Cloud Orchestration at the Level of Application (COLA)
SMEs and public sector organizations are increasingly wanting to use cloud computing services in their everyday business. However, accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings due to more efficient and convenient resource utilization that also replaces large investment costs with long term operational costs.
On the other hand, the take up of cloud computing by SMEs and the public sector is still relatively low due to limited application-level flexibility and also security concerns. The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by the above two strategic target communities. Typical industry and public sector applications require resource scalability and efficient resource utilization in order to serve a variable number of customers with dynamic resource demands.
However, the dynamic and intelligent utilization of cloud infrastructure resources from the perspective of cloud applications is not trivial. The overall objective of the COLA project is that by building on and extending current research results, it will define and provide a reference implementation of a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA will demonstrate the applicability and impact of the solution via large scale near operational level SME and public sector pilot studies. The project also has a special interest of developing deadline-scheduling services for simulation, a technique widely used in the public sector and industry.
- Professor Tamas Kiss (University of Westminster, Project Lead)
- MTA SZTAKI (Hungary )
- Cloudbroker GMBH (Switzerland)
- Scaletools AG (Switzerland)
- SICS (Sweden)
- Cloudsigma (Switzerland)
- BALABIT (Hungary)
- INYCOM (Spain)
- SARGA (Spain)
- Outlandish LLP (UK)
- Saker Solutions (UK)
- CloudSME UG (Germany)
Kiss, T., DesLauriers, J., Gesmier, G., Terstyanszky, G., Pierantoni, G., Abu Oun, O., Taylor, S.J.E., Anagnostou, A., Kovacs, J. (2019). A cloud-agnostic queuing system to support the implementation of deadline-based application execution policies. Future Generation Computer Systems, 101: 99-111. https://doi.org/10.1016/j.future.2019.05.062
Taylor, S.J.E. Distributed Simulation: State-of-the-Art and Potential for Operational Research. (2019). European Journal of Operational Research. 273(1):1-19. https://doi.org/10.1016/j.ejor.2018.04.032
Anagnostou, A., Taylor, S.J.E., Abubakar, N., Kiss, T., DesLauriers, J., Gesmier, G., Terstyanszky, G., Kacsuk, P. and Kovacs, J. (2019) “Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach.” In Proceedings of the 2019 Winter Simulation Conference (WSC19), Edited by N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, and Y-J. Son, Invited, Maryland, December 8-11.