Suchergebnisse - "Task computing"

Achieving reliability and fairness in online task computing environments

Thesis Advisors: Fernández Anta, Antonio, Sánchez Sánchez, Ángel, Universidad Carlos III de Madrid. Departamento de Matemáticas, IMDEA Networks Institute

Schlagwörter: Internet-based task computing system, Masterworker task computing system, Online task computing environment, Reliability, Matemáticas, Telecomunicaciones

Zugangs-URL: http://hdl.handle.net/10016/25132

The Use of Algorithmic Skeletons to Design Actor-Based Parallel Algorithms

Autoren: Sergey Vostokin Irina Bobyleva

Quelle: Современные информационные технологии и IT-образование, Vol 16, Iss 1, Pp 64-71 (2020)

Schlagwörter: parallel computing model, algorithmic skeleton, parallel algorithm, actor model, work-flow, many-task computing, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://sitito.cs.msu.ru/index.php/SITITO/article/view/617; https://doaj.org/toc/2411-1473

Zugangs-URL: https://doaj.org/article/b009168fdbd2494b804ea7d38f7576a1

Multi-round Master-Worker Computing: A Repeated Game Approach

Autoren: Fernández Anta, Antonio Georgiou, Chryssis Mosteiro, Miguel A. et al.

Weitere Verfasser: Fernández Anta, Antonio Georgiou, Chryssis Mosteiro, Miguel A. et al.

Quelle: IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
Proceedings of the IEEE Symposium on Reliable Distributed Systems
35th IEEE International Symposium on Reliable Distributed Systems, SRDS 2016

Schlagwörter: FOS: Computer and information sciences, Computation theory, Algorithmic Mechanism Design, Master-Worker Task Computing, Computer games, Repeated Games, 0102 computer and information sciences, 02 engineering and technology, Strategic choice, 01 natural sciences, Computation costs, Long-term interaction, Game Theory, Computer Science - Distributed, Parallel, and Cluster Computing, Task computing, Computer Science - Computer Science and Game Theory, Reinforcement learning, 8. Economic growth, Machine design, Internet Computing, 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), Parameter conditions, Computer Science and Game Theory (cs.GT)

Zugangs-URL: http://arxiv.org/pdf/1508.05769
http://arxiv.org/abs/1508.05769
http://hdl.handle.net/20.500.12761/237
https://ieeexplore.ieee.org/document/7794327/
http://eprints.networks.imdea.org/1355/
http://ui.adsabs.harvard.edu/abs/2015arXiv150805769F/abstract
https://dblp.uni-trier.de/db/conf/srds/srds2016.html#AntaGMP16
http://ieeexplore.ieee.org/document/7794327/
http://gnosis.library.ucy.ac.cy/handle/7/53928

Coordinated cooperative task computing using crash-prone processors with unreliable multicast

Autoren: Davtyan, S. De Prisco, R. Georgiou, Chryssis et al.

Weitere Verfasser: Davtyan, S. De Prisco, R. Georgiou, Chryssis et al.

Quelle: Journal of Parallel and Distributed Computing
J.Parallel Distrib.Comput.

Schlagwörter: Crash faults, Fault-tolerant distributed algorithms, Task computing, Unreliable multicast, Theoretical Computer Science, Software, Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Experimental evaluation, Multicasting, 0102 computer and information sciences, 01 natural sciences, Message passing, Distributed platforms, Cooperative tasks, Message passing algorithm, 0101 mathematics, Reliable Multicast, Fault-tolerant

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0743731517302022
https://augusta.pure.elsevier.com/en/publications/coordinated-cooperative-task-computing-using-crash-prone-processo
https://core.ac.uk/display/95825809
https://dblp.uni-trier.de/db/journals/jpdc/jpdc109.html#DavtyanPGHS17
http://www.elsevier.com/inca/publications/store/6/2/2/8/9/5/index.htt
https://doi.org/10.1016/j.jpdc.2017.06.013
https://hdl.handle.net/11386/4694807
http://gnosis.library.ucy.ac.cy/handle/7/53807

A Hybrid Scheduler for Many Task Computing in Big Data Systems

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

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

Schlagwörter: 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

Zugangs-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

MANY-TASK COMPUTING ON MANY-CORE ARCHITECTURES

Autoren: Valero-Lara, Pedro Nookala, Poornima Pelayo, Fernando L. et al.

