Publish/Subscribe

PrioDeX: a Data Exchange Middleware for Efficient Event Prioritization in SDN-based IoT systems

Real-time event detection and targeted decision making for emerging mission-critical applications requires systems that extract and process relevant data from connected IoT devices in the environment. In this paper, we propose PrioDeX, a cross-layer …

Probabilistic Event Dropping for Intermittently Connected Subscribers over Pub/Sub Systems

Internet of Things (IoT) aim to leverage data from multiple sensors, actuators and devices for improving peoples' daily life and safety. Multiple data sources must be integrated, analyzed from the corresponding application and notify interested …

FireDeX: a Prioritized IoT Data Exchange Middleware for Emergency Response

Real-time event detection and targeted decision making for emerging mission-critical applications, e.g. smart fire fighting, requires systems that extract and process relevant data from connected IoT devices in the environment. In this paper, we …

Queueing Network Modeling Patterns for Reliable and Unreliable Publish/Subscribe Protocols

Mobile Internet of Things (IoT) applications are typically deployed on resource-constrained devices with intermittent network connectivity. To support the deployment of such applications, the Publish/Subscribe (pub/sub) interaction paradigm is often …

QoS-Aware Resource Allocation for Mobile IoT Pub/Sub Systems

IoT applications are usually characterized by large-scale demand and the widespread use of mobile devices. Similarly, performing interaction among application and system components in a decoupled and elastic way, and enforcing Quality of Service …

Timeliness Evaluation of Intermittent Mobile Connectivity over Pub/Sub Systems

Systems deployed in mobile environments are typically characterized by intermittent connectivity and asynchronous sending/reception of data. To create effective mobile systems for such environments, it is essential to guarantee acceptable levels of …

Leveraging CDR datasets for Context-Rich Performance Modeling of Large-Scale Mobile Pub/Sub Systems

Large-scale mobile environments are characterized by, among others, a large number of mobile users, intermittent connectivity and non-homogeneous arrival rate of data to the users, depending on the region's context. Multiple application scenarios in …