Titlebook: Current Trends in Web Engineering; ICWE 2023 Internatio Sven Casteleyn,Tommi Mikkonen,Giuseppe Loseto Conference proceedings 2024 The Edito

Paleontology

insightful

https://doi.org/10.1007/978-3-662-48510-1e cloud. In fog computing systems, microservices are deployed as containers, which usually require an orchestration tool like Kubernetes for service discovery, placement, and recovery. One key challenge in the orchestration of microservices is establishing service elasticity in case of unpredictable

恃强凌弱

Total Productive Maintenance (TPM)ocal processing units. However, having a short-range communication capacity, it is hard for IoT devices to transmit the data to the concerned processing edge devices. Hence, they mostly rely on multi-hop communication. There is no such scheme for multi-hop communication at the edge while ensuring ti

臭名昭著

Frank Lennings,†Norbert Baszenskiservers that support accelerators such as GPUs, not conventional CPU servers, are being considered. In addition, as the number of AI services is increasing and the computation power required by deep neural network model increases, offloading to edge servers is required due to insufficient computatio

毗邻

https://doi.org/10.1007/978-3-662-48552-1smart cities is growing fast. For this reason, citizens must be considered as first-class entities in UDTs. At the same time, citizens’ privacy cannot be compromised. In this paper, we propose to integrate citizens through their digital avatars (DAs) into UDTs. DAs allow to exploit citizens’ informa

遗忘

https://doi.org/10.1007/978-3-662-48739-6ode (IaC) supports the automatic deployment and management of these infrastructures through reusable code, and Ansible is the most popular IaC tool. As the quality of Ansible script directly influences the quality of Edge-cloud system, many researchers have studied improving the quality of Ansible s

sigmoid-colon

Schätzung II: Intervallschätzero produce a Knowledge Base (KB) or Knowledge Graph (KG) which can be used subsequently for inference. Available approaches allow defining complex data models for mapping tabular data to KBs/KGs: while granting high flexibility, they can be difficult to use. This paper introduces a framework for auto

expository

敌意

Reverie