Analyses toward a prediction system for a large-scale volunteer computing system

Cloud computing with its three key facets (i.e., IaaS, PaaS, and SaaS) and its inherent advantages (e.g., elasticity and scalability) still faces several challenges. The distance between the cloud and the end devices might be an issue for latencysensitive applications such as disaster management and content delivery applications. Service Level Agreements (SLAs) may also impose processing at locations where the cloud provider does not have data centers. Fog computing is a novel paradigm to address such issues. It enables provisioning resources and services outside the cloud, at the edge of the network, closer to end devices or eventually, at locations stipulated by SLAs. Fog computing is not a substitute for cloud computing but a powerful complement. It enables processing at the edge while still offering the possibility to interact with the cloud. This article presents a comprehensive survey on fog computing. It critically reviews the state of the art in the light of a concise set of evaluation criteria. We cover both the architectures and the algorithms that make fog systems. Challenges and research directions are also introduced. In addition, the lessons learned are reviewed and the prospects are discussed in terms of the key role fog is likely to play in emerging technologies such as Tactile Internet.

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“… Analyze and predict computing and storage resource usage of existing nodes (e.g., extend the work in [148]).…”

Section: ) Mobilitymentioning

confidence: 99%

“…Adequate prediction models can then be derived accordingly to enable decision-making over the future. Such models can be inspired from those proposed in the context of volunteer computing systems [148].…”

Section: Interoperability C6mentioning

confidence: 99%

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Mouradian

Naboulsi

Yangui

et al. 2018

IEEE Commun. Surv. Tutorials

843

405

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Cross-correlation analyses toward a prediction system of CPU availability in volunteer computing system

Sekma

Dridi

Elleuch

2015

2015 International Conference on Industrial Engineering and Systems Management (IESM)

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Fog Computing and Its Challenges

Balaji

2019

The Rise of Fog Computing in the Digital Era

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In recent times, the number of internet of things (IoT) devices/sensors increased tremendously. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named fog computing has been introduced. In this chapter, the authors will introduce fog computing, its difference in comparison to cloud computing, and issues related to fog. Among the three issues (i.e. service, structural, and security issues), this chapter scrutinizes and comprehensively discusses the service and structural issues also providing the service level objectives of the fog. They next provide various algorithms for computing in fog, the challenges faced, and future research directions. Among the various uses of fog, two scenarios are put to use.

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Analyses toward a prediction system for a large-scale volunteer computing system

Cited by 3 publications

References 31 publications

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Cross-correlation analyses toward a prediction system of CPU availability in volunteer computing system

Fog Computing and Its Challenges

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