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Showing 1 to 20 of 33 for “"scheduling framework"”.

  1. A scheduling framework for dynamically resizable parallel applications

    … and job turn around time. We have implemented a framework that enabled dynamic resizing of MPI applications. Our framework uses the recently released MPI-2 standard that enables dynamic resizing. The work described in this thesis is part of a larger effort to design and implement a system for …

    vt Repository record for A scheduling framework for dynamically resizable parallel applications (opens in a new tab)

  2. An Integrated Real-Time and Security Scheduling Framework for CPS

    … co-design task model, and an accompanying scheduling framework, where schedulability can be used to indicate whether both real-time and security requirements are met. Our algorithm is designed to be flexible, allowing different security mechanisms to be used along with real-time tasks. …

    vt Repository record for An Integrated Real-Time and Security Scheduling Framework for CPS (opens in a new tab)

  3. Convergent scheduling : a flexible and extensible scheduling framework for clustered VLIW architectures

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2003.

    mit Repository record for Convergent scheduling : a flexible and extensible scheduling framework for clustered VLIW architectures (opens in a new tab)

  4. Towards Multimodal Streaming Perception: A Real-Time Perception Scheduling Framework Based on Relevance

    … we propose a novel lightweight perception scheduling framework that efficiently leverages output from previous frames to estimate and schedule necessary perception modules in real-time. Our experimental results demonstrate that the proposed perception scheduling framework effectively …

    mit Repository record for Towards Multimodal Streaming Perception: A Real-Time Perception Scheduling Framework Based on Relevance (opens in a new tab)

  5. Cross-layer scheduling in cloud computing systems

    … In this thesis, we propose a cross-layer scheduling framework that bridges the application level scheduler with the routing level scheduler (SDN). We realize our framework in a batch-processing framework (Hadoop) and a stream-processing framework (Storm [2]). Our experimental results show …

    uiuc Repository record for Cross-layer scheduling in cloud computing systems (opens in a new tab)

  6. A streaming computation framework for the Cell Processor

    … provides facilities that simplify the task of scheduling stream actors. The library is designed in the context of the StreamIt programming language. This library is used to implement a dynamic scheduling framework. The programmability of high-level schedulers with and without the library is …

    mit Repository record for A streaming computation framework for the Cell Processor (opens in a new tab)

  7. Radio Resource Management for Satellite UMTS. Dynamic scheduling algorithm for a UMTS-compatible satellite network.

    … where the main emphasis is to design a dynamic scheduling framework and algorithm that can improve the overall performance of the radio resource management strategy of a UMTS compatible satellite network, taking into account the unique characteristics of wireless channel conditions. This thesis …

    bradford Repository record for Radio Resource Management for Satellite UMTS. Dynamic scheduling algorithm for a UMTS-compatible satellite network. (opens in a new tab)

  8. Distributed dispatchers for partially clairvoyant schedulers

    … real-time systems are modeled in the E-T-C scheduling framework and dispatched if a valid schedule exists. We examine the dispatchability of Partially Clairvoyant schedules of different sizes and varying deadlines under reasonable assumptions. The effect of scaling up the number of …

    wvu Repository record for Distributed dispatchers for partially clairvoyant schedulers (opens in a new tab)

  9. Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads

    <p>This thesis develops an economic scheduling framework for a building microgrid with internet of things (IoT) based flexible loads to synchronize the buildings’ controllable components, with occupant behavior and environmental conditions. We employ model predictive control (MPC) methods to …

    claremont Repository record for Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads (opens in a new tab)

  10. Scheduling algorithms for throughput maximization in data networks

    … performance implications of throughput optimal scheduling in physically and computationally constrained data networks. We study optical networks, packet switches, and wireless networks, each of which has an assortment of features and constraints that challenge the design decisions of network …

    mit Repository record for Scheduling algorithms for throughput maximization in data networks (opens in a new tab)

