Navegación

Búsqueda

Búsqueda avanzada

Bidimensional Cross-Cloud Application Management with TOSCA and Brooklyn (summary)

The diversity in the way different cloud providers offer their services, give their SLAs, present their QoS, support different technologies, etc., complicates the portability and interoperability of cloud applications, and favors vendor lock-in. Standards like TOSCA, and tools supporting them, have come to help in the provider-independent description of cloud applications. After the variety of proposed cross-cloud application management tools, we propose going one step further in the unification of cloud services with a deployment tool in which IaaS and PaaS services are integrated into a unified interface. We provide support for applications whose components are to be deployed on different providers, indistinctly using IaaS and PaaS services. The TOSCA standard is used to define a portable model describing the topology of the cloud applications and the required resources in an agnostic, and providers- and resources-independent way. We include in this paper some highlights on our implementation on Apache Brooklyn and present a non-trivial example that illustrates our approach.

Resumen del artículo publicado en:

Jose Carrasco, Javier Cubo, Francisco Durán, Ernesto Pimentel. Bidimensional Cross-Cloud Application Management with TOSCA and Brooklyn, 9th IEEE International Conference on Cloud Computing (CLOUD 2016), San Francisco, (EEUU). IEEE Computer Society, 2016.

Apoyo a la Toma de Decisiones en la Compra de IaaS

La dificultad para decidir la compra de un IaaS (Infrastructure as a Service) depende de la complejidad de las opciones de compra dadas por su proveedor y de la complejidad del plan del cliente que quiere realizarla. Es habitual que estos tipos de servicios ofrezcan muchas configuraciones de uso diferentes, y para cada una de ellas sea posible disponer de varias opciones de compra. De este modo, decidir la mejor compra se convierte en una tarea que consume mucho tiempo, tediosa y propensa a errores. En este trabajo inicial, caracterizamos el problema con un caso de estudio ilustrativo y presentamos los desafíos inmediatos para mejorar las herramientas de soporte actualmente disponibles.

Towards the user-centric analysis of the availability in IaaS

Availability is a key property in computational services and, therefore, is guaranteed by Service Level Agreements (SLAs) from the majority infrastructure services, such as virtualization (Amazon EC2, Windows Azure, Google Cloud, Joyent, Rackspace, …) and storage (Amazon S3, Google Cloud Storage, …). These SLAs describe availability in natural language and there are important differences in the scope and penalties that each service provides. Furthermore, descriptions use specific domain terms so they are difficult to understand by service customers. These circumstances make that availability analysis is a tedious, error-prone and time-consuming task. In this paper, we describe in detail this problem and provide a first approach to deal with these SLAs supported on current SLA analysis techniques.

CloudWave: Agile Service Engineering for the Future Internet

After achieving initial market penetration, Cloud Computing stakeholders now call for a next generation of Infrastructure and Software as a Service offering (IaaS and SaaS). CloudWave, an EU-funded FP7 research project, looks to dynamically adapt cloud services to their environment, resulting in improved service quality and optimized resource use. This is supported with an enhanced cloud monitoring that provides holistic analytics of IaaS and SaaS layer services running on the cloud, leading to CloudWave’s innovative, automated adaptation of the infrastructure and application, as well as enabling DevOps-like data and interfaces for the developer. DevOps-like data and interfaces for the developer.