A recursive pattern recognition approach to selection web services in cloud environment
There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. This work proposes the adaptation of a pattern recognition model based on the...
- Autores:
-
Adarme Jaimes, Marco Antonio
Jimeno, Miguel
Puerto Cuadros, Eduard Gilberto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/461
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/461
https://doi.org/10.1088/1742-6596/1513/1/012004
- Palabra clave:
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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A recursive pattern recognition approach to selection web services in cloud environment |
| title |
A recursive pattern recognition approach to selection web services in cloud environment |
| spellingShingle |
A recursive pattern recognition approach to selection web services in cloud environment |
| title_short |
A recursive pattern recognition approach to selection web services in cloud environment |
| title_full |
A recursive pattern recognition approach to selection web services in cloud environment |
| title_fullStr |
A recursive pattern recognition approach to selection web services in cloud environment |
| title_full_unstemmed |
A recursive pattern recognition approach to selection web services in cloud environment |
| title_sort |
A recursive pattern recognition approach to selection web services in cloud environment |
| dc.creator.fl_str_mv |
Adarme Jaimes, Marco Antonio Jimeno, Miguel Puerto Cuadros, Eduard Gilberto |
| dc.contributor.author.none.fl_str_mv |
Adarme Jaimes, Marco Antonio Jimeno, Miguel Puerto Cuadros, Eduard Gilberto |
| description |
There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. This work proposes the adaptation of a pattern recognition model based on the systematic functioning of the brain called Ar2p for the selection of web services in composition activities in Cloud environments. The web serice are represented as patterns to be recognized by Ar2p, which determines the necessary and sufficient web services that constitute the composition of services that meet its functional and non-functional requirements. The services composition and activity selection have been formalized through a logical-mathematical model of web service recognition mechanisms in two steps, one that describes the syntactic search of the service and the second, which offers filtering through quality of service parameters. An adaptive implementation of the final model allows its recognition modules to be provided with any desired optimization strategy. |
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2019 |
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2019-09-25 |
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2021-10-28T23:55:12Z |
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2021-10-28T23:55:12Z |
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Artículo de revista |
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https://doi.org/10.1088/1742-6596/1513/1/012004 |
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http://repositorio.ufps.edu.co/handle/ufps/461 https://doi.org/10.1088/1742-6596/1513/1/012004 |
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eng |
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eng |
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Journal of Physics: Conference Series |
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Vol.1513 No.1.(2020) |
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7 |
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1(2020) |
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Adarme, M. A., Jimeno, M. A., & Puerto, E. G. (2020, March). A recursive pattern recognition approach to selection web services in cloud environment. In Journal of Physics: Conference Series (Vol. 1513, No. 1, p. 012004). IOP Publishing. |
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Atribución 4.0 Internacional (CC BY 4.0) |
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Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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Adarme Jaimes, Marco Antonio364827d63168d535a5b7f6315210f852600Jimeno, Miguel4632df6dc54936b0dabeb14a423d307d600Puerto Cuadros, Eduard Gilbertoc201373dd70e4d814c3342495d100a216002021-10-28T23:55:12Z2021-10-28T23:55:12Z2019-09-25http://repositorio.ufps.edu.co/handle/ufps/461https://doi.org/10.1088/1742-6596/1513/1/012004There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. This work proposes the adaptation of a pattern recognition model based on the systematic functioning of the brain called Ar2p for the selection of web services in composition activities in Cloud environments. The web serice are represented as patterns to be recognized by Ar2p, which determines the necessary and sufficient web services that constitute the composition of services that meet its functional and non-functional requirements. The services composition and activity selection have been formalized through a logical-mathematical model of web service recognition mechanisms in two steps, one that describes the syntactic search of the service and the second, which offers filtering through quality of service parameters. An adaptive implementation of the final model allows its recognition modules to be provided with any desired optimization strategy.application/pdfengJournal of Physics: Conference SeriesInglaterraJournal of Physics: Conference SeriesVol.1513 No.1.