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 |
|