Edge Intelligence for Next Generation Cloud-Edge-IoT Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (26 August 2022) | Viewed by 5475
Special Issue Editors
Interests: serverless computing; edge-cloud continuum; reliability engineering; AI/ML
Special Issues, Collections and Topics in MDPI journals
Interests: cloud infrastructure; large-scale cluster management
Special Issue Information
Dear Colleagues,
Cloud computing has seen an unprecedented boom during the last decade. The next generation of clouds are already expanding beyond traditional data centers into the far edges of the network. This is completely transforming how we perceive the notion of computing infrastructures and other digital resources such as storage and network. Additionally, novel types of resources e.g., Edge-based, sensors are becoming an integral part of this novel computational fabric. Therefore, we are witnessing a paradigm shift, in which digital resources are becoming truly ubiquitous and first-class citizens available across the entire Cloud-Edge-IoT (CEI) continuum. This is quickly disrupting our understanding of many systems properties, which are traditionally known as cloud-native flagship properties. Examples include: elasticity, resource scheduling, Service Level Agreements (SLAs); application execution models (e.g., serverless computing) and design architectures (e.g., microservice architectures). Enabling edge intelgence will play a decisive role to being able to efficiently and cost effectively operate such a CEI computational fabric. Whatismore, edge intelligence is a crucial precondition for building novel CEI applications, which need to process vast amounts of data intelligently, near data sources.
Dr. Stefan Nastic
Dr. Xiaoning Ding
Prof. Dr. Marjan Gusev
Guest Editors
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Keywords
- edge intelligence
- edge computing
- machine learning
- Internet of Things
- hybrid cloud computing
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