Decentralized Edge-to-Cloud Load Balancing: Service Placement for the Internet of Things
The Internet of Things (IoT) requires a new processing paradigm that inherits the scalability of the cloud while minimizing network latency using resources closer to the network edge. On the one hand, building up such flexibility within the edge-to-cloud continuum consisting of a distributed network...
Main Authors: | Zeinab Nezami, Kamran Zamanifar, Karim Djemame, Evangelos Pournaras |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9418552/ |
Similar Items
-
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment
by: Hesham El-Sayed, et al.
Published: (2018-01-01) -
Cloud, Edge, and Fog Computing and Security for the Internet of Things
by: Mohammed Al-Alshaqi, et al.
Published: (2020-10-01) -
An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
by: Hung Cao, et al.
Published: (2019-08-01) -
Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog
by: Michele De Donno, et al.
Published: (2019-01-01) -
Quality of Service Aware Orchestration for Cloud–Edge Continuum Applications
by: Adrián Orive, et al.
Published: (2022-02-01)