Analysis of service-oriented computing systems

La computación basada en servicios (Service-Oriented Computing, SOC) se estableció como un paradigma ampliamente aceptado para el desarollo de sistemas de software flexibles, distribuidos y adaptables, donde las composiciones de los servicios realizan las tareas más complejas o de nivel más alto, frecuentemente tareas inter-organizativas usando los servicios atómicos u otras composiciones de servicios. En tales sistemas, las propriedades de la calidad de servicio (Quality of Service, QoS), como la rapídez de procesamiento, coste, disponibilidad o seguridad, son críticas para la usabilidad de los servicios o sus composiciones en cualquier aplicación concreta. El análisis de estas propriedades se puede realizarse de una forma más precisa y rica en información si se utilizan las técnicas de análisis de programas, como el análisis de complejidad o de compartición de datos, que son capables de analizar simultáneamente tanto las estructuras de control como las de datos, dependencias y operaciones en una composición. El análisis de coste computacional para la composicion de servicios puede ayudar a una monitorización predictiva así como a una adaptación proactiva a través de una inferencia automática de coste computacional, usando los limites altos y bajos como funciones del valor o del tamaño de los mensajes de entrada. Tales funciones de coste se pueden usar para adaptación en la forma de selección de los candidatos entre los servicios que minimizan el coste total de la composición, basado en los datos reales que se pasan al servicio. Las funciones de coste también pueden ser combinadas con los parámetros extraídos empíricamente desde la infraestructura, para producir las funciones de los límites de QoS sobre los datos de entrada, cuales se pueden usar para previsar, en el momento de invocación, las violaciones de los compromisos al nivel de servicios (Service Level Agreements, SLA) potenciales or inminentes. En las composiciones críticas, una previsión continua de QoS bastante eficaz y precisa se puede basar en el modelado con restricciones de QoS desde la estructura de la composition, datos empiricos en tiempo de ejecución y (cuando estén disponibles) los resultados del análisis de complejidad. Este enfoque se puede aplicar a las orquestaciones de servicios con un control centralizado del flujo, así como a las coreografías con participantes multiples, siguiendo unas interacciones complejas que modifican su estado. El análisis del compartición de datos puede servir de apoyo para acciones de adaptación, como la paralelización, fragmentación y selección de los componentes, las cuales son basadas en dependencias funcionales y en el contenido de información en los mensajes, datos internos y las actividades de la composición, cuando se usan construcciones de control complejas, como bucles, bifurcaciones y flujos anidados. Tanto las dependencias funcionales como el contenido de información (descrito a través de algunos atributos definidos por el usuario) se pueden expresar usando una representación basada en la lógica de primer orden (claúsulas de Horn), y los resultados del análisis se pueden interpretar como modelos conceptuales basados en retículos. ABSTRACT Service-Oriented Computing (SOC) is a widely accepted paradigm for development of flexible, distributed and adaptable software systems, in which service compositions perform more complex, higher-level, often cross-organizational tasks using atomic services or other service compositions. In such systems, Quality of Service (QoS) properties, such as the performance, cost, availability or security, are critical for the usability of services and their compositions in concrete applications. Analysis of these properties can become more precise and richer in information, if it employs program analysis techniques, such as the complexity and sharing analyses, which are able to simultaneously take into account both the control and the data structures, dependencies, and operations in a composition. Computation cost analysis for service composition can support predictive monitoring and proactive adaptation by automatically inferring computation cost using the upper and lower bound functions of value or size of input messages. These cost functions can be used for adaptation by selecting service candidates that minimize total cost of the composition, based on the actual data that is passed to them. The cost functions can also be combined with the empirically collected infrastructural parameters to produce QoS bounds functions of input data that can be used to predict potential or imminent Service Level Agreement (SLA) violations at the moment of invocation. In mission-critical applications, an effective and accurate continuous QoS prediction, based on continuations, can be achieved by constraint modeling of composition QoS based on its structure, known data at runtime, and (when available) the results of complexity analysis. This approach can be applied to service orchestrations with centralized flow control, and choreographies with multiple participants with complex stateful interactions. Sharing analysis can support adaptation actions, such as parallelization, fragmentation, and component selection, which are based on functional dependencies and information content of the composition messages, internal data, and activities, in presence of complex control constructs, such as loops, branches, and sub-workflows. Both the functional dependencies and the information content (described using user-defined attributes) can be expressed using a first-order logic (Horn clause) representation, and the analysis results can be interpreted as a lattice-based conceptual models.

