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Context-Aware Service Delegation for Opportunistic Pervasive Computing

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Service-Oriented Computing (ICSOC 2023)

Abstract

The growth of capabilities of mobile devices allows them to host increasingly sophisticated application services. Emerging paradigms within the Cloud Continuum are based on the concept of running services closer to users, even on their own devices. Nonetheless, running collaborative services on these devices requires attention to constraints that differentiate the devices from cloud servers, such as limited battery or constrained data plans. New techniques are required to empower users to, first, execute services locally and, second, allow services to migrate to other available devices. We define Pervasive Delegation Of Services (PODS), a framework to opportunistically select the best candidate to run a service from among those in a local network, as well as to delegate it to others whenever the contextual circumstances change.

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Acknowledgment

This work has been partially funded by the projects TED2021-130913B-I00 and PDC2022-133465-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union “Next GenerationEU/PRTR”, by the Department of Economy, Science, and Digital Agenda of the Government of Extremadura (GR21133), and by the European Regional Development Fund. This work was also partially supported by the European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, partnership on “Telecommunications of the Future” (PE00000001 - program “RESTART”). CUP: J33C22 002880001 and by the Whole Communities–Whole Health Research Grand Challenge at the University of Texas at Austin.

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Correspondence to Juan Luis Herrera .

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Herrera, J.L., Chen, HY., Berrocal, J., Murillo, J.M., Julien, C. (2023). Context-Aware Service Delegation for Opportunistic Pervasive Computing. In: Monti, F., Rinderle-Ma, S., Ruiz Cortés, A., Zheng, Z., Mecella, M. (eds) Service-Oriented Computing. ICSOC 2023. Lecture Notes in Computer Science, vol 14420. Springer, Cham. https://doi.org/10.1007/978-3-031-48424-7_12

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  • DOI: https://doi.org/10.1007/978-3-031-48424-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48423-0

  • Online ISBN: 978-3-031-48424-7

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