Abstract
Nowadays, we witness emerging cloud technologies and a growth of cloud computing services that are used for numerous applications with diverse requirements. Although the technological innovations in the field of cloud computing; a power-efficient and automatic deployment of different applications in a multi-cloud environment is still a major challenge. SERRANO aims to take important steps in providing a transparent way of deploying applications in the Edge-Cloud-HPC computing continuum, by providing an abstraction layer that automates the process of application deployment across the various computing platforms and realizing an intent-based paradigm of operating federated infrastructures. In this paper, the acceleration process of different algorithms in the edge and cloud infrastructure of the SERRANO’s platform is described. Specifically, we showcase the benefits of HW and SW acceleration in four different algorithms from three use-case scenarios. The achieved results show that an increase at the application’s performance ranging from 7x and 6.6x up to 229x and 113.14x for the cloud and edge devices respectively, can be achieved when the evaluated workloads are executed in the SERRANO’s infrastructure.
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Notes
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Intellectual Property.
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Quality-of-Service.
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High-Performance Computing.
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i.e. a filter’s parameter that is defined by the designer [15].
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This work has been supported by the E.C. funded program SERRANO under H2020 Grant Agreement No: 101017168.
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Kokkinis, A., Ferikoglou, A., Oroutzoglou, I., Danopoulos, D., Masouros, D., Siozios, K. (2022). HW/SW Acceleration of Multiple Workloads Within the SERRANO’s Computing Continuum. In: Orailoglu, A., Reichenbach, M., Jung, M. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2022. Lecture Notes in Computer Science, vol 13511. Springer, Cham. https://doi.org/10.1007/978-3-031-15074-6_25
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