Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Marek Tudruj"'
Autor:
Adam Smyk, Marek Tudruj
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcae13a8d604ef3ed3a3f06fcc8c1fa
https://doi.org/10.1002/cpe.6052
https://doi.org/10.1002/cpe.6052
Autor:
Marek Tudruj, Anna Sasak-Okoń
Publikováno v:
IDEAS
The paper presents an insight into a speculative execution model of queries in RDBMS based on the analysis of the stream of current queries appearing at the database input. A specific multigraph representation of input query stream is created and use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c530fb3f33eaf24983da35021dce07
https://doi.org/10.1145/3410566.3410604
https://doi.org/10.1145/3410566.3410604
Autor:
Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Ivanoe De Falco, Marek Tudruj
Publikováno v:
GECCO Companion
GECCO '20: Genetic and Evolutionary Computation Conference
GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.1712-1720, ⟨10.1145/3377929.3398134⟩
2020 Genetic and Evolutionary Computation Conferenc, pp. 1712–1720, Cancun, Mexico, 8-12/07/2020
info:cnr-pdr/source/autori:Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj/congresso_nome:2020 Genetic and Evolutionary Computation Conferenc/congresso_luogo:Cancun, Mexico/congresso_data:8-12%2F07%2F2020/anno:2020/pagina_da:1712/pagina_a:1720/intervallo_pagine:1712–1720
GECCO '20: Genetic and Evolutionary Computation Conference
GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.1712-1720, ⟨10.1145/3377929.3398134⟩
2020 Genetic and Evolutionary Computation Conferenc, pp. 1712–1720, Cancun, Mexico, 8-12/07/2020
info:cnr-pdr/source/autori:Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj/congresso_nome:2020 Genetic and Evolutionary Computation Conferenc/congresso_luogo:Cancun, Mexico/congresso_data:8-12%2F07%2F2020/anno:2020/pagina_da:1712/pagina_a:1720/intervallo_pagine:1712–1720
This paper is focused on the methodology for using the parallel multi-objective Extremal Optimization in load balancing algorithms for distributed systems. In the proposed approach, parallel multi-objective Extremal Optimization algorithms define tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4d2d63d53960fb73f47301c5ba90efd
https://doi.org/10.1145/3377929.3398134
https://doi.org/10.1145/3377929.3398134
Autor:
Ivanoe De Falco, Umberto Scafuri, Marek Tudruj, Ernesto Tarantino, Eryk Laskowski, Richard Olejnik
Publikováno v:
2020 19th International Symposium on Parallel and Distributed Computing (ISPDC)
2020 19th International Symposium on Parallel and Distributed Computing (ISPDC), Jul 2020, Warsaw, Poland. pp.134-141, ⟨10.1109/ISPDC51135.2020.00027⟩
ISPDC
19th International Symposium on Parallel and Distributed Computing, pp. 134–141, Warsaw, Poland, 5-8/07/2020
info:cnr-pdr/source/autori:De Falco I.; Laskowski E.; Olejnik R.; Scafuri U.; Tarantino E.; Tudruj M./congresso_nome:19th International Symposium on Parallel and Distributed Computing/congresso_luogo:Warsaw, Poland/congresso_data:5-8%2F07%2F2020/anno:2020/pagina_da:134/pagina_a:141/intervallo_pagine:134–141
2020 19th International Symposium on Parallel and Distributed Computing (ISPDC), Jul 2020, Warsaw, Poland. pp.134-141, ⟨10.1109/ISPDC51135.2020.00027⟩
ISPDC
19th International Symposium on Parallel and Distributed Computing, pp. 134–141, Warsaw, Poland, 5-8/07/2020
info:cnr-pdr/source/autori:De Falco I.; Laskowski E.; Olejnik R.; Scafuri U.; Tarantino E.; Tudruj M./congresso_nome:19th International Symposium on Parallel and Distributed Computing/congresso_luogo:Warsaw, Poland/congresso_data:5-8%2F07%2F2020/anno:2020/pagina_da:134/pagina_a:141/intervallo_pagine:134–141
Multi-objective algorithms based on nature-inspired approach of Extremal optimization (EO) used in distributed processor load balancing have been studied in the paper. EO defines task migration aiming at processor load balancing in execution of graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b0d41b3b051b9679bc34af950ad649
https://hal.science/hal-03034707
https://hal.science/hal-03034707
Autor:
Marek Tudruj
Publikováno v:
2020 19th International Symposium on Parallel and Distributed Computing (ISPDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20249583e4b333e35c06217e262705f6
https://doi.org/10.1109/ispdc51135.2020.00002
https://doi.org/10.1109/ispdc51135.2020.00002
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432287
PPAM (1)
PPAM (1)
The paper concerns the use of global application states monitoring in distributed programs for advanced graph partitioning optimization. Two strategies for the control design of advanced parallel/distributed graph partitioning algorithms are presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20523ac9e61733621d83d2eff1fcd632
https://doi.org/10.1007/978-3-030-43229-4_24
https://doi.org/10.1007/978-3-030-43229-4_24
Autor:
Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2, 4
Publikováno v:
Internet and Distributed Computing Systems
Montella R.; Ciaramella A.; Fortino G.; Guerrieri A.; Liotta A. (eds). Internet and Distributed Computing Systems, vol 11874, Springer, Cham, pp.158-168, 2019, Lecture Notes in Computer Science & Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11874), 978-3-030-34913-4. ⟨10.1007/978-3-030-34914-1_16⟩
