Exogenous Coordination for Building Fog-Based Cyber Physical Social Computing and Networking Systems

Giang, Nam Ky; Lea, Rodger; Leung, Victor C. M.

doi:10.1109/access.2018.2844336

Cited by 18 publications

(18 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [72], Giang et al proposed a computing and networking system based on fog computing, which supplies a gateway to the physical world and offers new possibilities for social applications. Then, they extend their work on a distributed programming model and the key aspect of which is an exogenous coordination model that can separate computing and communication activities and can solve some challenges caused by the dynamic and large-scale system.…”

Section: Fig 4 the Exchange Of Data Between Fog Servers And End Devicesmentioning

confidence: 99%

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

View full text Add to dashboard Cite

Cyber-Physical Systems(CPS) serves as an interdisciplinary effort that incorporates cyber vector as well as physical vector. The latter can generate exponentially growing amounts of data. How to process CPS big data systematically and efficiently is the key to the breakthrough of offering prospective and personalized services for each individual user and entity involved. In recent years, much research has been proactively conducted on advancing specific scenario or algorithm. However, few surveys value their integration. For good measure, the synthesis remains a fundamental challenge. Subsequently, we fill the gap in the literature by constructing cloud computing, fog computing and edge computing as a whole to inspire on new architectures and cross utilizations. Moreover, bringing the enthusiasm of traditionally solitude entities into play is crucial. In this exploratory study, we examine definitions of CPS as well as the three aforementioned computing paradigms and then shed new light on comprehensively established frameworks. We also survey on the application level of Cloud-Fog-Edge Computing in CPS respectively and dive into diversified algorithms and strategies to embed big data applications into a more intelligent and convenient society with current deficiencies and future research directions followed.

show abstract

Section: Fig 4 the Exchange Of Data Between Fog Servers And End Devicesmentioning

confidence: 99%

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

View full text Add to dashboard Cite

show abstract

“…Distributed Node-RED (DNR) is an extension of Node-RED for distributed environments [3,4]. There are three notable extensions, which are described below.…”

Section: A Distributed Node-redmentioning

confidence: 99%

“…Our first area of ongoing research is focused on the issue of coordination among the distributed elements of the smart city applications and in particular on how we support exogenous co-ordination. More details of our initial efforts can be found in [3]. Secondly, we are exploring distributed ML algorithms and aim to extend CityFlow with explicit support for distributed learning.…”

Section: The Flow Ofmentioning

confidence: 99%

CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications

Giang

Leung

Kawano

et al. 2019

2019 IEEE International Conference on Big Data and Smart Computing (BigComp)

Self Cite

View full text Add to dashboard Cite

This paper presents an approach to supporting the development process for large-scale smart city applications that leverage edge computing resources. A smart city testbed called CitiFlow is developed, which uses Distributed Node-RED as the underlying middleware to facilitate the decomposition and communication among sub components of large scale smart city applications. For the evaluation, a lab-based setup and a real world deployment were executed and are presented.

show abstract

“…The authors in [23] proposed an application platform for Fog-based Cyber-Physical Social Computing and Networking (CPSCN) systems. In particular, they developed an independent coordination model to support a reusable and scalable application model.…”

Section: Social Internet Of Thingsmentioning

confidence: 99%

Towards Distributed Data Management in Fog Computing

Moysiadis

Sarigiannidis

Moscholios

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

show abstract

Exogenous Coordination for Building Fog-Based Cyber Physical Social Computing and Networking Systems

Cited by 18 publications

References 13 publications

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications

Towards Distributed Data Management in Fog Computing

Contact Info

Product

Resources

About