common paradigm is to process these event streams at the cloud using the available Distributed Stream Processing (DSP) frameworks. However, with the emergence of Edge Computing, another convenient computing paradigm has been presented for executing such applications. Edge computing introduces the concept of using the underutilised potential of a large number of computing enabled connected devices such as IoT, located outside the cloud. In order to develop optimal strategies to utilise this vast number of potential resources, a realistic test bed is required. However, due to the overwhelming scale and heterogeneity of the edge computing device deployments, the amount of effort and investment required to set up such an environment is high. Therefore, a realistic simulation environment that can accurately predict the behaviour and performance of a large-scale, real deployment is extremely valuable. While the state-of-the-art simulation tools consider different aspects of executing applications on edge or cloud computing environments, we found that no simulator considers all the key characteristics to perform a realistic simulation of the execution of DSP applications on edge and cloud computing environments. To the best of our knowledge, the publicly available simulators lack being verified against real world experimental measurements, i.e. for calibration and to obtain accurate estimates of e.g. latency and power consumption. In this paper, we present our ECSNeT++ simulation toolkit which has been verified using real world experimental measurements for executing DSP applications on edge and cloud computing environments. ECSNeT++ models deployment and processing of DSP applications on edge-cloud environments and is built on top of OMNeT++/INET. By using multiple configurations of two real DSP applications, we show that ECSNeT++ is able to model a real deployment, with proper calibration. We believe that with the public availability of ECSNeT++ as an open source framework, and the verified accuracy of our results, ECSNeT++ can be used effectively for predicting the behaviour and performance of DSP applications running on large scale, heterogeneous edge and cloud computing device deployments.

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Opportunistic Edge Computing: Concepts, opportunities and research challenges

Cited by 62 publications

References 45 publications

Evolution of V2X Communication and Integration of Blockchain for Security Enhancements

Evolution of V2X Communication and Integration of Blockchain for Security Enhancements

FlexNGIA: A Flexible Internet Architecture for the Next-Generation Tactile Internet

ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments

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