Emerging trends and challenges. Enterprise distributed real-time and embedded (DRE) publish/subscribe (pub/sub) systems manage resources and data that are vital to the ongoing objectives of organizations or projects. Examples include

based model means that users may miss interesting events (because no explicit queries are issued) or processing/communication overheads may be high (because users have to continuously issue queries). In this demo, we present Elaps, an efficient location-aware publish/subscribe system that can

The continuous increase of the amount of available data on the Internet and of the number of users, as well as the increasing complexity of the queries –especially the amount of data involved to get an answer – demands the use of efficient, scalable and adaptive systems. In this paper, we propose

Abstract. Supporting advertisements in large publish/subscribe services has an improving influence on the system scalability. The additional application of event routing optimizations based on subscriptions further increases the event throughput and decreases the memory usage of publish

Abstract—The efficiency of matching structures is the key issue for content publish/subscribe systems. In this paper, we propose an efficient matching tree structure, named COBASTREE, for a distributed environment. Particularly, we model a predicate in each subscription filter as an interval

has been gaining relevance in this context. One of the main characteristics of publish/subscribe systems is that they decouple producers and consumers so that they can remain unknown to each other. Therefore, the consideration of data heterogeneity issues is fundamental. However, most pub/sub

Abstract—Publish/subscribe (pub/sub) is a popular communication paradigm in the design of large-scale distributed systems. A provider of a pub/sub service (whether centralized, peer-assisted, or based on a fed-erated organization of cooperatively managed servers) commonly faces two fundamental

Content-based publish/subscribe systems allow matching the content of events with predicates in the subscriptions. However, most existing systems only allow a limited set of operators, such as comparison on primitive data types (string, integer, etc). In this paper, we consider a publish

that decision trees and neural networks can effectively classify the best protocols to use. In particular, decision trees answer questions about which measurements and variables are most important when considering the reliability and latency of pub/sub systems. 1.

In this paper, we propose a new location-aware pub/sub system, Elaps, that continuously monitors moving users subscribing to dy-namic event streams from social media and E-commerce applica-tions. Users are notified instantly when there is a matching event nearby. To the best of our knowledge, Elaps