Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach
Authors: 
Antonios Makris, Emmanouil Maragkoudakis, Ioannis Kontopoulos, Theodoros Theodoropoulos, Ioannis Korontanis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Theodora VarvarigouAuthors Info & Claims
Antonios Makris, Emmanouil Maragkoudakis, Ioannis Kontopoulos, Theodoros Theodoropoulos, Ioannis Korontanis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Theodora VarvarigouAuthors Info & ClaimsPages 15 - 22
Abstract
The transition from Cloud Computing to a Cloud-Edge continuum introduces novel opportunities and challenges for data-intensive and interactive Next Generation applications. Strategies that were effective in the Cloud environment now necessitate reconsideration to adapt to the Edge's distributed, dynamic, and heterogeneous ecosystem. Proactively planning the placement of application images becomes crucial to minimize image transfer time, align with the dynamic nature of the system, and meet the strict demands of applications. In this regard, this paper proposes an empirical experimental analysis, by comparing the results of different placement strategies and various network topologies. In particular, we model the problem of proactive placement of application images as a Minimum Weighted Vertex Cover problem. Our results demonstrate that the Greedy approach seems to offer the optimal tradeoff with respect to the number of allocated images and execution time.
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- Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach
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Published In
June 2024
64 pages
ISBN:9798400706417
DOI:10.1145/3659994
- General Chairs:
- Massimo Coppola,
- Hanna Kavalionak,
- Luca Ferrucci,
- Ioannis Kontopoulos
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Published: 29 July 2024
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FRAME '24: 4th Workshop on Flexible Resource and Application Management on the Edge
June 3 - 7, 2024
Pisa, Italy
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