A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.Fundação para a Ciência e a Tecnologia (FCT) - (Referencia da bolsa: SFRH SFRH / BD / 33965 / 2009) and EC 7th Framework Programme under grant agreement n° FITMAN 604674 (http://www.fitman-fi.eu

Modelo de Calidad para Servicios Cloud

[EN] Modelo de Calidad para Servicios Cloud 4 Abstract Context: Cloud computing is a model of provision and consumption of services that offers many advantages to companies (high availability, flexibility, maximum utilization of resources, etc.) that result in quality requirements that must be met by the servi ce. In recent years there have been proposed numerous quality attributes and metrics for cloud services, but there is no study to collect this information and classified it with respect to internal and external characteristics of service (Quality of Servic e - QoS) and characteristics in use of the service (Quality of Experience - QoE). Objective: The objective of this final master ’s work is to define a model specific quality cloud services aligned with the ISO / IEC 25010, which integrate the quality feature s, attributes and metrics proposed in the literature and which allow to assess the quality cloud of artifacts in various stages of the life cycle. Method: We performed a systematic review of the literature in order to identify and analyze the attributes an d quality metrics proposed to assess the quality of cloud services. This method has been widely used in the field of Software Engineering and has proven useful to collect and analyze existing information on a particular research topic. Results: The result is a quality model for cloud services which has been built from 178 attributes and 364 metric obtained as a result of the systematic review. In particular, the results of the review indicate that 48% of proposals are metrics to measure performance efficien cy, reliability metrics following him with 23%. With respect to the phase of the life cycle, 55% of these metrics are used in the operation phase and 32% in the acquisition phase. Regarding the point of view of stakeholders, 39% of the metrics are oriented to the service provider, 33% consumer, 7% to the facilitator (broker) and only 5% service developer. With respect to cloud evaluated artifacts, most metrics (97%) are applied to the cloud service being tested or deployed in the cloud; only 2% of the metri cs are applied to the service architecture and 1% on the service specification. With regard to the validation, the results show that 99% of metric proposals lack any type of validation, although 44% presents a proof of concept illustrating how the metrics can be used. Additionally, we identified 27 attributes for cloud services, the elasticity was the most named, with 14%. Conclusions: The results of this work have provided relevant information on the current status and gaps that exist in the field of quali ty assessment of cloud services. They have also allowed us to define a quality model to meet some identified shortcomings. As future work, we intend to refine the proposed model, propose new metrics and adapt some existing architectures for evaluating clou d and empirical studies to provide evidence about theusefulness of a set of metrics[ES] El trabajo consiste en definir un modelo de calidad que determine las características de los servicios cloud y proporcione los mecanismos necesarios para evaluar su calidad. Se realizará una revisión sistemática de la literatura con el objetivo de identificar un conjunto de atributos de calidad, métricas e indicadores que permitirán medir las características identificadas. Como resultado se obtendrá un modelo de calidad alineado con la ISO/IEC 25010 que integrará las características de calidad, atributos, métricas e indicadores que dan soporte a su evaluación.[CA] Context: La computacio en el nuvol es un model de prestacio i consum de servicis que oferix moltes ventages a les empreses (alta disponibilitat, elasticitat, maxim aprofitament de recursos, etc.) que se traduixen en requisits de calitat que deuen ser complits pel servici. En els ultims anys s'han propost numerosos atributs de calitat i metriques per a servicis cloud, pero no existix un estudi que recoja esta informacio i la classifique en respecte a les caracteristiques internes i externes del servici (Quality of Service – QoS), aixina com caracteristiques en us del servici (Quality of Experience – QoE). Objectiu: L'objectiu d'este treball de fi de máster es definir un model de calitat especifica per a servicis cloud, enringlerat en l'ISO/IEC 25010, que integre les caracteristiques de calitat, atributs i metriques proposts en la lliteratura i que permeten evaluar la calitat dels artefactes cloud en distintes fases del cicle de vida. Metodo: S'ha realisat una revisio sistematica de la lliteratura en l'objectiu d'identificar i analisar els atributs i metriques de calitat propostes per a evaluar la calitat dels servicis cloud. Este metodo ha segut utilisat extensament en l'ambit de l'Ingenieria del Software i ha demostrat ser util per a recopilar i analisar l'informacio existent relativa a un determinat tema d'investigacio. Resultats: El resultat es un model de calitat per a servicis cloud que ha segut construit a partir dels 178 atributs i 364 metriques obtingudes com resultat de la revisio sistematica. En particular, els resultats de la revisio indiquen que el 48% de les metriques propostes son per a mesurar Eficiencia de desempenyorament, seguint-li les metriques de fiabilidad en en un 23%. En respecte a la fase del cicle de vida, un 55% d'estes metriques s'utilisen en la fase d'Operacio i un 32% en la fase d'Adquisicio. En respecte al punt de vista dels stakeholders, el 39% de les metriques estan orientades al proveïdor del servici, el 33% al consumidor, el 7% al facilitador (bróker) i nomes un 5% al desarrollador del servici. En respecte als artefactes cloud valorats, la majoria de les metriques (97%) s'apliquen sobre el servici cloud en fase de proves o desplegat en el cloud; nomes un 2% de les metriques s'apliquen sobre l'arquitectura del servici i un 1% sobre l'especificacio del servici. En respecte a la validacio, els resultats mostren que el 99% de les metriques propostes carixen de qualsevol tipo de validacio, encara que el 44% presenta una prova de concepte que ilustra com se pot utilisar les metriques. Adicionalment identifiquem 27 atributs propis dels servicis cloud, sent l'elasticitat el mes nomenat, en 14%. Conclusions: Els resultats del treball han proporcionat informacio rellevant sobre l'estat actual i les carencies que existixen en l'ambit de l'evaluacio de la calitat dels servicis cloud. Tambe mos han permes definir un model de calitat per a suplir algunes carencies identificades. Com trabajos futurs, pretenem refinar el model propost, propondre noves metriques i adaptar algunes existents per a l'evaluacio d'arquitectures cloud, aixina com realisar estudios empirics per a proporcionar evidencia al voltant de l'utilitat d'un conjunt de metriquesNavas Rosales, RM. (2016). Modelo de Calidad para Servicios Cloud. http://hdl.handle.net/10251/77847TFG