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Orchestrating real-time IoT workflows in a fog computing environment utilizing partial computations with end-to-end error propagation., and . Clust. Comput., 24 (4): 3629-3650 (2021)The Impact of Input Error on the Scheduling of Task Graphs with Imprecise Computations in Heterogeneous Distributed Real-Time Systems., and . ASMTA, volume 6751 of Lecture Notes in Computer Science, page 273-287. Springer, (2011)Security, Cost and Energy Aware Scheduling of Real-Time IoT Workflows in a Mist Computing Environment., and . Inf. Syst. Frontiers, 26 (4): 1223-1241 (August 2024)Scheduling Tightly Coupled Parallel Jobs With Runtime-Extended Tasks on Distributed Resources., and . CCCI, page 1-7. IEEE, (2022)Scheduling a Time-Varying Workload of Multiple Types of Jobs on Distributed Resources., and . SPECTS, page 1-6. IEEE, (2020)Orchestrating Bag-of-Tasks Applications with Dynamically Spawned Tasks in a Distributed Environment., and . SPECTS, page 1-8. IEEE, (2021)Security and Cost Aware Scheduling of Real-Time IoT Workflows in a Mist Computing Environment., and . FiCloud, page 34-41. IEEE, (2021)Resource Allocation and Scheduling of Linear Workflow Applications with Ageing Priorities and Transient Failures., and . AICCSA, page 1-8. IEEE, (2022)Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum., , , and . COMPSAC, page 483-492. IEEE, (2024)Dynamic scheduling of bags-of-tasks with sensitive input data and end-to-end deadlines in a hybrid cloud., and . Multim. Tools Appl., 80 (11): 16781-16803 (2021)