Optimalizace nasazení cloudových aplikací při zohlednění rozdílných QoS požadavků
| Thesis title in Czech: | Optimalizace nasazení cloudových aplikací při zohlednění rozdílných QoS požadavků |
|---|---|
| Thesis title in English: | Optimizing the deployment of cloud applications for multiple QoS parameters |
| Key words: | kvalita služeb|cloud|edge-cloud|nasazení |
| English key words: | deployment|cloud|edge-cloud|Quality of Service |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | diploma thesis |
| Thesis language: | čeština |
| Department: | Department of Distributed and Dependable Systems (32-KDSS) |
| Supervisor: | doc. RNDr. Petr Hnětynka, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 11.11.2019 |
| Date of assignment: | 13.11.2019 |
| Confirmed by Study dept. on: | 19.11.2019 |
| Date and time of defence: | 04.02.2021 09:00 |
| Date of electronic submission: | 07.01.2021 |
| Date of submission of printed version: | 07.01.2021 |
| Date of proceeded defence: | 04.02.2021 |
| Opponents: | Mgr. Ladislav Peška, Ph.D. |
| Guidelines |
| In modern cloud environments many types of applications coexist on clusters of machines with different hardware configurations. This creates a unique execution environment for each running application instance. As different types of applications can have different quality of service (QoS) requirements, there is a need to ensure that the conditions in which the instances run allow them to meet their respective QoS requirements.
The goal of the thesis is to design a framework for optimization of the deployment of cloud applications according to multiple QoS parameters (such as response time and throughput). The framework will work as a proof-of-concept, and its main purpose is to test the specific approach to managing the application deployment in cloud environment [1]. The framework should be able to collect data about the efficiency of the deployment optimization (i.e. the performance of the deployed instances with respect to the chosen QoS parameters). Part of the thesis is the evaluation of the results of such measurements and thus evaluation of the effectiveness of the chosen approach. |
| References |
| [1] Hnětynka P., Kubát P., Al Ali R., Gerostathopoulos I., Khalyeyev D.: Guaranteed Latency Applications in Edge-Cloud Environment, In ECSA 2018 Companion proceedings, Madrid, Spain, 2018
[2] Satyanarayanan, M.: The Emergence of Edge Computing. Computer. 50, 1, 2017 [3] Orsini, G. et al.: Generic context adaptation for mobile cloud computing environments. J. of Ambient Intelligence and Humanized Computing. 9, 1, 2018 [4] Baccarelli, E. et al.: Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study. IEEE Access. 5, 2017 [5] Lewis, G.A. and Lago, P.: A Catalog of Architectural Tactics for Cyber-Foraging. Proc. of QoSA 2015, Montreal, Canada, 2015 |