scispace - formally typeset
Open AccessJournal ArticleDOI

Edge-centric Computing: Vision and Challenges

Reads0
Chats0
TLDR
This position paper position that a new shift is necessary in computing, taking the control of computing applications, data, and services away from some central nodes to the other logical extreme of the Internet, and refers to this vision of human-centered edge-device based computing as Edge-centric Computing.
Abstract
In many aspects of human activity, there has been a continuous struggle between the forces of centralization and decentralization. Computing exhibits the same phenomenon; we have gone from mainframes to PCs and local networks in the past, and over the last decade we have seen a centralization and consolidation of services and applications in data centers and clouds. We position that a new shift is necessary. Technological advances such as powerful dedicated connection boxes deployed in most homes, high capacity mobile end-user devices and powerful wireless networks, along with growing user concerns about trust, privacy, and autonomy requires taking the control of computing applications, data, and services away from some central nodes (the "core") to the other logical extreme (the "edge") of the Internet. We also position that this development can help blurring the boundary between man and machine, and embrace social computing in which humans are part of the computation and decision making loop, resulting in a human-centered system design. We refer to this vision of human-centered edge-device based computing as Edge-centric Computing. We elaborate in this position paper on this vision and present the research challenges associated with its implementation.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

TL;DR: This paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties, and elaborates further on open research challenges.
Journal ArticleDOI

Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges

TL;DR: The main goal of this study is to holistically analyze the security threats, challenges, and mechanisms inherent in all edge paradigms, while highlighting potential synergies and venues of collaboration.
Journal ArticleDOI

A Survey on the Edge Computing for the Internet of Things

TL;DR: A comprehensive survey, analyzing how edge computing improves the performance of IoT networks and considers security issues in edge computing, evaluating the availability, integrity, and the confidentiality of security strategies of each group, and proposing a framework for security evaluation of IoT Networks with edge computing.
Proceedings Article

Federated multi-task learning

TL;DR: In this paper, the authors propose a novel systems-aware optimization method, MOCHA, that is robust to practical systems issues, such as high communication cost, stragglers, and fault tolerance for distributed multi-task learning.
Journal ArticleDOI

All one needs to know about fog computing and related edge computing paradigms: A complete survey

TL;DR: This paper provides a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provides a taxonomy of research topics in fog computing.
References
More filters
Proceedings ArticleDOI

Fog computing and its role in the internet of things

TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Journal ArticleDOI

A survey of mobile phone sensing

TL;DR: This article surveys existing mobile phone sensing algorithms, applications, and systems, and discusses the emerging sensing paradigms, and formulates an architectural framework for discussing a number of the open issues and challenges emerging in the new area ofMobile phone sensing research.
Journal ArticleDOI

Mobile crowdsensing: current state and future challenges

TL;DR: The need for a unified architecture for mobile crowdsensing is argued and the requirements it must satisfy are envisioned.
Journal ArticleDOI

ACM SIGCOMM computer communication review

TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).

Computing on the Edge: A Platform for Replicating Internet Applications.

TL;DR: In this paper, the authors describe an architecture, algorithms, and a preliminary performance study of a CDN for applications (ACDN), which includes algorithms for automatic redeployment of applications on networked servers as required by changing demand and for distributing client requests among application replicas based on their load and proximity.
Related Papers (5)