Design and Implementation of a Framework for Performance Management in Service Oriented Virtual Organizations (SOVO PM)

In this research, we propose a framework for performance management in virtual organizations (VOs) equipped with service oriented architecture (SOA). This framework enables networks of organizations to evaluate and manage their collaboration performance and also to align and coordinate their various goals and objectives. Distributed management of VO will be enhanced to reduce the necessity […]

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A New Framework for Method-Level Dynamic Software Updating

Dynamic Software Updating (DSU) is a necessity in the operation of a large computing infrastructure that must deliver high availability. An issue very relevant to the industry is that legacy applications running in data centers were often designed and constructed without due consideration for the need of partial upgrades in the future. The goal of […]

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New consensus ranking heuristics to rank big biological data

Ranking biological data is a difficult task for various reasons. Hence several ranking methods have been proposed, but none of them has been deployed on systems currently used by the scientific community. This is why a good solution is, given a set of rankings, to find a consensus ranking that reflect their common points while […]

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Junior hockey competence analytics

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next. The hops happen mostly gradually, depending on the capacity […]

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Junior hockey competence analytics – Year two

We are developing a wearable hardware sensor and analysis software. The sensor collects activity and performance data, which is then analyzed by software and used to present feedback that players and coaches can use to improve performance.

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Méthode de construction d’entrepôt de données temporalisées de santé guidée par les ontologies

Les systèmes informationnels sont désormais au centre des décisions en santé. Ainsi, les dispositifs médicaux, les dossiers cliniques et sociaux, la recherche, etc. génèrent un très grand volume de données chaque jour associé à des évènements interreliés temporellement. Les établissements de santé désirent réutiliser ces données pour différents types d’analyse et les partager d’une façon […]

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Expert Gestures for Multi-touch Interaction

Modern smartphones and tablets, and many notebook computers rely on multitouch interaction to augment keyboard and mouse input. Multi-touch gestures typically consists of taps and swipes – simple gestures that don’t exploit the full range of technical and human capabilities. In earlier work, we determined that users are willing to learn expert-level gestures, but often […]

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Dolmen: Towards the programmatic assembly of large-scale distributed systems

Modern distributed applications are becoming increasing large and complex. They often bring together independently developed sub-systems (e.g., for storage, batch processing, streaming, application logic, logging, caching) into large, geo-distributed and heterogeneous architectures. Combining, configuring, and deploying these architectures is a difficult and multifaceted task: individual services have their own requirements, configuration spaces, programming models, distribution […]

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Distributed Memory Management for Fast Data

High-volume online stream processing, also known as fast data processing, is becoming increasingly important in a number of different commercial sectors. Unlike big data processing in which data is processed asynchronously in batches, fast data processing performs synchronous data analysis that generates actionable results within a specified deadline. One of the key challenges in building […]

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Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of […]

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Congestion Control for Ethernet Networks supporting ICN and 5G – Year 2

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight. The proposed research project aims at […]

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Context-Aware Advertising Language Analysis and Modeling in Internet Display Ads

Internet display advertising is a substantially growing industry, where advertising spots are dynamically allocated according the product characteristics and the target audience. This is commonly seen on Facebook or Google. However, accurate audience targeting is still an enormous challenge in practice, and often evokes frustration for advertisers and users. However, with the rapid growth and […]

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