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Section: Bilateral Contracts and Grants with Industry
Bilateral Grants with Industry
“Application Performance Bottleneck Detection”, Comcast Gift to R. Teixeira 2018-2019.
Research Program
Application Domains
New Software and Platforms
New Results
- Automated Synthesis of Mediators for Middleware-Layer Protocol Interoperability in the IoT
- Probabilistic Event Dropping for Intermittently Connected Subscribers over Pub/Sub Systems
- Adaptive Mediation for Data Exchange in IoT Systems
- Universal Social Network Bus: Toward the Federation of Heterogeneous Online Social Network Services
- Social Middleware for Civic Engagement
- Mobile Crowd-Sensing as a Resource for Contextualized Urban Public Policies
- Multi-Sensor Calibration Planning in IoT-Enabled Smart Spaces
- User-Centric Context Inference for Mobile Crowdsensing
- Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations
- Detecting Mobile Crowdsensing Context in the Wild
- Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience
- Implications of User Perceived Page Load Time Multi-Modality on Web QoE Measurement
- The News We Like Are Not the News We Visit: News Categories Popularity in Usage Data
- Classification of Load Balancing in the Internet
- MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Research Program
Application Domains
New Software and Platforms
New Results
- Automated Synthesis of Mediators for Middleware-Layer Protocol Interoperability in the IoT
- Probabilistic Event Dropping for Intermittently Connected Subscribers over Pub/Sub Systems
- Adaptive Mediation for Data Exchange in IoT Systems
- Universal Social Network Bus: Toward the Federation of Heterogeneous Online Social Network Services
- Social Middleware for Civic Engagement
- Mobile Crowd-Sensing as a Resource for Contextualized Urban Public Policies
- Multi-Sensor Calibration Planning in IoT-Enabled Smart Spaces
- User-Centric Context Inference for Mobile Crowdsensing
- Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations
- Detecting Mobile Crowdsensing Context in the Wild
- Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience
- Implications of User Perceived Page Load Time Multi-Modality on Web QoE Measurement
- The News We Like Are Not the News We Visit: News Categories Popularity in Usage Data
- Classification of Load Balancing in the Internet
- MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography