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    Yang Wang
    Transparent Dataow Detection and Use in Workow Scheduling:
    Introduction Dataow Collection and Scheduling Policies Simulation Results WaFS Prototype Concluding Remarks
    Workow-based Workloads in HPC Goal and Challenges Our Contributions
    Filename Conicts
    Instance i B A C E Out.B D F
    Instance i+1 B A C
    Out.B D F E
    Filename conicts occur when two or more jobs belonging to different workow instances in a computation have an output le with exactly the same name (e.g., Out.B), and the job can erroneously overwrite each other's data.
    Some Known Solutions and Their Constraints and Problems
    Solution Sub-directory Overwrite Serial Execution Constraint and Problem Late Resource Release and High Storage Overhead Pre-mature Resource Release and Unsafe Execution No Inter-instance Concurrency and Low Performance
    Yang Wang
    Transparent Dataow Detection and Use in Workow Scheduling:
    Introduction Dataow Collection and Scheduling Policies Simulation Results WaFS Prototype Concluding Remarks
    Workow-based Workloads in HPC Goal and Challenges Our Contributions
    Our Contributions
    1
    New Policies Exploiting Dataow to Maximize Concurrency:
    Versioned Namespace (VNS) Overwrite-Safe Concurrency (OSC) Hybrid Policy (HB)
    2
    WaFS for Transparent Dataow Collection
    Yang Wang
    Transparent Dataow Detection and Use in Workow Scheduling:
    Introduction Dataow Collection and Scheduling Policies Simulation Results WaFS Prototype Concluding Remarks
    Motivation Dataow Collection: WaFS Scheduler Dataow-based Scheduling Policies
    Motivation
    There are two major challenges to collecting and using the dataow information: Dataow information is not always available from the user submission. Traditional le systems do not track the dataow information. To address these challenges, we propose a WaFS Scheduler that integrates the le systems and the batch schedulers to obtain several benets:

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