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TOPIC '18: Proceedings of the 2018 Workshop on Theory and Practice for Integrated Cloud, Fog and Edge Computing Paradigms
ACM2018 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
PODC '18: ACM Symposium on Principles of Distributed Computing Egham United Kingdom 27 July 2018
ISBN:
978-1-4503-5776-0
Published:
23 July 2018
In-Cooperation:
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Abstract

It is our great pleasure to welcome you to the Theory and Practice for Integrated Cloud, Fog and Edge Computing Paradigms (TOPIC) 2018 in conjunction with the 37th ACM Symposium on Principles of Distributed Computing. This full day workshop aims to bring together practitioners and theoreticians to characterise such cloud, fog, and edge integrated systems, and to explore theoretical underpinning necessary for modelling, designing, analysing and optimising of networks and systems that have heterogeneous connectivity (e.g., intermittent and highly reliable), owned by different owners and operators, for supporting pervasive and ubiquitous computing. Since there is no single organisation can control all of the devices across all networks, we anticipate that there will be strong need for addressing the gap on policy enforcement, billing and access to data, etc. Security and privacy issues will also need tackling due to the need for business secrecy.

TOPIC 2018 has accepted five high quality research papers and invited two keynote presentations. These valuable and insightful talks can and will guide us to a better understanding of the future development of Integrated Cloud, Fog and Edge Computing Paradigms.

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SESSION: Keynote Address 1
keynote
Relays: Towards a Link Layer for Robust and Secure Fog Computing

In my presentation I will propose a new link-layer model for distributed computing based on so-called relays that promises to be useful for the design of robust and secure distributed systems based on overlay networks and, in particular, for fog ...

SESSION: Paper Session 1
research-article
Distributing Computations in Fog Architectures

Internet of Things (IoT) services and applications include Connected Vehicles, Smart Grid, Smart Cities, Health Care and, in general, Wireless Sensors and Actuators Networks. Typically, the scenarios can be captured with a Fog Computing architecture ...

research-article
Scheduling at the Edge for Assisting Cloud Real-Time Systems

We study edge server support for multiple periodic real-time applications located in different clouds. The edge communicates both with sensor devices over wireless sensor networks and with applications over Internet type networks. The edge caches sensor ...

research-article
Enabling Exclusive Shared Access to Cloud of Things Resources

Cloud of Things (CoT) is an emerging paradigm that integrates Cloud Computing and Internet of Things (IoT). CoT is constrained by the limited computing capabilities of IoT resources and the costly investment required to deploy IoT infrastructure. ...

SESSION: Keynote Address 2
keynote
Digital Epidemiology and Beyond

Respiratory and other close-contact infectious diseases, such as tuberculosis (TB), measles and pneumonia, are major killers in much of the developing world.Mathematical models are essential for understanding how these diseases spread, and for ...

SESSION: Paper Session 2
research-article
A Novel NFV Schedule Optimization Approach with Sensitivity to Packets Dropping Positions

Network Function Virtualization (NFV) is a promising approach for providing efficient and flexible network functions deployment, which also reduces the cost in the network operations compared to traditional method using dedicated hardware. Multiple ...

research-article
GoEdge: A Scalable and Stateless Local Breakout Method

5G mobile communication networks (5G) are expected to provide a wide range of new emerging services through flexible communication with high data rates and low network latencies. In 5G, Multi-access Edge Computing (MEC) is one of the key technologies ...

Contributors
  • Durham University
  • Loughborough University

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