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Towards a monitoring middleware for cloud services

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Towards a monitoring middleware for cloud services

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dc.contributor.author Cedillo Orellana, Irene Priscila es_ES
dc.contributor.author Jiménez Gómez, Javier es_ES
dc.contributor.author Abrahao Gonzales, Silvia Mara es_ES
dc.contributor.author Insfrán Pelozo, César Emilio es_ES
dc.date.accessioned 2016-05-26T07:02:13Z
dc.date.available 2016-05-26T07:02:13Z
dc.date.issued 2015-06-27
dc.identifier.isbn 978-1-4673-7281-7
dc.identifier.uri http://hdl.handle.net/10251/64732
dc.description © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. es_ES
dc.description.abstract Cloud Computing represents a new trend in the development and use of software. Many organizations are currently adopting the use of services that are hosted in the cloud by employing the Software as a Service (SaaS) model. Services are typically accompanied by a Service Level Agreement (SLA), which defines the quality terms that a provider offers to its customers. Many monitoring tools have been proposed to report compliance with the SLA. However, they have some limitations when changes to monitoring requirements must be made and because of the complexity involved in capturing low-level raw data from services at runtime. In this paper, we propose the design of a platform-independent monitoring middleware for cloud services, which supports the monitoring of SLA compliance and provides a report containing SLA violations that may help stakeholders to make decisions regarding how to improve the quality of cloud services. Moreover, our middleware definition is based on the use of models@run.time, which allows the dynamic change of quality requirements and/or the dynamic selection of different metric operationalizations (i.e., calculation formulas) with which to measure the quality of services. In order to demonstrate the feasibility of our approach, we show the instantiation of the proposed middleware that can be used to monitor services when deployed on the Microsoft Azure© platform. es_ES
dc.description.sponsorship This research is supported by the Value@Cloud project (TIN2013-46300-R); the Scholarship Program Senescyt - Ecuador; University of Cuenca – Ecuador; and the Microsoft Azure for Research Award Program
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher IEEE es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cloud computing es_ES
dc.subject Software as a service es_ES
dc.subject Monitoring es_ES
dc.subject Middleware es_ES
dc.subject Quality of service es_ES
dc.subject Models@run.time es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Towards a monitoring middleware for cloud services es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1109/SCC.2015.68
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2013-46300-R/ES/DESARROLLO INCREMENTAL DE SERVICIOS CLOUD DIRIGIDO POR MODELOS Y ORIENTADO AL VALOR DEL CLIENTE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Cedillo Orellana, IP.; Jiménez Gómez, J.; Abrahao Gonzales, SM.; Insfrán Pelozo, CE. (2015). Towards a monitoring middleware for cloud services. IEEE. https://doi.org/10.1109/SCC.2015.68 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 12th IEEE International Conference on Services Computing (IEEE SCC 2015) es_ES
dc.relation.conferencedate June 27-July 2, 2015 es_ES
dc.relation.conferenceplace New York, USA es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/SCC.2015.68 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 304032 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador
dc.contributor.funder Microsoft
dc.contributor.funder Universidad de Cuenca, Ecuador


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