Browsing by Author "Insfrán, Emilio"

Now showing 1 - 4 of 4

A monitoring infrastructure for the quality assessment of cloud services
(Springer Nature, 2016) Cedillo Orellana, Irene Priscila; Gonzalez Huerta, Javier; Abrahao, Silvia Mara; Insfrán, Emilio
Service Level Agreements (SLAs) specify the strict terms under which cloud services must be provided. The assessment of the quality of services being provided is critical for both clients and service providers. In this context, stakeholders must be capable of monitoring services delivered as Software as a Service (SaaS) at runtime and of reporting any eventual non-compliance with SLAs in a comprehensive and flexible manner. In this paper, we present the definition of an SLA compliance monitoring infrastructure, which is based on the use of models@ run.time, its main components and artifacts, and the interactions among them. We place emphasis on the configuration of the artifacts that will enable the monitoring, and we present a prototype that can be used to perform this monitoring. The feasibility of our proposal is illustrated by means of a case study, which shows the use of the components and artifacts in the infrastructure and the configuration of a specific plan with which to monitor the services deployed on the Microsoft Azure© platform.
Dynamic reconfiguration of cloud application architectures
(2018) Zúñiga Prieto, Miguel Ángel; Gonzalez Huerta, Javier; Insfrán, Emilio; Abrahao, Silvia Mara
Service-based cloud applications are software systems that continuously evolve to satisfy new user requirements and technological changes. This kind of applications also require elasticity, scalability, and high availability, which means that deployment of new functionalities or architectural adaptations to fulfill service level agreements (SLAs) should be performed while the application is in execution. Dynamic architectural reconfiguration is essential to minimize system disruptions while new or modified services are being integrated into existing cloud applications. Thus, cloud applications should be developed following principles that support dynamic reconfiguration of services, and also tools to automate these reconfigurations at runtime are needed. This paper presents an extension of a model-driven method for dynamic and incremental architecture reconfiguration of cloud …
Evaluación de un método de monitorización de calidad de servicios cloud: una replicación interna
(Universidad de la Laguna, Universidad de Castilla-La Mancha, Universidad del País Vasco, 2017) Abrahao, Silvia Mara; Cedillo Orellana, Irene Priscila
Towards a monitoring middleware for cloud services
(Institute of Electrical and Electronics Engineers (IEEE), 2015) Cedillo Orellana, Irene Priscila; Insfrán, Emilio; Abrahao, Silvia; Jiménez Gómez, Javier
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.