DevOps Continuous Integration: Moving Germany’s Federal Employment Agency Test System into Embedded In-Memory Technology

This paper describes the development of a continuous integration database test architecture for a highly important and large software application in the public sector in Germany. We apply action design research and draw from two emerging areas of research – DevOps continuous integration practices and in-memory database development – to define the problem, design, build and implement the solution, analyze challenges encountered, and make adjustments. The result is the transformation of a large test environment originally based on Oracle databases into a flexible and fast embedded in-memory architecture. The main challenges involved overcoming the differences between the SQL specifications supported by the development and production systems and optimizing the test runtime performance. The paper contributes to theory and practice by presenting one of the first studies showing a real-world implementation of a successful database test architecture that enables continuous integration, and identifying technical design principles for database test architectures in general

Enhancing Collaborative CRM with Mobile Technologies

Mobile technology offers a high potential to significantly transform the ways how a company can interact with their customers and even with own employees. In recent years researchers started to analyze those potentials from the perspective of customer relationship management (CRM) but mainly concentrated on traditional business-to-customer (B2C) relationships. The concept of collaborative CRM extends this view of traditional CRM to virtual organizations and networked businesses. While the concept of collaborative CRM has been discussed by several authors already, the impact of mobile technology is still open to research. This paper investigates the role of mobile technology in collaborative CRM based on existing research, scenarios and supporting systems. The goal is to increase insight about the current role of mobile devices such as smartphones or personal digital agents (PDA) in collaborative CRM business scenarios and the support of these scenarios by CRM systems. From the broad scope of collaborative CRM the focus of this research is on collaboration with customers. The findings show that current mobile scenarios merely incorporate the collaborative CRM concept and that CRM systems provide only basic functionalities for incorporating mobile devices in collaborative CRM processes

The Internet of Things as a Privacy-Aware Database Machine

Instead of using a computer cluster with homogeneous nodes and very fast high bandwidth connections, we want to present the vision to use the Internet of Things (IoT) as a database machine. This is among others a key factor for smart (assistive) systems in apartments (AAL, ambient assisted living), offices (AAW, ambient assisted working), Smart Cities as well as factories (IIoT, Industry 4.0). It is important to massively distribute the calculation of analysis results on sensor nodes and other low-resource appliances in the environment, not only for reasons of performance, but also for reasons of privacy and protection of corporate knowledge. Thus, functions crucial for assistive systems, such as situation, activity, and intention recognition, are to be automatically transformed not only in database queries, but also in local nodes of lower performance. From a database-specific perspective, analysis operations on large quantities of distributed sensor data, currently based on classical big-data techniques and executed on large, homogeneously equipped parallel computers have to be automatically transformed to billions of processors with energy and capacity restrictions. In this visionary paper, we will focus on the database-specific perspective and the fundamental research questions in the underlying database theory

Aspectos de ingeniería de software, bases de datos relacionales, no relacionales y como servicios en la nube para el desarrollo de sistemas de software híbridos

Se presenta una línea de investigación que tiene por objeto estudiar las problemáticas actuales que afronta los procesos de diseño e implementación del Software (Ingeniería de Software y Bases de Datos) ante una gran variedad aplicaciones multiplataforma utilizadas por millones de usuario simultáneamente. En la actualidad la mayoría de las aplicaciones de Software son multiplataforma y requieren nuevas formas de pensar los diseños de Bases de Datos en complemento con las tradicionales metodologías ágiles. El modelo relacional de Bases de Datos (Codd 1970), es el modelo predominante de almacenamiento de información. Sin embargo, la idea de considerar que un único modelo de datos pueda adaptarse de forma eficiente a todos los requerimientos, ha sido discutida. Surgen así, otros motores de Bases de Datos que poseen implementaciones propias no relacionales y se denominan Bases de Datos NoSQL (No solo SQL). Estas Bases de Datos facilitan el almacenamiento de datos semiestructurados o sin estructura. Actualmente, existen una gran variedad de Sistemas de Gestión de Bases de Datos (SGBD) que implementan y almacenan sus datos de manera no estructurada. Estas implementaciones pueden ser para instalar de forma local o en la nube. La tecnología móvil impulsó aspectos que hace algunos años no eran considerados en el desarrollo del Software, tales como, movilidad, geolocalización, generación de grandes volúmenes de información y la diversidad de los dispositivos electrónicos involucrados.Red de Universidades con Carreras en InformáticaInstituto de Investigación en Informátic

Mobile Tour Assistant for Malaysia

Malaysia's tourism industry has seen a rapid growth rate for the past years, and played a significant role in the development of the country's economy. 2007 is a special year for Malaysian tourism since it is called the "Visit Malaysia" year in celebration of 50 years of Independence. Information Technology has made remarkable contributions to the growth of tourism industry in Malaysia. Its efforts to promote tourism range from websites providing information to systems to service tourists. However, while countries with well-developed tourism industry like France and Hong Kong have developed comprehensive tour assistant packages for tourists, Malaysia is yet to do so. Thus, a comprehensive mobile tour package is needed for Malaysia. The objective of the project is to develop a well-designed tour assistant running on PDAs which makes use of current trends in mobile applications such as the adoption of AI technique in scheduling. Due to time and resource constraints, the project focuses on areas within and around Kuala Lumpur and targets on short-stay and transit tourists. Going through a thorough literature review and following the waterfall methodology, the project has successfully developed a full package of mobile tour assistant including the back end and front end. The project also makes contribution to creatively applying Genetic Algorithm, an AI technique in plan auto-scheduling. The author hopes that the package will be of high commercial value and contribute significantly to boosting Malaysia's tourism

