Spring Framework

Summary

The Spring Framework is an application framework and inversion of control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions for building web applications on top of the Java EE (Enterprise Edition) platform. The framework does not impose any specific programming model.. The framework has become popular in the Java community as an addition to the Enterprise JavaBeans (EJB) model. The Spring Framework is open source. Version history The first version was written by Rod Johnson, who released the framework with the publication of his book Expert One-on-One J2EE Design and Development in October 2002. The framework was first released under the Apache 2.0 license in June 2003. The first production release, 1.0, was released in March 2004. The Spring 1.2.6 framework won a Jolt productivity award and a JAX Innovation Award in 2006. Spring 2.0 was released in October 2006, Spring 2.5 in November 2007, Spring

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Predicting behavior of Twitter Users

Adela Maznikar

Social networks today are great source of data which can be used and analyzed in different ways. In our project the main goal is to predict the behavior of the users, more accurately said: we try to predict what will a particular user tweet in the future, when given a training set of existing URL mentions. The topic has been previously explored in the paper Outtweeting the Twitterers-Predicting Information Cascades in Microblogs by Wojciech Galuba, Karl Aberer, Dipanjan Chakraborty, Zoran Despotovic, Wolfgang Kellerer and our work is the extension of their research. As mentioned in their paper, accurate predictions can be used for many purposes. Some of them are: personalized recommendation, ranking and filtering of the stream of tweets that the user sees etc. Also. it can be used in predicting in virality of a certain URL which can help in marketing campaigns for predicting the success of that campaign. One of the main tasks on this project is: Build a framework which can rank, evaluate different models of predictions with online data. We made a tool/framework in Java that can work with different models of predictions, the evaluator just need to specify the model of prediction with very little code and the framework offers a lot of support for calculating usually used parameters in the model so the prediction is made really easier once the model is known. However in order to test if our framework works correctly, we implemented two models which will be described further in the report and we were working with offline data.

2011

Framework for simulating deformable models and estimating their physical properties

Fabian Kappeler

This work describes the development of a software framework allowing to simulate range data acquired with different kind of sensors such as stereo camera and ultrasonic probe. The sensors characteristic error are modeled with probability density functions. The range data are used to describe the external shape of deformable objects and combining them with force measurements it allows to estimate the physical properties of the object.

2008

High-Performance Transactional Event Processing

Antonio Cunei, Rachid Guerraoui, Jesper Honig Spring

This paper presents a transactional framework for low-latency, high-performance, concurrent event processing in Java. At the heart of our framework lies Reﬂexes, a restricted programming model for highly responsive systems. A Reﬂex task is an event processor that can run at a higher priority and preempt any other Java thread, including the garbage collector. It runs in an obstruction-free manner with time-oblivious code. We extend Reﬂexes with a publish/subscribe communication system, it- self based on an optimistic transactional event processing scheme, that provides eﬃcient coordination between time-critical, low-latency tasks.We report on the comparison with a commercial JVM, and show that it is possible for tasks to achieve 50 µs response times with way less than 1% of the executions failing to meet their deadlines.

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009