Cloud computing is a rapidly growing area. Cloud Computing offers utility-oriented IT services to the users worldwide over the internet. As compared to grid computing, the problem of resource management is transformed into resource virtualization and allocations. Effective scheduling is a key concern for the execution of performance driven applications, such as workflows in dynamic and cost-dri...

Grid facilitates global computing infrastructure for user to consume the services over the network. To optimize the workflow grid execution, a robust multi-objective scheduling algorithm is needed. In this paper, we considered three conflicting objectives like execution time (makespan), total cost and reliability. We propose a multi-objective scheduling algorithm, using R-NSGA-II approach based...

We consider different online algorithms for a generalized scheduling problem for parallel machines, described in details in the first section. This problem is the generalization of the classical parallel machine scheduling problem, when the makespan is minimized; in that case each job contains only one task. On the other hand, the problem in consideration is still a special version of the workf...

Task scheduling plays a crucial role in cloud computing and is key factor determining performance. To solve the task problem for remote sensing data processing computing, this paper proposes workflow algorithm---Workflow Scheduling Algorithm based on Deep Reinforcement Learning (WDRL). The process modeling transformed into directed acyclic graph problem. Then, algorithm designed by establishing...

In recent years cloud services have gained much attention as a result of their availability, scalability, and low cost. One use of these services has been for the execution of scientific workflows as part of Big Data Analytics, which are employed in a diverse range of fields including astronomy, physics, seismology, and bioinformatics. There has been much research on heuristic scheduling algori...