Contacts Sharing: integrazione tra CRM e il cloud Google

Sviluppo applicazione per condividere contatti da SugarCRM con Google Contacts

GIS in the cloud: implementing a web map service on Google App Engine

Many producers of geographic information are now disseminating their data using open web service protocols, notably those published by the Open Geospatial Consortium. There are many challenges inherent in running robust and reliable services at reasonable cost. Cloud computing provides a new kind of scalable infrastructure that could address many of these challenges. In this study we implement a Web Map Service for raster imagery within the Google App Engine environment. We discuss the challenges of developing GIS applications within this framework and the performance characteristics of the implementation. Results show that the application scales well to multiple simultaneous users and performance will be adequate for many applications, although concerns remain over issues such as latency spikes. We discuss the feasibility of implementing services within the free usage quotas of Google App Engine and the possibility of extending the approaches in this paper to other GIS applications.

Web-sovellus Google App Engine alustalle

App Engine on lyhenne englanninkielisistä termeistä application, sovellus ja engine, moottori. Kyseessä on Google, Inc. -konsernin toteuttama kaupallinen palvelu, joka noudattaa pilvimallin tietojenkäsittelyn periaatteita ja mahdollistaa asiakkaan oman sovelluskehityksen. Järjestelmään on mahdollista ohjelmoida itse ideoitu palvelu Internet - verkon välityksellä käytettäväksi, joko yksityisesti tai julkisesti. Kyse on siis hajautetusta palvelinjärjestelmästä, jonka tarjoaa dynaamisesti kuormitukseen sopeutuvan sovellusalustan, jossa asiakas ei vuokraa virtuaalikoneita. Myös järjestelmän tarjoama tallennuskapasiteetti on saatavilla joustavasti. Itse kandidaatintyössä syvennytään yksityiskohtaisemmin sovelluksen toteuttamiseen palvelussa, rajoitteisiin ja soveltuvuuteen. Alussa käydään läpi pilvikäsite, joista monilla tietokoneiden käyttäjillä on epäselvä käsitys. Erilaisia kokonaisuuksia voidaan luoda erittäin monella tavalla, joista rajaamme käsittelyn kohteeksi toteuttamiskelpoiset yleiset ratkaisut.

Un'applicazione Android basata su cloud Google per la gestione dei contatti

La tesi è incentrata sulla creazione di una mobile app partendo da una web application creata precedentemente e in uso. Tramite alcuni strumenti offerti dal cloud Google è possibile creare velocemente un ambiente di collegamento fra la programmazione Android e la programmazione App Engine

App mobile con l'integrazione di social network e google api per migliorare l'esperienza utente

Questa tesi esamina la progettazione e lo sviluppo di un'applicazione mobile Android che è in grado di gestire l'attività sportiva di un utente. L'applicazione offre numerose funzionalità, che permettono all'utente di eseguire allenamenti per il fitness e allenamenti per la corsa, tenendo sempre sotto controllo i risultati ottenuti e tutte le informazioni necessarie. Oltre ad eseguire allenamenti l'utente può crearne di propri e modificarli a suo piacimento, in più nell'App è inserito lo shop dove l'utilizzatore può comprare allenamenti messi a disposizione direttamente da FitBody. Gli aspetti visti sopra saranno descritti attraverso un'analisi del problema e un'analisi sulla progettazione architetturale. In particolare verranno sottolineati aspetti riguardanti l'interazione tra utenti e l'utilizzo di API che permetteranno all'utilizzatore di condividere le proprie esperienze sul social network Facebook e di avere un'esperienza completa con l'app. In questo scritto si parlerà anche della comunicazione tra applicazione e server, che avviene grazie a chiamate HTTP con metodo POST. Attraverso queste chiamate l'applicazione leggerà e scriverà informazioni sul database online, 'hostato' sulla piattaforma Altervista. L'applicazione web, di cui sarà data solamente un'infarinatura, è stata sviluppata utilizzando il linguaggio di programmazione PHP. Ogni 'response' inviata dal server al client è composta da uno o più oggetti JSON.