Quelle: Scalable computing. 17(1):33-46

Schlagwörter: Parallel Computing, Multi-Task Computing, Many-Core, GPU, Intel Xeon Phi, CUDA, OpenMP

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185655

Coordinated Cooperative Work Using Undependable Processors with Unreliable Broadcast

Autoren: Davtyan, S. Prisco, R. D. Georgiou, Chryssis et al.

Weitere Verfasser: Davtyan, S. Prisco, R. D. Georgiou, Chryssis et al.

Quelle: Proceedings-2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014
2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014

Schlagwörter: distributed algorithms, Massive parallelism, Parallel algorithms, 4. Education, Parallel processing systems, Effective approaches, Fault tolerance, 0102 computer and information sciences, task computing, 01 natural sciences, Distributed environments, fault-tolerance, Distributed cooperative work, processor crashes, Extensive simulations, unreliable broadcast, Message passing algorithm, 0101 mathematics, Algorithms

Zugangs-URL: https://augusta.pure.elsevier.com/en/publications/coordinated-cooperative-work-using-undependable-processors-with-u
https://dblp.uni-trier.de/db/conf/pdp/pdp2014.html#DavtyanPGS14
http://ieeexplore.ieee.org/document/6787248/
http://www.engr.uconn.edu/~sad06005/pubs/Conference/pdp14.pdf
https://doi.org/10.1109/PDP.2014.11
https://ieeexplore.ieee.org/document/6787248/
http://gnosis.library.ucy.ac.cy/handle/7/53808

A cloudification methodology for multidimensional analysis: Implementation and application to a railway power simulator

Autoren: Jesús Carretero Pérez Félix García-Carballeira Alberto García Fernández et al.

Weitere Verfasser: Jesús Carretero Pérez Félix García-Carballeira Alberto García Fernández et al.

Quelle: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
instname

Schlagwörter: Informática, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, MapReduce, Railway simulator, Many-task computing, 02 engineering and technology, 15. Life on land, 7. Clean energy, Migration

Dateibeschreibung: application/pdf

Zugangs-URL: https://e-archivo.uc3m.es/bitstream/10016/33769/1/Cloudification_SMPT_2015_ps.pdf
https://hdl.handle.net/10016/33769
http://hdl.handle.net/10016/33769
https://doi.org/10.1016/j.simpat.2015.04.002

MOMTH: multi-objective scheduling algorithm of many tasks in Hadoop

Autoren: Nita, Mihaela-Catalina Pop, Florin Voicu, Cristiana et al.

Weitere Verfasser: Nita, Mihaela-Catalina Pop, Florin Voicu, Cristiana et al.

Quelle: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: task scheduling, Computació en núvol, cloud computing, Macrodades, Llenguatges de programació, Programming languages (Electronic computers), 02 engineering and technology, Àrees temàtiques de la UPC::Informàtica::Programació, Big data, data centers, Hadoop, big data, Apache Hadoop (Programes d'ordinador), networks, Apache Hadoop, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, MapReduce, multiprocessor tasks, many task computing, Informàtica::Programació [Àrees temàtiques de la UPC]

Dateibeschreibung: application/pdf

Zugangs-URL: https://upcommons.upc.edu/bitstream/2117/81230/6/cluster_momth.pdf
http://hdl.handle.net/2117/81230
https://link.springer.com/article/10.1007/s10586-015-0454-8
https://dblp.uni-trier.de/db/journals/cluster/cluster18.html#NitaPVDX15
https://rd.springer.com/article/10.1007/s10586-015-0454-8
https://link.springer.com/article/10.1007/s10586-015-0454-8/fulltext.html
https://upcommons.upc.edu/handle/2117/81230
https://core.ac.uk/display/41825613
https://hdl.handle.net/2117/81230
https://doi.org/10.1007/s10586-015-0454-8

Internet Computing: Using Reputation to Select Workers from a Pool

Autoren: Christoforou, Evgenia Fernández Anta, Antonio Georgiou, Chryssis et al.

