Pristupačnost
- Bibliography (CROSBI)
- List of select publications
- Teaching
- Research areas
- Professional memberships
- Personal data
- List of select projects
Dynamic Load Balancing in Stream Processing Pipelines Containing Stream-Static Joins
Bloom Filter Approach for Autonomous Data Acquisition in the Edge-Based MCS Scenario
IoT Technologies Offer New Potentials for People with Disabilities
DEBS grand challenge: real-time detection of air quality improvement with Apache Flink
Performance Modeling of Publish/Subscribe Middleware Components
A Performance Evaluation of Spatial Indices for Geospatial Publish/Subscribe Systems
Autonomous data acquisition in the hierarchical edge-based MCS ecosystem
Energy-efficient mobile crowd sensing in the Internet of Things domain
Edge computing architecture for mobile crowdsensing
Air and Noise Pollution Monitoring in the City of Zagreb by Using Mobile Crowdsensing
Modeling Aggregate Input Load of Interoperable Smart City Services
Approaches to Fuse Fixed and Mobile Air Quality Sensors
Energy-aware and quality-driven sensor management for green mobile crowd sensing
Extended Abstract: Energy-efficient Mobile Crowd Sensing for the Internet of Things
A Mobile Crowd Sensing Ecosystem Enabled by CUPUS: Cloud-based Publish/Subscribe Middleware for the Internet of Things
Comparison of the CUPUS middleware and MQTT protocol for smart city services
A High Throughput Processing Engine for Taxi- Generated Data Streams
The OpenIoT Approach to Sensor Mobility with Quality-Driven Data Acquisition Management
Energy Efficient and Quality-Driven Continuous Sensor Management for Mobile IoT Applications
A Mobile Crowdsensing Ecosystem Enabled by a Cloud- based Publish/Subscribe Middleware
Urban Crowd Sensing Demonstrator: Sense the Zagreb Air
1. Marjanović, Martina; Antonić, Aleksandar; Podnar Žarko, Ivana.
Edge computing architecture for mobile crowdsensing. // IEEE Access. Vol. 6 (2018) , no.1; pp. 10662-10674.
2. Antonić, Aleksandar; Marjanović, Martina; Pripužić, Krešimir; Podnar Žarko, Ivana.
A Mobile Crowd Sensing Ecosystem Enabled by CUPUS: Cloud-based Publish/Subscribe Middleware for the Internet of Things. // Future generation computer systems. Vol. 56 (2016) ; pp. 607-622.
3. Marjanović, Martina; Skorin-Kapov, Lea; Pripužić, Krešimir; Antonić, Aleksandar; Podnar Žarko, Ivana.
Energy-aware and quality-driven sensor management for green mobile crowd sensing. // Journal of network and computer applications. Vol. 59 (2016) ; pp. 95-108.
Teaching
University undergraduate
- Final BSc Thesis (Lecturers)
- Project C (Lecturers)
University graduate
- Advanced Architectures of Telecommunication Networks (Lecturer in charge)
- Advanced Architectures of Telecommunication Networks (Lecturer in charge)
- Complex Networks (Lecturer in charge)
- Data Visualization (Lecturer in charge)
- Network and Distributed Systems Reliability (Lecturer in charge)
- Network Performance and Traffic (Lecturer in charge)
- Diploma thesis (Lecturers)
- Distributed Big Data Processing (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Seminar 1 (Lecturers)
- Seminar 2 (Lecturers)
- Laboratory of Telecommunication and Informatics 1 (Laboratory exercises)
Postgraduate doctoral study programme
- Selected Topics in Distributed Big Data Processing (Lecturer in charge)
Competences
-
Computers and information processing
Computer applications Edge computing Big Data applications Green computing Computer networks Crowdsourcing Internet of Things Linked data Performance analysis Data processing Data analysis Data collection Data preprocessing Crowdsourcing Internet of Things Distributed computing Collaborative work Crowdsourcing Distributed information systems Publish-subscribe Internet of Things Context-aware services -
Professional communication
Information systems Data processing Distributed information systems -
Communications technology
Communication networks Crowdsourcing Internet of Things Linked data Mobile nodes Quality of service Publish subscribe systems -
Mathematics
Distributed algorithms
Professional memberships
- IEEE
- IEEE Young Professionals
Personal data
List of select projects
RETROFIT: Efficient Real-Time Processing of Fast Geospatial Data - research project funded by the Croatian Science Foundation (role in project: researcher, 03/2018 - 03/2023, project leader: Associate professor Krešimir Pripužić, Ph.D.)
DATACROSS: Advanced methods and technologies in Data Science and Cooperative Systems - esearch project funded by the European Regional Development Fund (role in project: researcher, 11/2017 - 10/2022, project leader: Full professor Ivan Petrović, Ph.D.)
symbIoTe: Symbiosis of smart objects across IoT environments - H2020 RIA project H2020-ICT-2015, no. 688156 (role in project: researcher, 01/2016 - 12/2018, project technical coordinator: Full professor Ivana Podnar Žarko, Ph.D.)
OpenIoT: Open Source Solution for the Internet of Things into the Cloud - FP7 project ICT-2011.1.3, no. 287305 (role in project: researcher, 06/2013. - 02/2015., project leader: Full professor Manfred Hasuwirth, Ph.D.)
HUTS: Human-centric Communications in Smart Networks - esearch project funded by the Croatian Science Foundation (role in project: researcher, 10/2014. - 09/2017., project leader: Full professor Maja Matijašević, Ph.D.)