Smirnov, Fedor, Behnaz Pourmohseni, and Thomas Fahringer. "Apollo: Modular and Distributed Runtime System for Serverless Function Compositions on Cloud, Edge, and IoT Resources." In Proceedings of the 1st Workshop on High Performance Serverless Computing, pp. 5-8. 2020.
S. Ristov, T. Fahringer, R. Prodan, M. Kostoska, M. Gusev, and S. Dustdar, Inter-host Orchestration Platform Architecture for Ultra-scale Cloud Applications, in IEEE Internet Computing, doi: 10.1109/MIC.2020.3034293.
S. Ristov, S. Pedratscher, and Thomas Fahringer. , AFCL: An Abstract Function Choreography Language for serverless workflow specification, Future Generation Computer Systems 114: 368-382, doi: 10.1016/j.future.2020.08.012.
S. Ristov, S. Pedratscher, J. Wallnöfer, and T. Fahringer, DAF: Dependency-Aware FaaSifier for Node.js Monolithic Applications, in IEEE Software, doi: 10.1109/MS.2020.3018334.
M. Gusev, B. Koteska, M. Kostoska, B. Jakimovski, S. Dustdar, O. Scekic, T. Rausch, S. Nastic, S. Ristov, and T. Fahringer, A Deviceless Edge Computing Approach for Streaming IoT Applications, in IEEE Internet Computing, vol. 23, no. 1, pp. 37-45, 1 Jan.-Feb. 2019, doi: 10.1109/MIC.2019.2892219.
R. Mathá, S. Ristov, T. Fahringer and R. Prodan, Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness, in IEEE Transactions on Parallel and Distributed Systems, DOI 10.1109/TPDS.2020.2967662, url
Hamid Reza Faragardi, Mohammad Reza Saleh Sedghpour, Saber Fazliahmadi,Thomas Fahringer, and Nayereh Rasouli, GRP-HEFT: A Budget-ConstrainedResource Provisioning Scheme for WorkflowScheduling in IaaS Clouds, IEEE Transactions on Parallel and Distributed Systems, VOL. 31, NO. 6, JUNE 2020, url
H. Faragardi, S. Dehnavi, T. Nolte, and Mehdi kargahi, Thomas Fahringer. An energy-aware resource provisioning scheme for real-time applications in a cloud data center, Special issue on Meta-heuristic in Cloud Computing, Journal of Software: Practice and Experience, Wiley Press, pp. 1-24, April 2018. url
H. Faragardi, H. Fotouhi, M. Vahabi, and T. Nolte, Thomas Fahringer. An efficient placement of sinks and SDN controller nodes for optimizing the design Cost of industrial IoT systems, Software: Practice and Experience, Wiley Press, May 2018.
Ristov, Sasko; Mathà, Roland; Kimovski, Dragi; Prodan, Radu; Gusev, Marjan : A new model for cloud elastic services efficiency. International Journal of Parallel, Emergent and Distributed Systems, url
Nastic, Stefan; Rausch, Thomas; Scekic, Ognjen; Dustdar, Schahram; Kostoska, Magdalena; Jakimovski, Boro; Ristov, Sasko; Prodan, Radu: A Serverless Real-Time Data Analytics Platform for Edge Computing, IEEE INTERNET COMPUTING 21/4, S. 64 – 71, url
Roland Mathá, Sasko Ristov and Radu Prodan; Simulation of a workflow execution as a real Cloud by adding noise; Simulation Modelling Practice and Theory, SIMPAT 2017; url
Thanh-Phuong Pham, Juan J. Durillo, and Thomas Fahringer. Predicting Workflow Task Execution Time in the Cloud using A Two-Stage Machine Learning Approach. IEEE Transaction on Cloud Computing, 2017.
Dragi Kimovski, Nishant Saurabh, Vlado Stankovski, Radu Prodan. Multi-Objective Middleware For Distributed VMI Repositories In Federated Cloud Environment,Scalable Computing: Practice and Experience,Volume 17, Number 4, pp. 299–312. url
Thanh-Phuong Pham, Sasko Ristov and Thomas Fahringer, Performance and behavior characterization of Amazon EC2 spot instances, in IEEE Cloud 2018, accepted as a full paper, 2018