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Integrated Real-Time Resource Scheduling

Integrated Real-Time Resource Scheduling. Kartik Gopalan and Tzi-cker Chiueh State University of New York Stony Brook {kartik,chiueh}@cs.sunysb.edu. Experimental Computer Systems Lab. Integrated Real-time Resource Scheduling. Motivation for IRS.

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Integrated Real-Time Resource Scheduling

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  1. Integrated Real-Time Resource Scheduling Kartik Gopalan and Tzi-cker Chiueh State University of New York Stony Brook {kartik,chiueh}@cs.sunysb.edu Experimental Computer Systems Lab

  2. Integrated Real-time Resource Scheduling Motivation for IRS • Real-time applications use multiple system resources such as CPU, disk, network and memory. • Time bound on completion of multiple tasks. Read Frame Transcode T T Transmit Task Precedence Graph Experimental Computer Systems Lab

  3. Integrated Real-time Resource Scheduling Challenges • Coordinate allocation and scheduling of multiple resources. • Maximize efficiency of system resource usage. • Key : Per-task delay assignment. Disk T1 CPU T T T2 Network T3 Task Precedence Graph Experimental Computer Systems Lab

  4. Integrated Real-time Resource Scheduling Contributions • Optimal delay allocation for Linear TPG • Iterative relaxation based heuristic for Non-linear TPG. Experimental Computer Systems Lab

  5. Integrated Real-time Resource Scheduling Proof of Concept Implementation Experimental Computer Systems Lab

  6. Integrated Real-time Resource Scheduling Work-In-Progress • Gage : Per-request response time guarantees in Web server cluster. • Direct solution for non-linear TPG. Experimental Computer Systems Lab

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