BOOK CHAPTERS

Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges

Authors:

Guto Leoni Santos, Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, Patricia Takako Endo

Abstract:

Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. 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. Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.

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Reliable Capacity Provisioning for Distributed Cloud/Edge/Fog Computing Applications

Authors:

P-O Ostberg, James Byrne, Paolo Casari, Philip Eardley, Antonio Fernández Anta, Johan Forsman, John Kennedy, Thang Le Duc, Manuel Noya Mariño, Radhika Loomba, Miguel Angel López Peña, Jose Lopez Veiga, Theo Lynn, Vincenzo Mancuso, Sergej Svorobej, Anders Torneus, Stefan Wesner, Peter Willis, Jörg Domaschka

Abstract:

The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated edge-cloud architecture, discusses the scientific foundation of the project, and outlines plans for toolsets for continuous data collection, application performance modeling, application and component auto-scaling and remediation, and deployment optimization. The paper also presents four use cases from complementing fields that will be used to showcase the advancements of RECAP.

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