Edge-centric Computing

Author:

Garcia Lopez Pedro1,Montresor Alberto2,Epema Dick3,Datta Anwitaman4,Higashino Teruo5,Iamnitchi Adriana6,Barcellos Marinho7,Felber Pascal8,Riviere Etienne8

Affiliation:

1. Universitat Rovira i Virgili, Tarragona, Spain

2. University of Trento, Trento, Italy

3. Delft University of Technology, Delft, Netherlands

4. Nanyang Technological University, Singapore, Singapore

5. Osaka University, Osaka, Japan

6. University of Florida, Florida, FL, USA

7. Universidade do Vale do Rio dos Sinos, Vale do Rio dos Sinos, Brazil

8. University of Neuchatel, Neuchatel, Switzerland

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference10 articles.

1. Fog computing and its role in the internet of things

2. Cisco Research Center Requests for Proposals (RFPs). Fog computing ecosystem architecture and applications. http://www.cisco.com/web/about/ac50/ac207/crc_new/university/RFP/rfp13078.html. Cisco Research Center Requests for Proposals (RFPs). Fog computing ecosystem architecture and applications. http://www.cisco.com/web/about/ac50/ac207/crc_new/university/RFP/rfp13078.html.

3. Mobile crowdsensing: current state and future challenges

4. Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology

5. Cost-Effective Content Delivery Networks Using Clouds and Nano Data Centers

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