A Model-Based Monitoring Architecture for Heterogeneous Enterprise Services and Information Systems

Runtime management of distributed information systems is a complex and costly activity. One of the main challenges that must be addressed is obtaining a complete and updated view of all the managed runtime resources. This article presents a monitoring architecture for heterogeneous and distributed information systems. It is composed of two elements: an information model and an agent infrastructure. The model negates the complexity and variability of these systems and enables the abstraction over non-relevant details. The infrastructure uses this information model to monitor and manage the modeled environment, performing and detecting changes in execution time. The agents infrastructure is further detailed and its components and the relationships between them are explained. Moreover, the proposal is validated through a set of agents that instrument the JEE Glassfish application server, paying special attention to support distributed configuration scenarios.

A linear chained approach for service invocation in IP multimedia subsystem.

IP Multimedia Subsystem (IMS) is considered to provide multimedia services to users through an IP-based control plane. The current IMS service invocation mechanism, however, requires the Serving-Call Session Control Function (S-CSCF) invokes each Application Server (AS) sequentially to perform service subscription pro?le, which results in the heavy load of the S-CSCF and the long session set-up delay. To solve this issue, this paper proposes a linear chained service invocation mechanism to invoke each AS consecutively. By checking all the initial Filter Criteria (iFC) one-time and adding the addresses of all involved ASs to the ?Route? header, this new approach enables multiple services to be invoked as a linear chain during a session. We model the service invocation mechanisms through Jackson networks, which are validated through simulations. The analytic results verify that the linear chained service invocation mechanism can effectively reduce session set-up delay of the service layer and decrease the load level of the S-CSCF

Monitorización de sistemas en alta disponibilidad

El objetivo del proyecto es implantar un sistema de monitorización, con la peculiaridad de encontrarse en alta disponibilidad, esto es, que el servicio (la monitorización de una infraestructura) se preste forma continua y no se vea interrumpido. Dado que el propósito del sistema es monitorizar activamente una infraestructura, ha sido necesario desplegar una infraestructura, además del sistema de monitorización. La infraestructura en cuestión está compuesta por un servidor de documentación, un servidor de base de datos, un servidor de aplicaciones y un servidor web. El sistema de monitorización se ha desplegado en la misma red de área local de esta infraestructura y monitoriza que los servicios prestados por los componentes de esta infraestructura se encuentren operativos y funcionando adecuadamente. Así pues, se tendría un sistema de monitorización local funcional. No obstante, el proyecto plantea un sistema escalable, que esté preparado para el crecimiento de la infraestructura y continúe siendo eficiente. Para ello, sistema de monitorización se encuentre dividido por dos componentes:  Sonda delegada: monitoriza localmente los activos de la infraestructura a monitorizar, es el escenario anteriormente descrito.  Sonda maestra: recibe los resultados de la monitorización realizada, este sistema puede estar desplegado en otra red distinta a la sonda delegada. Este enfoque no solo es escalable, sino también es fiel a la realidad, pues puede darse el caso de que las sondas pertenezcan a distintas infraestructuras e inclusive, distintas organizaciones, y se comuniquen a través de internet, mediante un mecanismo confiable a ser posible. El proyecto plantea que ambas sondas se encuentren en alta disponibilidad (en adelante HA, referente a high availability), y que cada sonda está compuesta por dos equipos (nodos, en adelante). Como se analizará en posteriores capítulos, existen diversas configuraciones que permiten implantar un sistema en HA, la configuración escogida para el proyecto es Activo – Pasivo(los detalles de esta configuración también se explican en posteriores capítulos). Para finalizar, se estudiara la posibilidad de ofrecer respuestas activas en ciertas situaciones y configuraciones adicionales sobre el sistema de monitorización base. Por otro lado, para la implantación del proyecto se ha usado software de código abierto para la virtualización de la infraestructura (Virtual Box y GNS3), los sistemas operativos base (Linux), el sistema de monitorización(Nagios Core) así como el software que implementa la HA (corosync y pacemaker).---ABSTRACT---The aim of the Project is to implement a monitoring system, with the peculiarity of being deployed in high availability, what it is that the service (monitoring infrastructure) is provided continuously and not interrupted. As the purpose of the system is monitoring infrastructure actively, an infrastructure has been deployed, and also the monitoring system. The infrastructure monitored is composed of a documentation server, a server database, an application server and a Web server. The monitoring system has been also deployed on the same LAN of this infrastructure and monitors the services provided by the components of this infrastructure are operational and working as expected. This is a local monitoring system functional. However, the project also proposes a scalable system that is ready for growth of infrastructure and efficient. This is the reason of divide the system in two components:  Slave Component: monitors locally the infrastructure assets to be monitored, this is the scenario described above.  Master Component: get the results from the monitoring, provided by the Slave Component. This system can be deployed in a different network than the slave component. This approach is not only scalable but also a real scenario, as may be the case that the Components belongs to different infrastructures and even, different organizations, also this components can communicate over the Internet, through a reliable mechanism if possible. The project proposes that both Components are deployed in high availability (HA onwards concerning high availability), each Component is composed of two servers (nodes, hereafter). As will be discussed in later chapters, there are several settings available to deploy a system in HA, the configuration chosen for the project is Active - Passive (details of this configuration are also explained in later chapters). Finally the possibility of offering active responses in certain situations and additional settings on the monitoring system will be discussed. On the other hand, for the implementation of the project, open source software has been used, for virtualization infrastructure (Virtual Box and GNS3), code-based operating systems (Linux), the monitoring system (Nagios core), as well as the software that implements the HA (corosync and pacemaker).

