The emergence of real-time and data-intensive applications empowered by mobile computing and IoT devices is challenging the success of centralized data centers, and fostering the adoption of the paradigm of fog/edge computing. Differently from cloud data centers, fog nodes are geographically distributed in proximity to data prosumers, taking advantage of the emerging wireless communication technologies and mobile networks. The limited resources of densely distributed fog nodes call for their efficient use by hosted applications and services. To address this challenge, and the needs of different application scenarios, this paper proposes a serverless platform for edge computing. It starts motivating the adoption of a serverless architecture. Then, it presents the services and mechanisms that are the building blocks of a extit{Serverless Edge Platform}. The paper also proposes a prototype platform and its assessment. Obtained results demonstrate the feasibility of the proposed solution for satisfying different application requirements in diverse deployment configurations of heterogeneous fog nodes.

Towards a serverless platform for edge computing

Baresi L.;
2019-01-01

Abstract

The emergence of real-time and data-intensive applications empowered by mobile computing and IoT devices is challenging the success of centralized data centers, and fostering the adoption of the paradigm of fog/edge computing. Differently from cloud data centers, fog nodes are geographically distributed in proximity to data prosumers, taking advantage of the emerging wireless communication technologies and mobile networks. The limited resources of densely distributed fog nodes call for their efficient use by hosted applications and services. To address this challenge, and the needs of different application scenarios, this paper proposes a serverless platform for edge computing. It starts motivating the adoption of a serverless architecture. Then, it presents the services and mechanisms that are the building blocks of a extit{Serverless Edge Platform}. The paper also proposes a prototype platform and its assessment. Obtained results demonstrate the feasibility of the proposed solution for satisfying different application requirements in diverse deployment configurations of heterogeneous fog nodes.
2019
Proceedings - 2019 IEEE International Conference on Fog Computing, ICFC 2019
978-1-7281-3236-5
Data-intensive
Edge-computing
Fog-computing
Latency-sensitive
Serverless-computing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1167260
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