Scientific workflows are commonly used to automate scientific experiments. The automation ensures the applications being executed in the order. This feature attracts more scientists to build the workflow. However, the computational requirements are enormous. To cater the broader needs, the multi-tenant platforms for scientific workflows in distributed systems environment were built. In this paper, we identify the problems and challenges in the multiple workflows scheduling that adhere to the multi-tenant platforms in distributed systems environment. We present a detailed taxonomy from the existing solutions on scheduling and resource provisioning aspects followed by the survey in this area. We open up the problems and challenges to shove up the research on multiple workflows scheduling in multi-tenant distributed systems.
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