Suchergebnisse - "Many-Task Computing"

  1. 1

    Asymptotic scheduling for many task computing in Big Data platforms von Sfrent, Andrei, Pop, Florin

    ISSN: 0020-0255
    Veröffentlicht: Elsevier Inc 20.10.2015
    Veröffentlicht in Information sciences (20.10.2015)
    “… Due to the advancement of technology the datasets that are being processed nowadays in modern computer clusters extend beyond the petabyte scale – the 4 …”
    Volltext
    Journal Article
  2. 2

    Developing political-ecological theory: The need for many-task computing von Haas, Timothy

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 24.11.2020
    Veröffentlicht in PloS one (24.11.2020)
    “… Models of political-ecological systems can inform policies for managing ecosystems that contain endangered species. To increase the credibility of these …”
    Volltext
    Journal Article
  3. 3

    Developing political-ecological theory: The need for many-task computing von Haas, Timothy, Vincenot, Christian

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: Public Library of Science 24.11.2020
    Veröffentlicht in PloS one (24.11.2020)
    Volltext
    Journal Article
  4. 4

    Developing political-ecological theory: The need for many-task computing von Haas, Timothy, Vincenot, Christian

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: Public Library of Science 24.11.2020
    Veröffentlicht in PloS one (24.11.2020)
    Volltext
    Journal Article
  5. 5

    On the role of message broker middleware for many-task computing on a big-data platform von Nguyen, Cao Ngoc, Lee, Jaehwan, Hwang, Soonwook, Kim, Jik-Soo

    ISSN: 1386-7857, 1573-7543
    Veröffentlicht: New York Springer US 01.01.2019
    Veröffentlicht in Cluster computing (01.01.2019)
    “… We have designed and implemented a new data processing framework called “Many-task computing On HAdoop” (MOHA …”
    Volltext
    Journal Article
  6. 6

    Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model von Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing

    ISSN: 0920-8542, 1573-0484
    Veröffentlicht: New York Springer US 06.02.2019
    Veröffentlicht in The Journal of supercomputing (06.02.2019)
    “… Based on many-task computing, we proposed a parallel scheme that the whole computing of the distributed hydrological model is split into tremendous amount of small sub-tasks which are directly …”
    Volltext
    Journal Article
  7. 7

    Efficient algorithms for frequent pattern mining in many-task computing environments von Lin, Kawuu W., Lo, Yu-Chin

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 01.09.2013
    Veröffentlicht in Knowledge-based systems (01.09.2013)
    “… However, most studies have focused on improving the performance for a single task and have neglected the many-task computing issue, which is important in the current cloud-computing environments …”
    Volltext
    Journal Article
  8. 8

    Parameter Exploration in Science and Engineering Using Many-Task Computing von Abramson, D, Bethwaite, B, Enticott, C, Garic, S, Peachey, T

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.06.2011
    “… Many-Task Computing (MTC) provides a framework for performing robust design, because it supports the execution of a large number of otherwise independent processes …”
    Volltext
    Journal Article
  9. 9

    A Data Throughput Prediction and Optimization Service for Widely Distributed Many-Task Computing von Dengpan Yin, Yildirim, E, Kulasekaran, S, Ross, B, Kosar, T

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.06.2011
    “… In this paper, we present the design and implementation of an application-layer data throughput prediction and optimization service for many-task computing in widely distributed environments …”
    Volltext
    Journal Article
  10. 10

    A Hybrid Scheduler for Many Task Computing in Big Data Systems von Vasiliu, Laura, Pop, Florin, Negru, Catalin, Mocanu, Mariana, Cristea, Valentin, Kolodziej, Joanna

    ISSN: 2083-8492, 1641-876X, 2083-8492
    Veröffentlicht: Zielona Góra Sciendo 27.06.2017
    “… but also efficient scheduling algorithms. This paper focuses on providing a hybrid scheduling algorithm for many task computing that addresses big data environments with few penalties, taking into consideration the deadlines and satisfying …”
    Volltext
    Journal Article
  11. 11

