Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Resource optimization"”.
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Real-Time Resource Optimization for Wireless Networks
Resource allocation in modern wireless networks is constrained by increasingly stringent real-time requirements. Such real-time requirements typically come from, among others, the short coherence time on a wireless channel, the small time resolution for resource allocation in OFDM-based radio frame …
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Resource Optimization of SOA-Technologies in Embedded Networks
… wired and wireless nodes with different kinds of resources and service capabilities, such as sensing, acting, and processing. Driven by new opportunities and business models, embedded networks will play an ever more important role in the future, interconnecting more and more devices, even from …
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Adaptive runtime techniques for node-aware resource optimization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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A simulation environment for multiple project resource optimization
… projects under conditions of constrained resources and uncertain program requirements. A prototype version of this software tool, called SEMPRO (Simulation Environment for Multiple Project Resource Optimization), is developed to capture an operational model of the NASA Dryden Flight …
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GPU Resource Optimization and Scheduling for Shared Execution Environments
… simultaneously trade off task decomposition and resource exploitation. Often, new architecture designs force code refinements in order to continue to achieve optimal performance. At the same time, not all applications require full utilization of the system to achieve that optimal performance. In …
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Resource optimization algorithms for an automated coordinated CubeSat constellation
… that plan and coordinate activities for a resource-constrained Earth-observing CubeSat constellation. The first algorithm is the Resource-Aware SmallSat Planner (RASP), which performs low-level planning of observation and communication activities for a single satellite while simultaneously …
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Multi-objective resource optimization for large scale machine learning systems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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A simulation-based resource optimization and time reduction model using design structure matrix
… Recent research in this area addresses resource constraints as well as stochastic durations. This thesis presents a simulation-based optimization model for solving resource-constrained product development project scheduling problems. The model uses design structure matrix (DSM) to …
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Operations improvement in a semiconductor capital equipment manufacturing plant : resource optimization, labor flexibility, and inventory management
… equipment manufacturers must be able to allocate resources to meet demand at minimum cost to maintain their manufacturing competitiveness. This thesis draws heavily on the research done at Varian Semiconductor Equipment, a manufacturer of ion implantation machines for the semiconductor industry, …
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Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing
… facilities. MEC emerges as a solution, placing resourceful servers closer to users. However, the dynamic nature of processing and interaction patterns necessitates effective network control, which is challenging due to stringent requirements on both communication and computation. In this …
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Resource scheduling and optimization in dynamic and complex transportation settings
Resource optimization has always been a challenge both in traditional fields, such as logistics, and particularly so in most emerging systems in the sharing economy. These systems are by definition founded on the sharing of resources among users, which naturally creates many coordination needs as …
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CPU scheduling in robotics & AR/VR applications
… planning, and reaction tasks. Given constrained resources, this leads to a difficult scheduling problem. In practice – system designers manually tune params for their specific hardware and application, while real-time scheduling approaches assume static periodic schedules – both of which result …
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Towards secure and decentralized energy dispatch: fuel optimization using distributed learning for energy demand and storage strategies
… nonlinear systems that involve constrained resources distributed across multiple collaborating subsystems, achieving optimal resource allocation while preserving data privacy and maintaining operational constraints is a challenge. Conventional centralized optimization techniques require …
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A global perspective of the wine supply chain : the case of Argentinean wineries and the U.S. market
… and design is becoming a key factor for resource optimization, overall user experience enhancement and to achieve a competitive strategic advantage in order to gain sustainable growth ratios. This thesis analyses how current trends in Supply Chain Management are affecting the global wine …
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On the Resource Efficiency of Language Models
… tasks. However, their practical utility faces resource challenges in two dimensions: data efficiency and model efficiency. For post-training, LLMs face data curation challenges where high-quality labeled data is scarce and expensive to obtain, and data utilization challenges where existing …
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Network flow optimization for distributed clouds
… control platforms that manage the underlying resources, and applications that run on the infrastructure. This dissertation shows that network flow optimization can improve performance of distributed applications in the cloud by designing high-throughput schemes spanning all three layers. At …
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Acies-OS: a twin-assisted systems architecture for edge intelligence
… challenges, including limited computational resources, thermal constraints, and unreliable network connectivity. Addressing these challenges requires system-level innovation that spans from performance modeling and resource optimization to workflow orchestration and adaptive learning. This …
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Strategies of human spatial cognition: cognitive and behavioural trade-offs
… that allocate cognitive and behavioural resources for navigation tasks. These spatial strategies help the individual optimize its interactions with the surrounding space through functional trade-offs between the memory costs of planning routes and the cost involved in actually travelling …
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Machine Learning Approach for Resource Allocation in Mobile Edge Computing
… decisionmaking, real-time responsiveness, and resource optimization. With advancements in 6G technologies, expectations for quality of service (QoS) have been heightened, highlighting the benefits of 6G’s ultra-reliability, low latency, high bandwidth, and massive data handling capabilities. …
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Timed execution in distributed machine learning
… stemmed from the complex interplay of various resources in the distributed ML. In the first stage of this research, we developed methods and systems to properly observe a distributed ML environment by tracing a distributed execution, visualizing the results, and expanding the observability to …
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