Krešimir Pripužić

Data stream processing systems are used to continuously run mission-critical applications for real-time monitoring and alerting. These systems require high throughput and low latency to process incoming data streams in real time. However, changes in the distribution of incoming data streams over time can cause partition skew, which is defined as an unequal distribution of data partitions among workers, resulting in sub-optimal processing due to an unbalanced load. This paper presents the first solution designed specifically to address partition skew in the context of joining streaming and static data. Our solution uses state-of-the-art principles to monitor processing load, detect load imbalance, and dynamically redistribute partitions, to achieve optimal load balance. To accomplish this, our solution leverages the collocation of streaming and static data, while considering the processing load of the join and the subsequent stream processing operations. Finally, we present the results of an experimental evaluation, in which we compared the throughput and latency of four stream processing pipelines containing such a join. The results show that our solution achieved significantly higher throughput and lower latency than the competing approaches.

Project management helps accomplish the common purpose of a project with defined requirements and desired quality. Teaching project management for graduate and undergraduate students requires combining optimal foundation in theory with maximal usability in practice, as well as project management tools support. Finding an optimal balance between theory and practice, and motivating students to broaden their understanding of the PM area is an exciting and challenging task. If successful, students' research projects may yield attractive outcomes. This paper presents our experience in a PM course and illustrates the resulting student projects.

The foundation of successful software product development today is establishing an effective and efficient teamwork. In order to manage large software development projects it is needed to manage and coordinate virtual teams of programmers, engineers, business analysts and other project stakeholders. Trust is required for effective team communication. Presented software tool enhances cooperative work support by improving virtual team communication. Implemented software architecture is modular and easily upgradable, offering multithreaded client-server communication with multiple servers. Secure communication eminent for maintaining message integrity and confidentiality among team members is implemented using SSL protocol on connections between all servers and clients