Diseño y desarrollo del backend para la explotación de componentes web empleando Google App Engine

La web vive un proceso de cambio constante, basado en una interacción mayor del usuario. A partir de la actual corriente de paradigmas y tecnologías asociadas a la web 2.0, han surgido una serie de estándares de gran utilidad, que cubre la necesidad de los desarrollos actuales de la red. Entre estos se incluyen los componentes web, etiquetas HTML definidas por el usuario que cubren una función concreta dentro de una página. Existe una necesidad de medir la calidad de dichos desarrollos, para discernir si el concepto de componente web supone un cambio revolucionario en el desarrollo de la web 2.0. Para ello, es necesario realizar una explotación de componentes web, considerada como la medición de calidad basada en métricas y definición de un modelo de interconexión de componentes. La plataforma PicBit surge como respuesta a estas cuestiones. Consiste en una plataforma social de construcción de perfiles basada en estos elementos. Desde la perspectiva del usuario final se trata de una herramienta para crear perfiles y comunidades sociales, mientras que desde una perspectiva académica, la plataforma consiste en un entorno de pruebas o sandbox de componentes web. Para ello, será necesario implementar el extremo servidor de dicha plataforma, enfocado a la labor de explotación, por medio de la definición de una interfaz REST de operaciones y un sistema para la recolección de eventos de usuario en la plataforma. Gracias a esta plataforma se podrán discernir qué parámetros influyen positivamente en la experiencia de uso de un componente, así como descubrir el futuro potencial de este tipo de desarrollos.---ABSTRACT---The web evolves into a more interactive platform. From the actual version of the web, named as web 2.0, many paradigms and standards have arisen. One of those standards is web components, a set of concepts to define new HTML tags that covers a specific function inside a web page. It is necessary to measure the quality of this kind of software development, and the aim behind this approach is to determine if this new set of concepts would survive in the actual web paradigm. To achieve this, it is described a model to analyse components, in the terms of quality measure and interconnection model description. PicBit consists of a social platform to use web components. From the point of view of the final user, this platform is a tool to create social profiles using components, whereas from the point of view of technicians, it consists of a sandbox of web components. Thanks to this platform, we will be able to discover those parameters that have a positive effect in the user experience and to discover the potential of this new set of standards into the web 2.0.

Estudi de la plataforma Google App Engine utilitzant Django

L'objectiu principal d'aquest treball es estudiar la plataforma Google App Engine en la seva versió en Phyton. Per a estudiar i provar la plataforma, s'ha desenvolupat una aplicació web de programari lliure que permet la publicació de blogs de viatges. Aquesta aplicació està desenvolupada sobre Django i s'integra amb altres serveis de Google com l'autenticació amb els seus comptes Google Maps o Picasa Web Albums.

Open Device Lab: movement to improve web and app experience

We present here the first part of the literature review regarding our study object, the Open Device Labs. The research on ODLs emerges from the observation of worldwide non-profit movement, which, through mutual collaboration, information and devices sharing, proposes a final improvement on user’s experience with the web and app.

Pilvisovelluskehitys Google App Engine -pilvisovellusalustalla

Tämä Diplomityö keskittyy tutkimaan pilvisovelluskehitystä Google App Engine – pilvisovellusalustalle perustuen kuusi –vaiheiseen vesiputousmalliin sekä tutkimaan Google App Engine -pilvisovellusalustan tarjoamia mahdollisuuksia ja rajoituksia sovelluskehityksen muodossa. Tutkimuksen perusteella kuusi –vaiheinen vesiputousmalli soveltuu pilvisovelluskehitykseen,mikäli vaatimusmäärittely on tarkka jo sovelluskehityksen alkuvaiheessa. Tutkimuksen tuloksena syntyi vaatimusmäärittely MikkoMail –pilvisovellukselle. Vaatimusmäärittelyn pohjalta luotiin MikkoMail –pilvisovellus Google App Engine –pilvisovellusalustalle. Google App Engine –pilvisovellusalusta tukee vain Python- ja Java –ohjelmointikieliä eikä sisällä lainkaan ulkoista tietokantapalveluiden tukea. Tästä syystä Google App Engine -pilvisovellusalusta soveltuu pieniin, keskisuuriin ja pilottiprojektinomaisiin sovelluskehitysprojekteihin.

