Abstract Collective Adaptive Systems (CAS) are heterogeneous collections of autonomous
task-oriented systems that cooperate on common goals forming a collective system. This …

A fundamental challenge in large-scale cloud networks and data centers is to achieve highly
efficient server utilization and limit energy consumption, while providing excellent user …

In this paper, we demonstrate the existence of topological states in a new collective
dynamics model. This individual-based model (IBM) describes self-propelled rigid bodies …

We analyze a data-processing system with n clients producing jobs which are processed in
batches by m parallel servers; the system throughput critically depends on the batch size …

In this paper, a dense Internet of Things (IoT) monitoring system for computational intensive
applications is studied in which a large number of devices with computing capability pre …

The design of efficient algorithms is closely linked to the evaluation of their performances.
My work focuses on the use of stochastic models for the performance evaluation of large …

Abstract Space plays an important role in the dynamics of collective adaptive systems (CAS).
There are choices between representations to be made when we model these systems with …

A fundamental challenge in large-scale networked systems viz., data centers and cloud
networks is to distribute tasks to a pool of servers, using minimal instantaneous state …

This Thesis develops new simulation techniques that combine packet-level and fluid-flow
modeling approaches for the study of dynamics in data networks. Novel practical and …