The effects of health changes on projections of health service needs for the elderly population of the United States

The 1982–1994 National Long-Term Care Surveys indicate an accelerating decline in disability among the U.S. elderly population, suggesting that a 1.5% annual decline in chronic disability for elderly persons is achievable. Furthermore, many risk factors for chronic diseases show improvements, many linked to education, from 1910 to the present. Projections indicate the proportion of persons aged 85–89 with less than 8 years of education will decline from 65% in 1980 to 15% in 2015. Health and socioeconomic status trends are not directly represented in Medicare Trust Fund and Social Security Administration beneficiary projections. Thus, they may have different economic implications from projections directly accounting for health trends. A 1.5% annual disability decline keeps the support ratio (ratio of economically active persons aged 20–64 to the number of chronically disabled persons aged 65+) above its 1994 value, 22:1, when the Hospital Insurance Trust Fund was in fiscal balance, to 2070. With no changes in disability, projections indicate a support ratio in 2070 of 8:1—63% below a cash flow balance.

The Rocky Road to an EU-Armenia Agreement: From U-turn to detour. CEPS Commentary, 3 February 2015

The EU was taken by surprise when the President of Armenia, Serzh Sargsyan, stood by his Russian counterpart and announced Armenia’s plans to join the Russian-led Customs Union in September 2013. After all, before this announcement Armenia and the EU had successfully concluded negotiations on their Association Agreement. Armenia is still suffering the consequences of the Kremlin’s coercion to reject this Association Agreement. Indeed, as Armenians around the world commemorate the centenary of the Armenian Genocide by Ottoman Turkey, the Republic of Armenia is facing mounting challenges. The country remains subject to an economic blockade by Turkey and is in conflict with Azerbaijan. Ever since President’s Sargsyan’s astonishing volte-face, the EU and Armenia are still in the process of trying to rework the failed agreement. The author of this commentary argues that because the future of any new agreement is uncertain, negotiations should be accompanied by a pragmatic EU-Armenia roadmap. This roadmap, alongside the start of the visa liberalisation process and Armenia’s signing up to the European Common Aviation Agreement and Horizon 2020, could become a deliverable at the Riga Summit on 26-27 April 2015.

Hispanic immigration and Select Commission on Immigration's final report : hearings before the Subcommittee on Census and Population of the Committee on Post Office and Civil Service, House of Representatives, Ninety-seventh Congress, first session, April 27, 28, 1981.

Item 1022-B, 1022-C (microfiche)

The Hispanic population : a demographic and issue profile : hearings before the Subcommittee on Census and Population of the Committee on Post Office and Civil Service, House of Representatives, Ninety-eighth Congress, first session, September 13, 14, 15, 1983.

"Serial no. 98-10."

U.S. agricultural trade with Latin America /

Contains tables.

Air cargo potentials between the U.S. and Paraguay /

At head of title: Inquiry Reference Service.

Economic, social, and demographic characteristics of Spanish-American wage workers on U.S. farms /

Cover title.

M. U. Economics Building

Built in 1856. First chemical laboratory at a state university. Building served medical students and others as both laboratory and classroom. Situated just west and south of the original medical building. Additions made to the one-story building in 1861, 1866, 1868, 1874. In 1880 a two-story addition was added with subsequent additions in 1889 and 1901. Became Economics Building in 1908. Pharmacology occupied north wing 1908-1981. Destroyed by fire Christmas Eve 1981. On verso: M.U. Information Services #1182 July 1959.

M. U. Economics Bldg.

Built in 1856. First chemical laboratory at a state university. Building served medical students and others as both laboratory and classroom. Situated just west and south of the original medical building. Additions made to the one-story building in 1861, 1866, 1868, 1874. In 1880 a two-story addition was added with subsequent additions in 1889 and 1901. Became Economics Building in 1908. On verso: M.U. Information Services. Econ 3. April 1952.

Tappan Oak ... between U. Library and Haven Hall.

Tree before 1858; boulder ca. 1883; bronze plaque 1904. In spring of 1858 the Class of 1858 named this oak (growing near center of campus) the Tappan Oak as a tribute to then Pres. Henry P. Tappan). Stone was given by the "Tappan Boys" (class of 58) and placed ca. 1883.