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Clouds, Continuums, and Cells [PDF]
This month’s issue features a Voices article that sprung from a discussion about commonly used scientific concepts that are ill defined. In a fascinating series of responses (Voices, this issue, 255–259), 15 experts explore the question of how they define the concept of cell type.
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Efficient learning-driven data transmission algorithm for cloud-to-thing continuum
In the cloud-to-thing continuum paradigm, the efficient transmission of learning-driven data is critical for facilitating real-time decision-making and continuous learning processes. Fountain codes have gained popularity as Forward Error Correction (FEC)
Haibo Yi
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Cloud Services Brokerage : a survey and research roadmap [PDF]
A Cloud Services Brokerage (CSB) acts as an intermediary between cloud service providers (e.g., Amazon and Google) and cloud service end users, providing a number of value adding services. CSBs as a research topic are in there infancy.
Barker, Adam David +5 more
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CONTINUUM EMISSION BY COOLING CLOUDS [PDF]
The collapse of baryons into the center of a host dark matter halo is accompanied by radiation that may be detectable as compact (< 10 kpc) UV-continuum and Lyman Alpha (hereafter Lya) emission with Lya luminosities as high as ~1e42-1e43 erg/s in halos of mass M=1e11-10e12 solar masses. We show that the observed equivalent width (EW) of the Lya line
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Green Application Placement in the Cloud-IoT Continuum [PDF]
Green software engineering aims at reducing the environmental impact due to developing, deploying, and managing software systems. Meanwhile, Cloud-IoT paradigms can contribute to improving energy and carbon efficiency of application deployments by (i) reducing the amount of data and the distance they must travel across the network, (ii) by exploiting ...
Forti, Stefano, Brogi, Antonio
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Applications of MLOps in the Cognitive Cloud Continuum
Background. Since the rise of Machine Learning, the automation of software development has been a desired feature. MLOps is targeted to have the same impact on software development as DevOps had in the last decade.<br/>Objectives. The goal of the research is threefold: (RQ1) to analyze which MLOps tools and platforms can be used in the Cognitive ...
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Elastic Data Analytics for the Cloud-to-Things Continuum
The massive deployment of Internet-connected devices has led to an increase in the collection of data that are then used by companies to improve their decisionmaking processes. This growing trend demands more and more cloud and communications infrastructure.
Sergio Laso +7 more
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EdgeCloud Mon: A lightweight monitoring stack for K3s clusters
Platforms that utilize resources spanning from the Edge and Cloud continuum demand a monitoring system capable of reporting diverse metrics for various applications on heterogeneous resources. EdgeCloud Mon guarantees consistent monitoring of application
Ioannis Korontanis +2 more
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A Unified Model for the Mobile-Edge-Cloud Continuum [PDF]
Technologies such as mobile, edge, and cloud computing have the potential to form a computing continuum for new, disruptive applications. At runtime, applications can choose to execute parts of their logic on different infrastructures that constitute the continuum, with the goal of minimizing latency and battery consumption and maximizing availability.
Baresi L. +4 more
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A Survey on IoT-Edge-Cloud Continuum Systems: Status, Challenges, Use Cases, and Open Issues
The rapid growth in the number of interconnected devices on the Internet (referred to as the Internet of Things—IoT), along with the huge volume of data that are exchanged and processed, has created a new landscape in network design and operation. Due to
Panagiotis Gkonis +4 more
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