    Middleware support for many-task computing von Raicu, Ioan, Foster, Ian, Wilde, Mike, Zhang, Zhao, Iskra, Kamil, Beckman, Peter, Zhao, Yong, Szalay, Alex, Choudhary, Alok, Little, Philip, Moretti, Christopher, Chaudhary, Amitabh, Thain, Douglas

    ISSN: 1386-7857, 1573-7543
    Veröffentlicht: Boston Springer US 01.09.2010
    Veröffentlicht in Cluster computing (01.09.2010)
    “… Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing …”
    Volltext
    Journal Article
  12. 12

    A fast and low idle time method for mining frequent patterns in distributed and many-task computing environments von Lin, Chun-Cheng, Chung, Sheng-Hao, Chen, Ju-Chin, Yu, Yuan-Tse, Lin, Kawuu W.

    ISSN: 0926-8782, 1573-7578
    Veröffentlicht: New York Springer US 01.12.2018
    “… technology to improve mining processing time in many-task computing, thereby bridging the gap …”
    Volltext
    Journal Article
  13. 13

    Many Task Computing for Real-Time Uncertainty Prediction and Data Assimilation in the Ocean von Evangelinos, C, Lermusiaux, P F J, Jinshan Xu, Haley, P J, Hill, C N

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.06.2011
    “… Many-Task Computing can play a significant role in making such predictions feasible. In this manuscript, we focus on ocean uncertainty prediction using the Error Subspace Statistical Estimation (ESSE) approach …”
    Volltext
    Journal Article
  14. 14

    Efficient Task Scheduling for Many Task Computing with Resource Attribute Selection von Zhao, Yong, Chen, Liang, Li, Youfu, Tian, Wenhong

    ISSN: 1673-5447
    Veröffentlicht: China Institute of Communications 01.12.2014
    Veröffentlicht in China communications (01.12.2014)
    “… Many Task Computing(MTC)is a new class of computing paradigm in which the aggregate number of tasks,quantity of computing,and volumes of data may be extremely …”
    Volltext
    Journal Article
  15. 15

    Guest Editors' Introduction: Special Section on Many-Task Computing von Raicu, Ioan, Foster, Ian T., Zhao, Yong

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.06.2011
    Volltext
    Journal Article
  16. 16

    Scheduling Many-Task Computing Applications for a Hybrid Cloud von Mithila, Shifat Perveen

    ISBN: 9798352649749
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2022
    “… A centralized scheduler can become a bottleneck for placing the tasks of a many-task application on heterogeneous cloud resources. Previously, it was …”
    Volltext
    Dissertation
  17. 17
  18. 18

    Many-task computing for grids and supercomputers von Raicu, I., Foster, I.T., Yong Zhao

    ISBN: 1424428726, 9781424428724
    ISSN: 2151-1683
    Veröffentlicht: IEEE 01.11.2008
    “… Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing …”
    Volltext
    Tagungsbericht
  19. 19

    Many task computing for orthologous genes identification in protozoan genomes using Hydra von Coutinho, Fábio, Ogasawara, Eduardo, de Oliveira, Daniel, Braganholo, Vanessa, Lima, Alexandre A.B., Dávila, Alberto M.R., Mattoso, Marta

    ISSN: 1532-0626, 1532-0634, 1532-0634
    Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 10.12.2011
    Veröffentlicht in Concurrency and computation (10.12.2011)
    “… Such challenges may become a complex task to be accomplished in bioinformatics experiments, particularly in Many Task Computing scenarios …”
    Volltext
    Journal Article
  20. 20

    The scaling of many-task computing approaches in python on cluster supercomputers von Lunacek, Monte, Braden, Jazcek, Hauser, Thomas

    ISSN: 1552-5244
    Veröffentlicht: IEEE 01.09.2013
    “… We compare two packages for performing many-task computing (MTC) in Python: IPython Parallel and Celery …”
    Volltext
    Tagungsbericht