Un análisis experimental de sistemas de gestión de bases de datos para dispositivos móviles

Con el crecimiento en el alcance y uso de internet, de los smartphones, y de las redes sociales, se está produciendo un aumento exponencial en el volumen de datos administrados, pudiendo ser éstos estructurados, semiestructurados, o sin estructura. En este contexto surgen las bases de datos NoSQL, que facilitan el almacenamiento de datos semiestructurados o sin estructura. Por otra parte, las mejoras en las prestaciones de hardware de los dispositivos móviles conducen a que éstos administren cada vez más información, y que surjan nuevos sistemas de gestión de bases de datos que se instalan en dichos dispositivos. Este trabajo tiene por objetivo realizar un relevamiento de los sistemas de gestión de bases de datos para dispositivos móviles, y realizar un análisis experimental de los sistemas más representativos de los modelos de bases de datos más utilizados.Workshop: WBDMD - Base de Datos y Minería de DatosRed de Universidades con Carreras en Informátic

The Internet of Things as a Privacy-Aware Database Machine

Instead of using a computer cluster with homogeneous nodes and very fast high bandwidth connections, we want to present the vision to use the Internet of Things (IoT) as a database machine. This is among others a key factor for smart (assistive) systems in apartments (AAL, ambient assisted living), offices (AAW, ambient assisted working), Smart Cities as well as factories (IIoT, Industry 4.0). It is important to massively distribute the calculation of analysis results on sensor nodes and other low-resource appliances in the environment, not only for reasons of performance, but also for reasons of privacy and protection of corporate knowledge. Thus, functions crucial for assistive systems, such as situation, activity, and intention recognition, are to be automatically transformed not only in database queries, but also in local nodes of lower performance. From a database-specific perspective, analysis operations on large quantities of distributed sensor data, currently based on classical big-data techniques and executed on large, homogeneously equipped parallel computers have to be automatically transformed to billions of processors with energy and capacity restrictions. In this visionary paper, we will focus on the database-specific perspective and the fundamental research questions in the underlying database theory

Mobile Tour Assistant

Malaysia's tourism industry has seen a rapid growth rate for the past years, and played a significant role in the development of the country's economy. 2007 is a special year for Malaysian tourism since it is named the "Visit Malaysia" year in celebration of 50 years of Independence. Information Technology has made remarkable contributions to the growth of tourism industry in Malaysia. Its efforts to promote tourism range from websites providing information to systems to service tourists. However, while countries with well-developed tourism industry like France and Hong Kong have developed comprehensive tour assistant packages for tourists, Malaysia is yet to do so. Thus, a comprehensive mobile tour package is needed for Malaysia. The objective of the project is to make an enhancement to the development of a well-designed tour assistant running on PDAs which makes use ofcurrent trends in mobile applications such as the adoption ofAI technique in scheduling. This time around the enhancement will be based on the recommendation from the previous project into consideration and still due to time and resource constraints, the project focuses on areas within and around Kuala Lumpur and targets on short-stay and transit tourists butwill expand as much as possible. Going through a thorough literature review and following the waterfall methodology, the project has successfully developed a comprehensive mobile tour assistant package including the back end and front end module. The project makes creative application of Genetic Algorithm, an AI technique in auto-scheduling. The author hopes that the package will be of high commercial value and contribute significantly to boosting Malaysian tourism

Mobile Tour Assistant for Malaysia

Malaysia's tourism industry has seen a rapid growth rate for the past years, and played a significant role in the development of the country's economy. 2007 is a special year for Malaysian tourism since it is called the "Visit Malaysia" year in celebration of 50 years of Independence. Information Technology has made remarkable contributions to the growth of tourism industry in Malaysia. Its efforts to promote tourism range from websites providing information to systems to service tourists. However, while countries with well-developed tourism industry like France and Hong Kong have developed comprehensive tour assistant packages for tourists, Malaysia is yet to do so. Thus, a comprehensive mobile tour package is needed for Malaysia. The objective of the project is to develop a well-designed tour assistant running on PDAs which makes use of current trends in mobile applications such as the adoption of AI technique in scheduling. Due to time and resource constraints, the project focuses on areas within and around Kuala Lumpur and targets on short-stay and transit tourists. Going through a thorough literature review and following the waterfall methodology, the project has successfully developed a full package of mobile tour assistant including the back end and front end. The project also makes contribution to creatively applying Genetic Algorithm, an AI technique in plan auto-scheduling. The author hopes that the package will be of high commercial value and contribute significantly to boosting Malaysia's tourism

Un análisis comparativo de bases de datos para dispositivos móviles

Con el crecimiento en el alcance y uso de internet, de los smartphones, y de las redes sociales, se está produciendo un aumento exponencial en el volumen de datos administrados, pudiendo ser éstos estructurados, semiestructurados, o sin estructura. En este contexto surgen las bases de datos NoSQL, que facilitan el almacenamiento de datos semiestructurados o sin estructura. Las mejoras en las prestaciones de hardware de los dispositivos móviles llevan a que éstos administren cada vez más información, lo que hace que surjan nuevos sistemas de gestión de bases de datos que se instalan en los dispositivos. Este trabajo de investigación tiene por objetivo realizar un relevamiento de los sistemas de gestión de bases de datos que se instalan en dispositivos móviles existentes en la actualidad, y realizar un análisis de los sistemas más representativos de los tipos más utilizados.Facultad de Informátic