Diseño e implementación de persistencia en bases de datos basadas en Google App Engine

El mundo de la web admite actualmente los productos desarrollados tanto por desarrolladores profesionales como por usuarios finales con un conocimiento más limitado. A pesar de la diferencia que se puede suponer de calidad entre los productos de ambos, las dos soluciones pueden ser reconocidas y empleadas en una aplicación. En la Web 2.0, este comportamiento se observa en el desarrollo de componentes web. Lo que se persigue en el trabajo es desarrollar un modelo de persistencia que, apoyado por un lado servidor y por uno cliente, recoja las métricas de calidad de los componentes cuando los usuarios interaccionan con ellos. A partir de estas métricas, es posible mejorar la calidad de estos componentes. La forma en la que se van a recoger las métricas es a través de PicBit, la aplicación desarrollada para que los usuarios puedan interconectar diferentes componentes entre ellos sin restricciones, de forma que tras interactuar con ellos puedan expresar su grado de satisfacción, que se recoge para la evaluación de la calidad. Se definen también unas métricas intrínsecas al componente, no determinadas por el usuario y que sirven como referencia de la evaluación. Cuando se tienen tanto las métricas intrínsecas como procedentes del usuario, se realiza una correlación entre ellas que permite analizar las posibles desviaciones entre ellas y determinar la calidad propia del componente. Las conclusiones que se pueden obtener del trabajo es que cuando los usuarios pueden realizar pruebas de usabilidad de forma libre, sin restricciones, es mayor la posibilidad de obtener resultados favorables porque estos resultados muestran cómo usará un usuario final la aplicación. Este método de trabajo se ve favorecido por el número de herramientas que se pueden utilizar hoy para monitorizar el flujo de usuario en el servicio.---ABSTRACT---Nowadays, the web world deals with products developed both by professional developers and by end-users with some limited knowledge. Although the difference between both can be important in quality terms, both are accepted and included in web applications. In web 2.0, this behavior can be recognized in the web components development. The goal pursued in the work presented is to create a persistent model that, supported by an end and a back side, will pick the quality measures of the components when the users interact with them. These measures are the starting point for improving the components. The way in which the measures are going to be picked is through PicBit, the application we have developed in order to allow the users playing with the components without restrictions or rules, so after the interaction they can give their satisfaction mark with the application. This will be the value used to evaluate the quality. Some own measures are also defined, which does not depend on the user and which will be used as a reference point of the evaluation. When the measures from users and own ones are got, their correlation is analyzed to study the differences between them and to establish the quality of the component. The conclusion that can be gained from the project is the importance of giving freedom for users when doing usability tests because it increases the chance to get positive results, in the way the users execute the operations they want with the application. This method is fortunate for having such a number of tools to monitor the user flow when using the service.

Enhanced reproducibility of SADI web service workflows with Galaxy and Docke

Background: Semantic Web technologies have been widely applied in the life sciences, for example by data providers such as OpenLifeData and through web services frameworks such as SADI. The recently reported OpenLifeData2SADI project offers access to the vast OpenLifeData data store through SADI services. Findings: This article describes how to merge data retrieved from OpenLifeData2SADI with other SADI services using the Galaxy bioinformatics analysis platform, thus making this semantic data more amenable to complex analyses. This is demonstrated using a working example, which is made distributable and reproducible through a Docker image that includes SADI tools, along with the data and workflows that constitute the demonstration. Conclusions: The combination of Galaxy and Docker offers a solution for faithfully reproducing and sharing complex data retrieval and analysis workflows based on the SADI Semantic web service design patterns.