(2020)71(2020)11513Adarme, M. A., Jimeno, M. A., & Puerto, E. G. (2020, March). A recursive pattern recognition approach to selection web services in cloud environment. In Journal of Physics: Conference Series (Vol. 1513, No. 1, p. 012004). IOP Publishing.Journal of Physics: Conference SeriesContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1513/1/012004/metaA recursive pattern recognition approach to selection web services in cloud environmentArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Sheng Q Z, Qiao X, Vasilakos A V, Szabo C, Bourne S and Xu X 2014 Web services composition: A decade’s overview Information Science 280 218Goettelmann E, Fdhila W and Godart C 2013 IEEE International Conference on Cloud Engineering (IC2E) (Redwood: IEEE) Partitioning and cloud deployment of composite web services under security constraints in Cloud EngineeringGuzmán Luna J A and Ovalle Carranza D A 2008 Composición de servicios: Una aplicación de la web semántica y las técnicas de planificación automática Ingeniería e Investigación 28 145Wu C-S and Khoury I 2012 Ninth International Conference on Information Technology - New Generations (ITNG) (Las Vegas: IEEE) Tree-based search algorithm for web service composition in SaaSGabrel V, Manouvrier M and Murat C 2014 Web services composition: Complexity and models Discrete Applied Mathematics 196 1Puerto Cuadros E G and Aguilar Castro J L 2017 Un algoritmo recursivo de reconocimiento de patrones Revista Técnica de la Facultad de Ingenieria Universidad del Zulia 40 95Jula A, Sundararajan E and Othman Z 2014 Cloud computing service composition: A systematic literature review Expert Systems with Applications 41 3809Zou G, Gan Y, Chen Y and Zhang B 2014 Dynamic composition of web services using efficient planners in large-scale service repository Knowledge-Based System 62 98Sundareswaran S, Squicciarini A and Lin D 2012 IEEE 5th International Conference on Cloud Computing (CLOUD 2012) (Honolulu: IEEE) A brokerage-based approach for cloud service selection in Cloud ComputingGarg S K, Versteeg S and Buyya R 2011 Fourth IEEE International Conference on Utility and Cloud Computing (UCC) (Victoria: IEEE) Smicloud: A framework for comparing and ranking cloud servicesCardinale Y and Rukoz M 2011 Proceedings of the International Conference on Management of Emergent Digital Ecosystems (MEDES ’11) (California: Association for Computing Machinery) A framework for reliable execution of transactional composite web servicesYu Q, Chen L and Li B 2015 Ant colony optimization applied to web service compositions in cloud computing Computers and Electrical Engineering 41 18Ye Z, Zhou X and Bouguettaya A 2011 International Conference on Database Systems for Advanced Applications (Berlin: Springer) Genetic algorithm based QoS-aware service compositions in cloud computingWang S, Zheng Z, Sun Q, Zou H and Yang F 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (Shanghai: IEEE) Cloud model for service selectionWu Q, Zhang M, Zheng R, Lou Y and Wei W 2013 A QoS-satisfied prediction model for cloud-service composition based on a hidden Markov model Mathematical Problems in Engineering 2013 387083Wang S, Sun Q, Zou H and Yang F 2013 Particle swarm optimization with skyline operator for fast cloud-based web service composition Mobile Networks and Applications 18 116Nilsson N J 1996 Introduction to Machine Learning: An Early Draft of a Proposed Textbook (Stanford: Stanford University)Duda R O, Hart P E and Stork D G 1997 Pattern Classification (California: Jhon Wiley & Sons)Chandrashekar G and Sahin F 2014 A survey on feature selection methods Computers and Electrical Engineering 40 16Khalid S, Khalil T and Nasreen S 2014 Science and Information Conference (SIC) (London: IEEE) A survey of feature selection and feature extraction techniques in machine learningPuerto E and Aguilar J 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (Cartagena: IEEE) Extended abstract: Formal description of a pattern for a recursive process of recognitionORIGINALA recursive pattern recognition approach to selection web services in cloud environment.pdfA recursive pattern recognition approach to selection web services in cloud environment.pdfapplication/pdf866623https://repositorio.ufps.edu.co/bitstream/ufps/461/1/A%20recursive%20pattern%20recognition%20approach%20to%20selection%20web%20services%20in%20cloud%20environment.pdf1878869c79aedb327e3615d78834861bMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/461/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTA recursive pattern recognition approach to selection web services in cloud environment.pdf.txtA recursive pattern recognition approach to selection web 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-2121-1208364827d63168d535a5b7f6315210f8526000000-0001-9361-5837c201373dd70e4d814c3342495d100a21600 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