Top Research Papers on Edge Computing

This paper separates service edge from physical network edge and proposes an architecture based on the ALTO server for assisting orchestration systems in discriminating the suitable environments for each service, together with an initial scalability evaluation of the proposed assignment solution to show its feasibility.

This note explores the edge from a computing perspective, and from that suggests aspects of networking that relate to edge computing, and includes some potential research problems for networking edge computing.

This research presents Edge Computing, a new paradigm that aims to bring computational power in close proximity of IoT sensors, smartphones and connected technologies to process information and deliver services.

A look at the academic view of edge computing and a sample of existing research that will be relevant in the coming years.

This article will go through an introduction of edge computing, a computer paradigm for performing calculations at the edge of the devices, which will be closer to the user and closer to the use of data there need only a small response time than the cloud.

This note explores the edge from a computing perspective, and from that suggests aspects of networking that relate to edge computing, and includes some potential research problems for networking edge computing.

This POSTnote describes edge computing, the use of computing resources in close proximity to the place where data are processed within a network, and some of the opportunities and challenges associated with its use. It supplements POSTnote 629.

This research presents a new computing paradigm in which substantial compute and storage resources are placed at the edge of the Internet, in close proximity to mobile devices, sensors, end users, and Internet of Things devices, which improves latency, bandwidth, trust, and survivability.

A set of parameters are defined based on which one of these implementations can be chosen optimally given a particular use-case or application and a decision tree for the selection of the optimal implementation is presented.

A novel computing paradigm is proposed - Deviceless Edge Computing that extends the serverless paradigm to the edge of the network, enabling IoT and Edge devices to be seamlessly integrated as application execution infrastructure.

A cost-aware computation offloading (CACO) algorithm is proposed to find out optimal two-tier offloading decisions so as to minimize the cost while making the edge computing system stable.

A virtual edge formation algorithm is designed that considers both the stability of virtual edge and the computational resources available at the vehicles constituting the virtual edge to reduce the number of computation offloading failures caused by unexpected link disconnections.

Two greedy algorithms are developed that outperform uniform strategies in terms of cost-effectiveness and ES utilization and for dynamic relocation of ES, it is shown that the cost required to relocate ES randomly is more as compared to the proposed algorithm Greedy_dynamic.

The Minimum Computation Latency Secure Edge Computing (MCLSEC) scheme is proposed to minimize computation latency and provide the security of computing data by utilizing linear coding and the resources of both edge devices and user device.

This paper reviews the state-of-the-art research on computation offloading in terms of application partitioning, task allocation, resource management, and distributed execution, with highlighting features for edge computing.

An extensive similarities and dissimilarities of Cloud, Fog and Edge computing are discussed about.

An overview of architecture of application software service system besides architecture in Cloud and Edge and current advances to address those aiding through Computational techniques is provided.

This paper presents a comprehensive survey of computation offloading in edge computing including offloading scenarios, influence factors and offloading strategies, and discusses key issues through the offloading process, such as whether, where, what to offload.

Some disruptive application scenarios which are envisioned as critical drivers for the flourish of edge computing, such as real-time video analytics, smart “things” (e.g., smart city and smart home), vehicle applications, and cloud gaming are illustrated.

This paper has discussed about the issues and challenges of cloud computing followed by the idea of how edge computing can solve that issues.

Urgent Edge Computing (UEC) is introduced as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios.

This talks explores cyber-foraging as an option for mobile devices to leverage edge networks and servers to extend their computing power and battery life, along with the software engineering challenges and opportunities that this movement brings.

An informative overview of edge computing and its benefits is offered and what the technology might mean for sectors like the arts, construction and healthcare is explored.

A computational model is described which effects the binocular combination of monocular edge information and presents a concept of the orientated and spatial-frequency-tuned channel as a nonlinear grouping operator.

This paper presents a brief introduction to MEC, and places the edge clouds at the candidate locations at the Internet's edge near mobile devices.

This paper provides the view of looking at the Edge based on dominant data flows which reduce entropy across locations and ensures overall system health.

This paper discusses the design of Pervasive Edge Computing (PEC)--a democratized edge computing framework, which enables end-user devices to dynamically participate in a large-scale computing ecosystem and discusses how the novel Named-Data Networking architecture can facilitate service deployment, discovery, invocation, and migration.