Weitere Verfasser: Christoforou, Evgenia Fernández Anta, Antonio Georgiou, Chryssis et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783319461397
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
4th International Conference on Networked Systems, NETYS 2016
Lect. Notes Comput. Sci.
arXiv.org e-Print Archive

Schlagwörter: FOS: Computer and information sciences, Internet, reinforcement learning, Economic and social effects, worker reliability, reputation, Pool of workers, Worker reliability, 02 engineering and technology, Supercomputers, task computing, worker unresponsiveness, Distributed computer systems, Lakes, Computer Science - Distributed, Parallel, and Cluster Computing, Task computing, Computer Science - Computer Science and Game Theory, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, Volunteer computing, Distributed, Parallel, and Cluster Computing (cs.DC), pool of workers, Worker unresponsiveness, Reputation, Computer Science and Game Theory (cs.GT)

Zugangs-URL: http://arxiv.org/pdf/1603.04394
http://arxiv.org/abs/1603.04394
http://hdl.handle.net/20.500.12761/238
https://core.ac.uk/display/42691073
https://link.springer.com/chapter/10.1007%2F978-3-319-46140-3_11
https://link.springer.com/chapter/10.1007/978-3-319-46140-3_11/fulltext.html
https://rd.springer.com/chapter/10.1007/978-3-319-46140-3_11
https://dblp.uni-trier.de/db/journals/corr/corr1603.html#ChristoforouAGM16
http://eprints.networks.imdea.org/1356/
http://gnosis.library.ucy.ac.cy/handle/7/53736

Resource Profiling and Performance Modeling for Distributed Scientific Computing Environments

Autoren: Md Azam Hossain Soonwook Hwang Jik-Soo Kim

Quelle: Applied Sciences, Vol 12, Iss 9, p 4797 (2022)
Applied Sciences; Volume 12; Issue 9; Pages: 4797

Schlagwörter: supercomputing, Technology, QH301-705.5, Physics, QC1-999, 02 engineering and technology, distributed scientific computing, Engineering (General). Civil engineering (General), performance prediction, cluster computing, Chemistry, 0202 electrical engineering, electronic engineering, information engineering, resource profiling, virtual organization, TA1-2040, Biology (General), QD1-999, high-throughput computing, many-task computing

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/f83a71ce2d694bb09f7115c455afba21

Parameter Exploration in Science and Engineering Using Many-Task Computing

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

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

Schlagwörter: 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

Zugangs-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

A Many-Task Parallel Approach for Multiscale Simulations of Subsurface Flow and Reactive Transport

Weitere Verfasser: Tartakovsky, Alexandre

Quelle: Conference: 7th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS 2014), November 16, 2014, New Orleans, Louisiana

Dateibeschreibung: Medium: X

Zugangs-URL: http://www.osti.gov/scitech/biblio/1194329

Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics

Autoren: Christoforou, Evgenia Fernández Anta, Antonio Georgiou, Chryssis et al.

Schlagwörter: Q Science::Q Science (General), Q Science::QA Mathematics::QA75 Electronic computers. Computer science, T Technology::T Technology (General), T Technology::TA Engineering (General). Civil engineering (General), T Technology::TK Electrical engineering. Electronics Nuclear engineering, Internet-based task computing, Evolutionary dynamics, Re- inforcement learning, Algorithmic mechanism design

Relation: http://hdl.handle.net/20.500.12761/1083

Verfügbarkeit: https://hdl.handle.net/20.500.12761/1083

An Application-Level Scheduling with Task Bundling Approach for Many-Task Computing in Heterogeneous Environments

Autoren: Xiao, Jian Zhang, Yu Chen, Shuwei et al.

Weitere Verfasser: Xiao, Jian Zhang, Yu Chen, Shuwei et al.

