Search Results - Software architecture for IoT-Edge–Cloud computing continuum

Mobile IoT-Edge-Cloud Continuum Based and DevOps Enabled Software Framework by Judvaitis, Janis, Balass, Rihards, Greitans, Modris

“… The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions…”
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Preference-based D2D offloading in IoT-edge-cloud continuum by Chaturvedi, Haripriya, Baranwal, Gaurav

“… The collaborative architecture, i.e. Device-to-Device (D2D)-edge computing, plays a great role in solving this resource gap problem between the IoT and mobile devices and edge servers…”
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Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework by Petrakis, Kostas, Agorogiannis, Evangelos, Antonopoulos, Grigorios, Anagnostopoulos, Themistoklis, Grigoropoulos, Nasos, Veroni, Eleni, Berne, Alexandre, Azaiez, Selma, Benomar, Zakaria, Kakoulidis, Harry, Prasinos, Marios, Sotiriades, Philippos, Mavrothalassitis, Panagiotis, Alexopoulos, Kosmas

“… operation, adaptability, and scalability across the IoT–edge–cloud continuum. The work emphasizes Continuous Integration/Continuous Deployment (CI/CD…”
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A Reference Architecture for Cloud–Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts by Trakadas, Panagiotis, Masip-Bruin, Xavi, Facca, Federico M., Spantideas, Sotirios T., Giannopoulos, Anastasios E., Kapsalis, Nikolaos C., Martins, Rui, Bosani, Enrica, Ramon, Joan, Prats, Raül González, Ntroulias, George, Lyridis, Dimitrios V.

“… In this context, this paper presents a reference architecture of a meta-operating system (RAMOS), targeted to enable a dynamic, distributed and trusted continuum which will be capable of facilitating the next-generation smart applications at the edge…”
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Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive Connectivity by Adame, Toni, Amri, Emna, Antonopoulos, Grigoris, Azaiez, Selma, Berne, Alexandre, Camargo, Juan Sebastian, Kakoulidis, Harry, Kleisarchaki, Sofia, Llamedo, Alberto, Prasinos, Marios, Psara, Kyriaki, Shumaiev, Klym

“…In the era of ubiquitous computing, the challenges imposed by the increasing demand for real-time data processing, security, and energy efficiency call for innovative solutions…”
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MAGNET: An optimized DevOps framework for efficient software integration and orchestration in the IoT-Edge-Cloud Continuum by Agorogiannis, Evangelos, Petrakis, Kostas, Antonopoulos, Grigorios, Anagnostopoulos, Themistoklis, Grigoropoulos, Nasos, Benomar, Zakaria

“…, and scalability within the IoT-edge-cloud continuum. The proposed approach ensures efficient, reliable, and seamless framework integration, offering key insights…”
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Generative Digital Twins: A Novel Approach in the IoT Edge-Cloud Continuum by Savaglio, Claudio, Barbuto, Vincenzo, Mangione, Fabrizio, Fortino, Giancarlo

“…Digital Twins (DTs) are software replicas that not only mirrors physical entities but can also proactively predict, control, optimize and simulate their behavior…”
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The Promising Role of Representation Learning for Distributed Computing Continuum Systems by Donta, Praveen Kumar, Dustdar, Schahram

“… The DCCS helps increase flexibility with improved performance of hybrid IoT-Edge-Cloud infrastructures…”
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Bounded transmission latency in real-time edge computing: a scheduling analysis by Fara, Pietro, Serra, Gabriele, Aromolo, Federico

“… On the other hand, these systems demand predictability across the IoT-edge-cloud continuum. Regardless of the communication link, real-time tasks at the edge send data on the network, employing one or more transmission queues…”
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Towards Smart Microfarming in an Urban Computing Continuum by Grunewald, Marla, Bensalem, Mounir, Dizdarević, Jasenka, Jukan, Admela

“…) -edge-cloud continuum. We propose and build a system architecture for a plant recommendation system that uses machine learning (ML…”
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The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge Computing by Lynn, Theo, Mooney, John G, Lee, Brian, Endo, Patricia Takako

“… This book provides a variety of perspectives on how technologyinnovations such as fog, edge and dew computing, 5G networks, and distributedintelligence are making us rethink conventional cloud…”
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