Budget and Deadline Aware e-Science Workflow Scheduling in Clouds

• Published in: IEEE transactions on parallel and distributed systems Vol. 30; no. 1; pp. 29 - 44
• Main Authors: Arabnejad, Vahid, Bubendorfer, Kris, Ng, Bryan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; budget; Budgeting; Budgets; cloud; Cloud computing; deadline; Dynamic scheduling; Elasticity; Heuristic scheduling; Mapping; Provisioning; Run time (computers); Schedules; scheduling; Scheduling algorithms; Scientific workflow; Sensitivity analysis; Stability analysis; State of the art; Task analysis; Workflow

Basic science is becoming ever more computationally intensive, increasing the need for large-scale compute and storage resources, be they within a High Performance Computer cluster, or more recently within the cloud. In most cases, large scale scientific computation is represented as a workflow for...