Quelle: Lecture Notes in Computer Science ; 9th International Conference on Network and Parallel Computing (NPC) ; https://inria.hal.science/hal-01551355 ; 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. pp.1-13, ⟨10.1007/978-3-642-35606-3_1⟩

Schlagwörter: application-level scheduling, many task computing, task bundling, traditional scheduling heuristics, [INFO]Computer Science [cs]

Geographisches Schlagwort: Gwangju, South Korea

Verfügbarkeit: https://inria.hal.science/hal-01551355
https://inria.hal.science/hal-01551355v1/document
https://inria.hal.science/hal-01551355v1/file/978-3-642-35606-3_1_Chapter.pdf
https://doi.org/10.1007/978-3-642-35606-3_1

Scheduling Many-Task Computing Applications for a Hybrid Cloud

Autoren: Mithila, Shifat Perveen

Quelle: LSU Doctoral Dissertations

Schlagwörter: Cloud computing, Many-task computing, Decentralized scheduling, Cloud middleware, Computer Sciences

Dateibeschreibung: application/pdf

Relation: https://repository.lsu.edu/gradschool_dissertations/5928; https://repository.lsu.edu/context/gradschool_dissertations/article/7029/viewcontent/Mithila_diss.pdf

Verfügbarkeit: https://repository.lsu.edu/gradschool_dissertations/5928
https://doi.org/10.31390/gradschool_dissertations.5928
https://repository.lsu.edu/context/gradschool_dissertations/article/7029/viewcontent/Mithila_diss.pdf

Reputation-Based Mechanisms for Evolutionary Master-Worker Computing

Autoren: Christoforou, Evgenia Fernández Anta, Antonio Georgiou, Chryssis et al.

Weitere Verfasser: Christoforou, Evgenia Fernández Anta, Antonio Georgiou, Chryssis et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783319038490
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
17th International Conference on Principles of Distributed Systems, OPODIS 2013
Lect. Notes Comput. Sci.

Schlagwörter: reinforcement learning, Markov processes, reputation, 02 engineering and technology, Virtual reality, Distributed computer systems, Mechanism model, Task computing, Internet based, 0202 electrical engineering, electronic engineering, information engineering, Volunteer computing, Evolutionary dynamics, evolutionary game theory, Reputation schemes

Zugangs-URL: http://arxiv.org/pdf/1307.2783.pdf
http://hdl.handle.net/20.500.12761/1235
https://dblp.uni-trier.de/db/journals/corr/corr1307.html#ChristoforouAGMS13
https://doi.org/10.1007/978-3-319-03850-6_8
https://link.springer.com/10.1007/978-3-319-03850-6_8
https://rd.springer.com/chapter/10.1007/978-3-319-03850-6_8
https://link.springer.com/chapter/10.1007/978-3-319-03850-6_8
http://eprints.networks.imdea.org/634/
http://gnosis.library.ucy.ac.cy/handle/7/53739

MATRIX-HPC Preliminary Results Architecture Execution Unit

Autoren: Kiran Ramamurthy Dr. Ioan Raicu The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Kiran Ramamurthy Dr. Ioan Raicu The Pennsylvania State University CiteSeerX Archives

Quelle: http://datasys.cs.iit.edu/reports/2014_GCASR14_poster-matrix-hpc-scheduling.pdf.

Schlagwörter: Task Computing Execution Fabric for

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.7501

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.7501
http://datasys.cs.iit.edu/reports/2014_GCASR14_poster-matrix-hpc-scheduling.pdf

Lessons learned from a year’s worth of benchmarks of large data clouds

Autoren: Yunhong Gu Robert L Grossman The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Yunhong Gu Robert L Grossman The Pennsylvania State University CiteSeerX Archives

Quelle: http://pubs.rgrossman.com/dl/proc-117.pdf.

Schlagwörter: Performance, Experimentation Keywords Cloud Computing, Data Intensive Computing, High Performance Computing, Grid Computing, MapReduce, Multi-Task Computing

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.617.9116

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.617.9116
http://pubs.rgrossman.com/dl/proc-117.pdf

A computational pipeline for the IUCN risk assessment for Meso-American reef ecosystem

Autoren: Hoang Nguyen Lucie Bland Tristan Roberts et al.

Schlagwörter: Other Indigenous data, methodologies and global Indigenous studies not elsewhere classified, Distributed computing and systems software not elsewhere classified, Apache Spark, Ecosystem risk assessment, Many task computing, Scientific Workflow

Relation: 10779/rmit.27399264.v1

Verfügbarkeit: https://figshare.com/articles/conference_contribution/A_computational_pipeline_for_the_IUCN_risk_assessment_for_Meso-American_reef_ecosystem/27399264