Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/8E0E92DB-A0F1-421C-9971-E48DA1BFECB3 | - |
| Identifier | https://doi.org/10.1007/978-3-030-44041-1_96 | - |
| Identifier | https://link.springer.com/chapter/10.1007/978-3-030-44041-1_96 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Elixir: an agent for supporting elasticity in Docker Swarm | en |
| Creator | Alexiou Michail | en |
| Creator | Αλεξιου Μιχαηλ | el |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Publisher | Springer Nature | en |
| Content Summary | Elixir is an autonomous agent that extends the capabilities of Docker Swarm in certain ways: (a) it supports monitoring of resources in real-time, (b) introduces a scheduler for balancing the workload among swarm nodes and, most importantly, (c) supports automatic scaling-up (or down) of worker nodes at run-time with no downtime (i.e. without stopping the system). The proposed scaling strategy is reactive and works by responding to static (pre-defined) thresholds applying on resource metrics (e.g. RAM, CPU). The experimental results demonstrate that Docker Swarm with Elixir responds to the increasing (or decreasing) resource demands of each application leading to significantly faster response times compared to its non-auto scaled counterpart, while maintaining optimal allocation of resources per application. | en |
| Type of Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2022-05-17 | - |
| Date of Publication | 2020 | - |
| Subject | Autonomous agents | en |
| Subject | Computer programming | en |
| Subject | Optimal allocation | en |
| Bibliographic Citation | M.S. Alexiou and E.G.M. Petrakis, “Elixir: an agent for supporting elasticity in Docker Swarm,” in Advanced Information Networking and Applications, vol 1151, Advances in Intelligent Systems and Computing, L. Barolli, F. Amato, F. Moscato, T. Enokido, M. Takizawa, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 1114-1125, doi: 10.1007/978-3-030-44041-1_96. | en |
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