Search Results - "Many-Task Computing"

Research on Automatic Optimization Technology of Container Intra-parallelism for Many-Task Computing in the Cloud

Authors: Hyeock-Jin Lee Jik-Soo Kim

Source: KIISE Transactions on Computing Practices. 30:549-554

A Hybrid Scheduler for Many Task Computing in Big Data Systems

Authors: Vasiliu, Laura Pop, Florin Negru, Catalin et al.

Source: International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 2, Pp 385-399 (2017)
International Journal of Applied Mathematics and Computer Science

Subject Terms: scheduling heuristics, Electronic computers. Computer science, big data systems, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, qos, QA75.5-76.95, 02 engineering and technology, simulation, many task computing, Mathematics

Access URL: https://www.sciendo.com/pdf/10.1515/amcs-2017-0027
https://doaj.org/article/2133493f5bf747ba9e76fec8e94d529f
https://sciendo.com/article/10.1515/amcs-2017-0027
https://content.sciendo.com/view/journals/amcs/27/2/article-p385.xml
https://doi.org/10.1515/amcs-2017-0027
https://suw.biblos.pk.edu.pl/resourceDetailsBPP&rId=82856
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-c2a5ded3-9403-47fb-ae05-b8a46b14bd2e
https://core.ac.uk/display/88347930

A lightweight CaaS private cloud architecture and models for many task computing

Authors: Pengfei Liu Yiyi Xu Jun Zhao

Source: 2019 14th International Conference on Computer Science & Education (ICCSE). :92-96

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/iccse2/iccse2019.html#XuLZ19
https://eprints.ncl.ac.uk/260047

A Study on the Application Execution Optimization of Many-Task Computing on Hadoop

Authors: Jik-Soo Kim Jin-young Choi Dae-Cheol Kang

Source: KIISE Transactions on Computing Practices. 25:585-593

Access URL: http://kiise.or.kr/e_journal/2019/12/KTCP/pdf/02.pdf

Parameter Exploration in Science and Engineering Using Many-Task Computing

Authors: Abramson, David Bethwaite, Blair Enticott, Colin et al.

Source: IEEE Transactions on Parallel and Distributed Systems. 22:960-973

Subject Terms: Scientific workflows, 1708 Hardware and Architecture, Parameter exploration, 0202 electrical engineering, electronic engineering, information engineering, 1711 Signal Processing, Kepler, 02 engineering and technology, 14. Life underwater, Heterogeneity, 7. Clean energy, Many task computing, 1703 Computational Theory and Mathematics

Access URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.8436
https://ieeexplore.ieee.org/document/5611495
http://ieeexplore.ieee.org/document/5611495/
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005611495
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005611495
https://dblp.uni-trier.de/db/journals/tpds/tpds22.html#AbramsonBEGP11
https://www.computer.org/csdl/trans/td/2011/06/ttd2011060960.pdf

On the role of message broker middleware for many-task computing on a big-data platform

Authors: Cao Ngoc Nguyen Jaehwan Lee Soonwook Hwang et al.

Source: Cluster Computing. 22:2527-2540

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/cluster/cluster22.html#NguyenLHK19
https://link.springer.com/article/10.1007/s10586-018-2634-9

Enabling Docker Containers for High-Performance and Many-Task Computing

Authors: Azab, Abdulrahman

Source: 2017 IEEE International Conference on Cloud Engineering (IC2E)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/7923813/
http://dblp.uni-trier.de/db/conf/ic2e/ic2e2017.html#Azab17
https://www.computer.org/csdl/proceedings-article/ic2e/2017/07923813/12OmNz5apB0

A fast and low idle time method for mining frequent patterns in distributed and many-task computing environments

Authors: Chun-Cheng Lin Sheng-Hao Chung Ju-Chin Chen et al.

Source: Distributed and Parallel Databases. 36:613-641

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://scholar.nycu.edu.tw/en/publications/a-fast-and-low-idle-time-method-for-mining-frequent-patterns-in-d
https://dblp.uni-trier.de/db/journals/dpd/dpd36.html#LinCCYL18
https://ir.nctu.edu.tw:443/handle/11536/148170
https://link.springer.com/article/10.1007/s10619-018-7221-9

A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop

Authors: Jik-Soo Kim Jaehwan Lee Cao Nguyen et al.

Source: 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W). :257-262

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8064132/
https://dblp.uni-trier.de/db/conf/saso/fasw2017.html#NguyenKLH17

Automated job flow generation to provide object views in container-supported many task computing

Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model

Authors: Lajiao Chen Weijing Song Yan Ma et al.

Source: The Journal of Supercomputing. 75:510-532

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dl.acm.org/doi/10.1007/s11227-017-2047-1
https://doi.org/10.1007/s11227-017-2047-1
https://dblp.uni-trier.de/db/journals/tjs/tjs75.html#YueMCWS19
https://link.springer.com/article/10.1007/s11227-017-2047-1

MOHA: Many-task computing meets the big data platform

Authors: Soonwook Hwang Cao Nguyen Jik-Soo Kim

Source: 2016 IEEE 12th International Conference on e-Science (e-Science). :193-202

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/eScience/eScience2016.html#KimNH16

Message queue protocol for sequential execution of related task routines in many task computing

AUTOMATED VIRTUAL MACHINE RESOURCE MANAGEMENT IN CONTAINER-SUPPORTED MANY TASK COMPUTING

Automated Job Flow Generation to Provide Object Views in Container-Supported Many Task Computing

Automated job flow cancellation for multiple task routine instance errors in many task computing

Data object preparation for execution of multiple task routine instances in many task computing

Automated virtual machine resource management in container-supported many task computing

Automated Job Flow Cancellation for Multiple Task Routine Instance Errors in Many Task Computing

Improving Many-Task computing in scientific workflows using P2P techniques

Authors: Dias, Jonas Ogasawara, Eduardo Oliveira, Daniel De et al.

Contributors: Dias, Jonas Ogasawara, Eduardo Oliveira, Daniel De et al.

Source: 2010 3rd Workshop on Many-Task Computing on Grids and Supercomputers. :1-10

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], 02 engineering and technology

File Description: application/pdf

Access URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00641008/file/paper07-1.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00641008v1
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005699430
http://ieeexplore.ieee.org/document/5699430/
https://ieeexplore.ieee.org/document/5699430/
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00641008/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00641008
https://dblp.uni-trier.de/db/conf/sc/mtags2010.html#DiasO0PM10