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 40 for “"Job Scheduling"”.
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Rapid Prototyping Job Scheduling Optimization
… on human intervention to load and unload build jobs. Hence, jobs are processed subject to both the machine's and the operator's schedules. In particular, first-in-first-out (FIFO) queuing of such systems will result in machine idle time whenever a build job has been completed and an operator is …
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Job scheduling on high performance computer systems: Complexity and algorithms
The problem of job scheduling on Partitionable Massively Parallel Processor (PMPP) Systems is studied in this dissertation. The objective of the scheduling problem is to minimize the makespan or the total completion time. Key system features include the following: (1) the number of processors K is …
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A simulation of the IBM 370/155 job scheduling algorithm.
Thesis: B.S., Massachusetts Institute of Technology, Department of Electrical Engineering, 1972
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ENERGY-AWARE JOB SCHEDULING AND CONSOLIDATION APPROACHES FOR WORKFLOWS IN CLOUD
… performance guaranteed and cost-effective job schedulers. Many researchers have been focusing on scheduling jobs with high performance, and their primary concern has been execution time considerations. As a result of this thinking, little attention was paid to energy consumption and energy …
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Models and Methods for Multiple Resource Constrained Job Scheduling under Uncertainty
We consider a scheduling problem where each job requires multiple classes of resources, which we refer to as the multiple resource constrained scheduling problem(MRCSP). Potential applications include team scheduling problems that arise in service industries such as consulting and operating room …
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Short Duration Job Scheduling and Assignment using Staged Mixed Integer Programs
… to complete daily short-cycle (<6 hrs) jobs; it also introduced new capabilities that allow super- visors to review accumulated jobs in their operational region and strategize for their completion. Current operations find supervisors left with a long list of jobs to sift through when …
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A faster reinforcement learning approach to efficient job scheduling in Apache Spark
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Hybrid Meta-heuristic Algorithms for Static and Dynamic Job Scheduling in Grid Computing
… resources to be selected and shared. Allocating jobs to computational grid resources in an efficient manner is one of the main challenges facing any grid computing system; this allocation is called job scheduling in grid computing. This thesis studies the application of hybrid meta-heuristics to …
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Industrial engineering applications in metrology: Job scheduling, calibration interval and average outgoing quality
… method. After that, a detailed treatment of the scheduling problem, the calibration interval determination problem and the average outgoing quality problem is presented. The scheduling problem is formulated and modelled as a mixed integer program then solved using LINGO program. A heuristic …
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Design of optimal investment policy for influence systems and online learning for job scheduling
… and the other related to online learning for job scheduling on heterogeneous machines. In Chapter 2, a continuous-time influence system on social networks is considered, where the goal is to decide on how to allocate a limited amount of budget over a finite time horizon in order to control the …
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Online learning algorithms design with applications to clinical trial, serving system and job scheduling problem
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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DYNAMIC DECISION MAKING IN AN AUTOMATED CONTAINER YARD BLOCK VIA OPTIMIZATION-EMBEDDED DISCRETE-EVENT-SIMULATION
… Location Assignment Problem and the Yard Crane Job Scheduling Problem. The first is concerned with the allocation of storage space for inbound containers, while the second aims at finding the optimal sequencing of the yard crane's storage and retrieval requests. An innovative top-down approach …
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Integrated supply and production network design
… which optimize (1) the product lot size and (2) job scheduling on machines. EOQ and a Mixed Integer Program were both analyzed for lot size determination, with the latter demonstrating more cost efficient and production efficient results due to more flexibility with the time scale and the …
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Scheduling Real-Time Computations With Temporal Distance and Separation Constraints and With Extended Deadlines
… the timing requirements are satisfied, effective scheduling algorithms must be used. Different real-time applications have different timing requirements. Therefore, different timing constraints must be defined for different real-time applications. Also, different scheduling algorithms need to be …
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DYNAMIC ANALYSIS OF PROGRAM EXECUTION TO DISCOVER USAGE CLASSES
… of application management scenarios, such a job scheduling and detecting potential failure conditions. This research explores the use of machine learning techniques to predict an application’s usage class based on the analysis of its assembly-level instruction trace, working under the premise …
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Learned scheduling for database management systems
… database management systems need efficient job scheduling. Currently systems use simple heuristics ignoring the characteristics of database workloads. Therefore, we created an effective scheduler that uses machine learning techniques, such as reinforcement learning and neural networks, and …
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Modeling, Analysis, and Algorithmic Development of Some Scheduling and Logistics Problems Arising in Biomass Supply Chain, Hybrid Flow Shops, and Assembly Job Shops
… today's highly competitive markets. Production scheduling and design and optimization of logistics network mark the underlying topics of our work. In particular, we address three problems, Biomass Logistics Problem, Hybrid Flow Shop Scheduling Problem, and Stochastic Demand Assembly Job …
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Analysis and Optimization of a Mining and Manufacturing Operation
… problem proposed by Star Light Corporation is a job-scheduling problem that arises when a new production plant and mining shaft system is considered. This site will have all employees working as either a miner in the shaft system, a manufacturer in the plant, or a guard in either location. The …
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Job Shop Scheduling with Flexible Maintenance Planning
This thesis considers the scheduling challenges encountered at a particular facility in the nuclear industry. The scheduling problem is modelled as a variant of the job shop scheduling problem. Important aspects of the considered problem include the scheduling of jobs with both soft and hard due …
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Reinforcement Learning, Modeling Markets, and Professional Basketball Free Agency
… extends reinforcement learning applications to a job scheduling problem, where an agent must allocate resources to maximize returns under uncertainty, and to a capacity-constrained Cournot market, where firms strategically invest to maximize long-term profitability.</p> <p>Findings indicate that …
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