Análisis, diseño e implementación de un SDK híbrido basado en tecnologías web para la integración de clientes contra una plataforma de servicios RESTFul/JSON

En el departamento de Ocio Digital de bq se desarrollan multitud de proyectos con diferentes modelos de negocio y diferentes stack tecnológicos. Para llevar a cabo todos estos proyectos, es necesario tener un ecosistema de desarrollo lo más unificado y centralizado posible. Por eso, en el departamento existe una plataforma genérica de servicios REST sobre la que se apoyan todos los aplicativos desarrollados. Para agilizar y facilitar la integración de los aplicativos con la plataforma de servicios,se desarrolla este SDK (Software Development Kit) basado en JavaScript llamado corbel-js. Este SDK ha de funcionar tanto en aplicaciones web, como en un middleware basado en node.js desarrollado también en la organización, por lo que el SDK se ha desarrollado de forma híbrida, siendo capaz de ejecutarse tanto en en el lado del cliente, como en el lado del servidor. Además, como parte de la filosofía del departamento, el desarrollo del SDK está basado en tecnologías Open Source, usando metodologías ágiles de desarrollo y un sistema de integración continua y revisión de código, garantizando la calidad del mismo. ABSTRACT A lot of different kinds of software projects are developed in the digital department of bq. To easily develop all of these projects, each one with its own business model and technology stack, it is necessary to have an unique software ecosystem. Because of that, in the software department a generic service REST platform has been developed. To support an easy integration of the applications with the service platform of the organization, this SDK(Software Development Kit) has been developed in JavaScript. As the SDK has to run under a web application and under a software middleware based in node.js, also developed in the organization, the SDK is hybrid, being capable of run inside a web client application or inside a node.js application server. As a part of the software philosophy of the department, the development of the SDK is made with a whole open source software stack, using agile software methodologies.

Parallel workflows to personalize clinical guidelines recommendations: application to gestational diabetes mellitus

The MobiGuide system provides patients with personalized decision support tools, based on computerized clinical guidelines, in a mobile environment. The generic capabilities of the system will be demonstrated applied to the clinical domain of Gestational Diabetes (GD). This paper presents a methodology to identify personalized recommendations, obtained from the analysis of the GD guideline. We added a conceptual parallel part to the formalization of the GD guideline called "parallel workflow" that allows considering patient?s personal context and preferences. As a result of analysing the GD guideline and eliciting medical knowledge, we identified three different types of personalized advices (therapy, measurements and upcoming events) that will be implemented to perform patients? guiding at home, supported by the MobiGuide system. These results will be essential to determine the distribution of functionalities between mobile and server decision support capabilities.

On the leakage-power modeling for optimal server operation

Leakage power consumption is a com- ponent of the total power consumption in data cen- ters that is not traditionally considered in the set- point temperature of the room. However, the effect of this power component, increased with temperature, can determine the savings associated with the careful management of the cooling system, as well as the re- liability of the system. The work presented in this paper detects the need of addressing leakage power in order to achieve substantial savings in the energy consumption of servers. In particular, our work shows that, by a careful detection and management of two working regions (low and high impact of thermal- dependent leakage), energy consumption of the data- center can be optimized by a reduction of the cooling budget.

Leakage and temperature aware server control for improving energy efficiency in data centers

Reducing the energy consumption for computation and cooling in servers is a major challenge considering the data center energy costs today. To ensure energy-efficient operation of servers in data centers, the relationship among computa- tional power, temperature, leakage, and cooling power needs to be analyzed. By means of an innovative setup that enables monitoring and controlling the computing and cooling power consumption separately on a commercial enterprise server, this paper studies temperature-leakage-energy tradeoffs, obtaining an empirical model for the leakage component. Using this model, we design a controller that continuously seeks and settles at the optimal fan speed to minimize the energy consumption for a given workload. We run a customized dynamic load-synthesis tool to stress the system. Our proposed cooling controller achieves up to 9% energy savings and 30W reduction in peak power in comparison to the default cooling control scheme.

Server power modeling for run-time energy optimization of cloud computing facilities

As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. The average consumption of a single data center is equivalent to the energy consumption of 25.000 households. Modeling the power consumption for these infrastructures is crucial to anticipate the effects of aggressive optimization policies, but accurate and fast power modeling is a complex challenge for high-end servers not yet satisfied by analytical approaches. This work proposes an automatic method, based on Multi-Objective Particle Swarm Optimization, for the identification of power models of enterprise servers in Cloud data centers. Our approach, as opposed to previous procedures, does not only consider the workload consolidation for deriving the power model, but also incorporates other non traditional factors like the static power consumption and its dependence with temperature. Our experimental results shows that we reach slightly better models than classical approaches, but simul- taneously simplifying the power model structure and thus the numbers of sensors needed, which is very promising for a short-term energy prediction. This work, validated with real Cloud applications, broadens the possibilities to derive efficient energy saving techniques for Cloud facilities.

Leakage-aware cooling management for improving server energy efficiency

The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.

Enhancing Guideline-based decision support with distributed computation through local mobile application

We introduce the need for a distributed guideline-based decision sup-port (DSS) process, describe its characteristics, and explain how we implement-ed this process within the European Union?s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from the central DSS server, to the local DSS in the patient's mobile device, which then applies that portion, us-ing the mobile device's local resources. The mobile device sends a callback to the central DSS when it encounters a triggering pattern predefined in the pro-jected module, which leads to an appropriate predefined action by the central DSS, including sending a new projected module, or directly controlling the rest of the workflow. We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages of the cen-tral server and of the local mobile device.