International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019), pp. 158–168, Naples, Italy, 10-12/10/2019
info:cnr-pdr/source/autori:Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2,4/congresso_nome:International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019)/congresso_luogo:Naples, Italy/congresso_data:10-12%2F10%2F2019/anno:2019/pagina_da:158/pagina_a:168/intervallo_pagine:158–168
Internet and Distributed Computing Systems ISBN: 9783030349134
IDCS
Montella R.; Ciaramella A.; Fortino G.; Guerrieri A.; Liotta A. (eds). Internet and Distributed Computing Systems, vol 11874, Springer, Cham, pp.158-168, 2019, Lecture Notes in Computer Science & Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11874), 978-3-030-34913-4. ⟨10.1007/978-3-030-34914-1_16⟩
International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019), pp. 158–168, Naples, Italy, 10-12/10/2019
info:cnr-pdr/source/autori:Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2,4/congresso_nome:International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019)/congresso_luogo:Naples, Italy/congresso_data:10-12%2F10%2F2019/anno:2019/pagina_da:158/pagina_a:168/intervallo_pagine:158–168
Internet and Distributed Computing Systems ISBN: 9783030349134
IDCS
International audience; The paper proposes and discusses distributed processor load balancing algorithms which are based on nature inspired approach of multi-objective Extremal Optimization. Extremal Optimization is used for defining task migration a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6371420fc5e8393e4e7db7f7a3f0085
https://inria.hal.science/hal-02416798
https://inria.hal.science/hal-02416798
Autor:
Richard Olejnik, Marek Tudruj, Ivanoe De Falco, Eryk Laskowski, Ernesto Tarantino, Umberto Scafuri
Publikováno v:
Applied Soft Computing
Applied Soft Computing, 2016, 46, pp.16. ⟨10.1016/j.asoc.2016.04.033⟩
Elsevier
Applied Soft Computing, Elsevier, 2016, 46, pp.16. ⟨10.1016/j.asoc.2016.04.033⟩
Applied soft computing
46 (2016): 187–203. doi:10.1016/j.asoc.2016.04.033
info:cnr-pdr/source/autori:De Falco I.; Laskowski E.; Olejnik R.; Scafuri U.; Tarantino E.; Tudruj M./titolo:Parallel extremal optimization in processor load balancing for distributed applications/doi:10.1016%2Fj.asoc.2016.04.033/rivista:Applied soft computing (Print)/anno:2016/pagina_da:187/pagina_a:203/intervallo_pagine:187–203/volume:46
Applied Soft Computing, 2016, 46, pp.16. ⟨10.1016/j.asoc.2016.04.033⟩
Elsevier
Applied Soft Computing, Elsevier, 2016, 46, pp.16. ⟨10.1016/j.asoc.2016.04.033⟩
Applied soft computing
46 (2016): 187–203. doi:10.1016/j.asoc.2016.04.033
info:cnr-pdr/source/autori:De Falco I.; Laskowski E.; Olejnik R.; Scafuri U.; Tarantino E.; Tudruj M./titolo:Parallel extremal optimization in processor load balancing for distributed applications/doi:10.1016%2Fj.asoc.2016.04.033/rivista:Applied soft computing (Print)/anno:2016/pagina_da:187/pagina_a:203/intervallo_pagine:187–203/volume:46
Graphical abstractDisplay Omitted The paper concerns parallel methods for extremal optimization (EO) applied in processor load balancing in execution of distributed programs. In these methods EO algorithms detect an optimized strategy of tasks migrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b6f449c3a9a0eeaa309239e802e100
https://doi.org/10.1016/j.asoc.2016.04.033
https://doi.org/10.1016/j.asoc.2016.04.033
Autor:
Marek Tudruj, Łukasz Maśko
Publikováno v:
Concurrency and Computation: Practice and Experience. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e40588beb469eb2e0b402057b365078
https://doi.org/10.1002/cpe.5015
https://doi.org/10.1002/cpe.5015
Autor:
Ernesto Tarantino, Umberto Scafuri, Richard Olejnik, Ivanoe De Falco, Eryk Laskowski, Marek Tudruj
Publikováno v:
the Genetic and Evolutionary Computation Conference Companion
the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1292-1299
GECCO (Companion)
GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1292–1299, Kyoto, Japan, July 15-19, 2018
info:cnr-pdr/source/autori:De Falco I.; Scafuri U.; Laskowski E.; Tarantino E.; Olejnik R.; Tudruj M./congresso_nome:GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion/congresso_luogo:Kyoto, Japan/congresso_data:July 15-19, 2018/anno:2018/pagina_da:1292/pagina_a:1299/intervallo_pagine:1292–1299
the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1292-1299
GECCO (Companion)
GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1292–1299, Kyoto, Japan, July 15-19, 2018
info:cnr-pdr/source/autori:De Falco I.; Scafuri U.; Laskowski E.; Tarantino E.; Olejnik R.; Tudruj M./congresso_nome:GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion/congresso_luogo:Kyoto, Japan/congresso_data:July 15-19, 2018/anno:2018/pagina_da:1292/pagina_a:1299/intervallo_pagine:1292–1299
The paper presents how Extremal Optimization can be used in a parallel multi-objective load balancing algorithm applied in execution of distributed programs. Extremal Optimization is used to find task migration which dynamically improves processor lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6020c53dccca36c03260ea011307cc6e
https://hal.science/hal-02003255
https://hal.science/hal-02003255