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2020 – today
- 2024
[c5]Shaimaa Rashid, Rawaa Qasha:
Cloud-Based Data Classification Framework for Cultural Heritage Conservation. INFORMATIK 2024: 973-983- [c4]Shaimaa Rashid, Rawaa Qasha:
Real-time collection and archiving of related posts to cultural heritage on the cloud. INFORMATIK 2024: 985-995 - 2023
- [j3]Haleema Essa Solayman, Rawaa Putros Qasha:
On the use of container-based virtualisation for IoT provisioning and orchestration: a survey. Int. J. Comput. Sci. Math. 18(4): 299-311 (2023) - 2020
- [j2]Zhenyu Wen
, Rawaa Qasha, Zequn Li, Rajiv Ranjan, Paul Watson, Alexander B. Romanovsky:
Dynamically Partitioning Workflow over Federated Clouds for Optimising the Monetary Cost and Handling Run-Time Failures. IEEE Trans. Cloud Comput. 8(4): 1093-1107 (2020)
2010 – 2019
- 2019
- [j1]Rawaa Qasha, Zhenyu Wen, Jacek Cala, Paul Watson:
Sharing and performance optimization of reproducible workflows in the cloud. Future Gener. Comput. Syst. 98: 487-502 (2019) - 2017
- [b1]Rawaa Qasha:
Automatic deployment and reproducibility of workflow on the Cloud using container virtualization. Newcastle University, Newcastle upon Tyne, UK, 2017 - 2016
- [c3]Rawaa Qasha, Jacek Cala, Paul Watson:
Dynamic Deployment of Scientific Workflows in the Cloud Using Container Virtualization. CloudCom 2016: 269-276 - [c2]Rawaa Qasha, Jacek Cala, Paul Watson:
A framework for scientific workflow reproducibility in the cloud. eScience 2016: 81-90 - 2015
- [c1]Rawaa Qasha, Jacek Cala, Paul Watson:
Towards Automated Workflow Deployment in the Cloud Using TOSCA. CLOUD 2015: 1037-1040
Coauthor Index
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