The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud.

The distinguished features of edge computing compared to other platforms from the perspectives of service, operation and control are discussed and a standard reference architecture of the edge computing platform is presented, which defines the internal and external interfaces among components at the computing host and system levels.

Cloud and edge computing are currently undergoing a substantive transformation on several fronts, from applications to hardware, and from architectures to devices. This issue of the Cloud and Edge Computing Series solicited articles in the area of cloud and edge computing to address the main issues concerned with evolving processes and supporting pedagogies and applications in cloud computing, networking, and storages technologies. There have been advances on both the cloud and edge computing fronts that have affected this line of technology. Paradigms such as computing in virtualization-based...

This work proposes an error-correcting-code inspired strategy to execute computing tasks in edge computing environments, which is designed to mitigate variability in response times and errors caused by edge devices’ heterogeneity and lack of reliability.

A wireless network device can receive, at a traffic director in a kernel space, a data packet from a client device and determine whether the data packet is intended for an application cloud server operating in a cloud environment. The wireless network device can provide, based on determining that the data packet is intended for the application cloud server, the data packet to an application server instance executing on the wireless network device. The application server instance can be implemented in a virtualized software container in a user space, and can be configured to perform one or more...

Edge Computing is thrusting the anterior of computing applications, data, and services away from centralized nodes to the logical extremes of a network and permits systematics and familiarity generation to occur at the source of the data.

This paper provides both a retrospective view of recent rapid migration of cloud multimedia to edge-aware multimedia and insights on the fundamental guidelines for designing multimedia edge computing strategies that target satisfying the changing demand of quality of experience.

A number of issues common to both statistical research and collaboration that impact the verification, under standing, and subsequent application of novel statistical pro cedures are discussed.

The most captivating aspect of a fractal is that, at first sight, it may appear to have a highlyirregular geometric shape, but with a closer look one will find that it is in fact exccedingly regular in the sense that at any detailed level the same pattern repeats.

The article provides an introduction to EC and its definition, suggesting that the integration of EC in those contexts would imply an optimisation of the processes that are normally executed in a cloud computing environment, bringing considerable advantages.

Smartphones and consumer cameras increasingly give professional photographers a run for their money in the world of photography.

A new distributed agent-based framework designed to address the challenges of edge computing is presented, designed to manage large numbers of geographically distributed services, comprised from heterogeneous resources and communication protocols, in support of low-latency real-time streaming applications.

This book is a series of related chapters on advanced topics in computer security for researchers in computer and electrical engineering focusing on the themes of identity theft, privacy and medical records, malware, computer network defense, secure sensor webs, secure embedded systems, and large scale systems.

This thesis proposes the concept of store-based microservice onloading, embedded in a flexible runtime environment for Edge Computing, which operates locally on grid cells and is able to adapt to the desired tradeoff between the quality of service and costs for the deployment.

Visualizing data is a well-established statistical technique, and most statistical software packages have many tools for this kind of analysis, and current hardware and software on workstations and PC's are quite capable of producing sound with very high quality.

What else every selfrespecting scatterplot should have?

This paper investigates how to efficiently place the edge servers (or racks) under the constraints of QoS latency, computation demands and site rental costs and proposes an efficient heuristic algorithm, namely, Offloading-Factor based edge Rack Placement (OFRP), which significantly outperforms the greedy-based algorithm.

Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.

The future of edge computing holds great promise, and almost as many challenges in deployment.

An innovative edge server placement strategy, which combines the advantages of cluster-based method and heuristic schemes, is proposed in the paper and indicates that the proposed strategy can achieve lower communication delay and better workload balance simultaneously.

It is argued that EC optimisation might also offer credible benefits for environmental sustainability, particularly regarding decarbonisation by minimising data-distribution, and outlined the creation of two integrated design fictions which highlight environmental harms resulting from widespread Cloud data management.

Monte Carlo simulation methods are a very easy way to study randomness and generate simulations from your model that can be studied as though they were actual observations.

The focus is on broadening the statistical computing from the traditional methodology and algorithmic focus to include data acquisition and input and the distribution of results in different ways such as "live" documents, Web-based tools, and so forth.