A Decentralized Framework for Serverless Edge Computing in the Internet of Things

Serverless computing is becoming widely adopted among cloud providers, thus making increasingly popular the Function-as-a-Service (FaaS) programming model, where the developers realize services by packaging sequences of stateless function calls. The current technologies are very well suited to data...

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Vydáno v:IEEE eTransactions on network and service management Ročník 18; číslo 2; s. 2166 - 2180
Hlavní autoři: Cicconetti, Claudio, Conti, Marco, Passarella, Andrea
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Cloud computing
Computational modeling
Computer architecture
Computer networks
Computer programming
computer simulation experiments
Data centers
Edge computing
Gateways
Internet of Things
Internet of Things services
overlay networks
Peer-to-peer computing
Sequences
software-defined networking
Statelessness
Task analysis
ISSN:1932-4537, 1932-4537
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Abstract Serverless computing is becoming widely adopted among cloud providers, thus making increasingly popular the Function-as-a-Service (FaaS) programming model, where the developers realize services by packaging sequences of stateless function calls. The current technologies are very well suited to data centers, but cannot provide equally good performance in decentralized environments, such as edge computing systems, which are expected to be typical for Internet of Things (IoT) applications. In this article, we fill this gap by proposing a framework for efficient dispatching of stateless tasks to in-network executors so as to minimize the response times while exhibiting short- and long-term fairness, also leveraging information from a virtualized network infrastructure when available. Our solution is shown to be simple enough to be installed on devices with limited computational capabilities, such as IoT gateways, especially when using a hierarchical forwarding extension. We evaluate the proposed platform by means of extensive emulation experiments with a prototype implementation in realistic conditions. The results show that it is able to smoothly adapt to the mobility of clients and to the variations of their service request patterns, while coping promptly with network congestion.
AbstractList Serverless computing is becoming widely adopted among cloud providers, thus making increasingly popular the Function-as-a-Service (FaaS) programming model, where the developers realize services by packaging sequences of stateless function calls. The current technologies are very well suited to data centers, but cannot provide equally good performance in decentralized environments, such as edge computing systems, which are expected to be typical for Internet of Things (IoT) applications. In this article, we fill this gap by proposing a framework for efficient dispatching of stateless tasks to in-network executors so as to minimize the response times while exhibiting short- and long-term fairness, also leveraging information from a virtualized network infrastructure when available. Our solution is shown to be simple enough to be installed on devices with limited computational capabilities, such as IoT gateways, especially when using a hierarchical forwarding extension. We evaluate the proposed platform by means of extensive emulation experiments with a prototype implementation in realistic conditions. The results show that it is able to smoothly adapt to the mobility of clients and to the variations of their service request patterns, while coping promptly with network congestion.
Author Passarella, Andrea
Cicconetti, Claudio
Conti, Marco
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SubjectTerms Cloud computing
Computational modeling
Computer architecture
Computer networks
Computer programming
computer simulation experiments
Data centers
Edge computing
Gateways
Internet of Things
Internet of Things services
overlay networks
Peer-to-peer computing
Sequences
software-defined networking
Statelessness
Task analysis
Title A Decentralized Framework for Serverless Edge Computing in the Internet of Things
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https://www.proquest.com/docview/2539970362
Volume 18
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