Development of a web-service-agents-based family wealth management system

The roiling financial markets, constantly changing tax law and increasing complexity of planning transaction increase the demand of aggregated family wealth management (FWM) services. However, current trend of developing such advisory systems is mainly focusing on financial or investment side. In addition, these existing systems lack of flexibility and are hard to be integrated with other organizational information systems, such as CRM systems. In this paper, a novel architecture of Web-service-agents-based FWM systems has been proposed. Multiple intelligent agents are wrapped as Web services and can communicate with each other via Web service protocols. On the one hand, these agents can collaborate with each other and provide comprehensive FWM advices. On the other hand, each service can work independently to achieve its own tasks. A prototype system for supporting financial advice is also presented to demonstrate the advances of the proposed Webservice- agents-based FWM system architecture.

SwissDock, a protein-small molecule docking web service based on EADock DSS.

Most life science processes involve, at the atomic scale, recognition between two molecules. The prediction of such interactions at the molecular level, by so-called docking software, is a non-trivial task. Docking programs have a wide range of applications ranging from protein engineering to drug design. This article presents SwissDock, a web server dedicated to the docking of small molecules on target proteins. It is based on the EADock DSS engine, combined with setup scripts for curating common problems and for preparing both the target protein and the ligand input files. An efficient Ajax/HTML interface was designed and implemented so that scientists can easily submit dockings and retrieve the predicted complexes. For automated docking tasks, a programmatic SOAP interface has been set up and template programs can be downloaded in Perl, Python and PHP. The web site also provides an access to a database of manually curated complexes, based on the Ligand Protein Database. A wiki and a forum are available to the community to promote interactions between users. The SwissDock web site is available online at http://www.swissdock.ch. We believe it constitutes a step toward generalizing the use of docking tools beyond the traditional molecular modeling community.

The role of network externalities in value creating process of the commercial web service for two-sided international markets

Network externalities and two-sided markets in the context of web services and value creation is not very well discussed topic in academic literature. The explosive rise of the Internet users has created a strong base for many successful web services and pushed many firms towards e-business and online service based business models. Thus the subject of this thesis, the role of network externalities in value creating process of the commer-cial web service for two-sided international markets is very current and interesting topic to examine. The objective of this Master’s Thesis is to advance the study of network externalities from the viewpoint of two-sided markets and network effects as well as describe the value creation & value co-creation process in commercial web service business models. The main proposition suggests that the larger network of customers and the bigger number of users the web service is able to attract, the more value and stronger positive net-work externalities the service is able to create for each customer group. The empirical research of this study was implemented for commercial web service, targeted to Russian consumers and Finnish business users. The findings suggest that the size of the network is highly related to the experi-enced value of the customers and the whole value creation process of commercial web targeted for two-sided international markets varies from the value creation for one-sided or pure domestic markets.

Web Service Composition Systems for the Web Service Challenge - A Detailed Review

This report gives a detailed discussion on the system, algorithms, and techniques that we have applied in order to solve the Web Service Challenges (WSC) of the years 2006 and 2007. These international contests are focused on semantic web service composition. In each challenge of the contests, a repository of web services is given. The input and output parameters of the services in the repository are annotated with semantic concepts. A query to a semantic composition engine contains a set of available input concepts and a set of wanted output concepts. In order to employ an offered service for a requested role, the concepts of the input parameters of the offered operations must be more general than requested (contravariance). In contrast, the concepts of the output parameters of the offered service must be more specific than requested (covariance). The engine should respond to a query by providing a valid composition as fast as possible. We discuss three different methods for web service composition: an uninformed search in form of an IDDFS algorithm, a greedy informed search based on heuristic functions, and a multi-objective genetic algorithm.