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Relevant bibliographies by topics / Parallel job

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Dissertations / Theses

Academic literature on the topic 'Parallel job'

Author: Grafiati

Published: 25 May 2024

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Dissertations / Theses on the topic "Parallel job"

1

Sabin, Gerald M. "Unfairness in parallel job scheduling." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164826017.

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2

Islam, Mohammad Kamrul. "QoS In Parallel Job Scheduling." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218566682.

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3

Wing, A. J. "Parallel simulation of PCB job shops." Thesis, University of East Anglia, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359342.

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4

Lynch, Gerard. "Parallel job scheduling on heterogeneous networks of multiprocessor workstations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0006/MQ45952.pdf.

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5

Ali, Syed Zeeshan. "An investigation into parallel job scheduling using service level agreements." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/an-investigation-into-parallel-job-scheduling-using-service-level-agreements(f4685321-374e-41c4-86da-d07f09ea4bac).html.

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A scheduler, as a central components of a computing site, aggregates computing resources and is responsible to distribute the incoming load (jobs) between the resources. Under such an environment, the optimum performance of the system against the service level agreement (SLA) based workloads, can be achieved by calculating the priority of SLA bound jobs using integrated heuristic. The SLA defines the service obligations and expectations to use the computational resources. The integrated heuristic is the combination of different SLA terms. It combines the SLA terms with a specific weight for ea

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6

Li, Jianqing. "A parallel approach for solving a multiple machine job sequencing problem." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60235.pdf.

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7

Zhou, Huajun. "The CON Job scheduling problem on a single and parallel machines /." Electronic version (PDF), 2003. http://dl.uncw.edu/etd/2003/zhouh/huajunzhou.pdf.

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8

Vélez, Gallego Mario César. "Algorithms for Scheduling Parallel Batch Processing Machines with Non-Identical Job Ready Times." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/276.

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This research is motivated by a practical application observed at a printed circuit board (PCB) manufacturing facility. After assembly, the PCBs (or jobs) are tested in environmental stress screening (ESS) chambers (or batch processing machines) to detect early failures. Several PCBs can be simultaneously tested as long as the total size of all the PCBs in the batch does not violate the chamber capacity. PCBs from different production lines arrive dynamically to a queue in front of a set of identical ESS chambers, where they are grouped into batches for testing. Each line delivers PCBs that va

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9

Hulett, Maria. "Analytical Approximations to Predict Performance Measures of Manufacturing Systems with Job Failures and Parallel Processing." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/167.

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Parallel processing is prevalent in many manufacturing and service systems. Many manufactured products are built and assembled from several components fabricated in parallel lines. An example of this manufacturing system configuration is observed at a manufacturing facility equipped to assemble and test web servers. Characteristics of a typical web server assembly line are: multiple products, job circulation, and paralleling processing. The primary objective of this research was to develop analytical approximations to predict performance measures of manufacturing systems with job failures and

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10

Khan, Mukhtaj. "Hadoop performance modeling and job optimization for big data analytics." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11078.

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Big data has received a momentum from both academia and industry. The MapReduce model has emerged into a major computing model in support of big data analytics. Hadoop, which is an open source implementation of the MapReduce model, has been widely taken up by the community. Cloud service providers such as Amazon EC2 cloud have now supported Hadoop user applications. However, a key challenge is that the cloud service providers do not a have resource provisioning mechanism to satisfy user jobs with deadline requirements. Currently, it is solely the user responsibility to estimate the require amo

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