  11. Phurti: application and network-aware flow scheduling for MapReduce

    … recent schemes propose using application-aware scheduling which can reduce the average job completion time. However, most of them treat the core network as a black box with sufficient capacity. Even if only one network link in the core network becomes a bottleneck, it can hurt application …

    uiuc Repository record for Phurti: application and network-aware flow scheduling for MapReduce (opens in a new tab)

  12. Bus scheduling implementation on the cell processor

    … as a platform, I implemented an interrupt based scheduling framework that uses Element Interconnect Bus (EIB) in a temporally predictable manner. The framework is built by abstracting away low-level architectural features. Experiments were also performed to show that the real-time transactions of …

    uiuc Repository record for Bus scheduling implementation on the cell processor (opens in a new tab)

  13. Structure-utilized, Adaptive, and Efficient ML-based Proportional-Fair Scheduling in MIMO Networks for Non-stationary Channels

    Proportional Fair (PF) scheduling is widely used in multi-user MIMO systems to balance throughput and fairness. However, PF scheduling is an NP-hard problem, and hence, practical deployments approximate the optimal solution for lower latency at the cost of sub-optimal performance. More recently, …

    rice Repository record for Structure-utilized, Adaptive, and Efficient ML-based Proportional-Fair Scheduling in MIMO Networks for Non-stationary Channels (opens in a new tab)

  14. Principled Approaches for Latency Reduction in Networking Systems

    … challenges in network systems: efficient scheduling of inference tasks, performance optimization in hybrid networks, and memory-efficient load balancing in datacenters. First, we introduce Nona, a stochastic scheduling framework that leverages queueing theory to optimize task placement in …

    mit Repository record for Principled Approaches for Latency Reduction in Networking Systems (opens in a new tab)

  15. Resource Sharing for Machine Learning Serving

    … we introduce Paella, our software-defined GPU scheduling framework that enables fine-grained control over scheduling to achieve efficient multiplexing of computation resources among different models. Second, we present our novel model serving system that optimizes for the sharing of common …

    penn Repository record for Resource Sharing for Machine Learning Serving (opens in a new tab)

  16. Towards Efficient Autonomous Vehicle Systems: A Multi-Layer Approach

    This dissertation presents a multi-layer framework to enhance the efficiency, predictability, and scalability of autonomous vehicle (AV) systems by addressing critical challenges across system, application, and communication layers. At the system layer, a novel Extended Conflict Directed Graph …

    vt Repository record for Towards Efficient Autonomous Vehicle Systems: A Multi-Layer Approach (opens in a new tab)

  17. Speculative ray scheduling for large data visualization on supercomputers

    … one partition to another. For such data, ray scheduling methods have demonstrated improved rendering performance by amortizing costs across a large group of rays. However, ray schedulers are prone to long-tail effects where much time is spent computing the solution for the final few rays, …

    texas Repository record for Speculative ray scheduling for large data visualization on supercomputers (opens in a new tab)

  18. MULTI-SCALE SCHEDULING TECHNIQUES FOR SIGNAL PROCESSING SYSTEMS

    … the performance critically depends on the scheduling techniques, which in general allocate computation and communication resources for competing processing tasks in the application to optimize performance metrics such as power consumption, throughput, latency, and accuracy. Signal …

    maryland Repository record for MULTI-SCALE SCHEDULING TECHNIQUES FOR SIGNAL PROCESSING SYSTEMS (opens in a new tab)

  19. Efficient and Scalable Computing for Resource-Constrained Cyber-Physical Systems: A Layered Approach

    … as a case study, we develop a real-time resource scheduling framework at the architecture and operating system layers for heterogeneous computing platforms with guaranteed task deadlines. Finally, fast dynamic voltage and frequency scaling (DVFS) based power management across the circuit, …

    wustl Repository record for Efficient and Scalable Computing for Resource-Constrained Cyber-Physical Systems: A Layered Approach (opens in a new tab)

  20. Power and energy management of modern architectures in adaptive HPC runtime systems

    … variation. Using the models, we develop a novel scheduling framework that uses integer linear programming to enforce different performance and power consumption constraints.

    uiuc Repository record for Power and energy management of modern architectures in adaptive HPC runtime systems (opens in a new tab)

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