Pairwise Location-Aware Publish/Subscribe for Geo-Textual Data Streams

Modelling Geo Data for Location-based Services

Detecting Emergency Events and Geo-Location Awareness from Twitter Streams

the rapidly increasing number of messages on twitter is quite interesting. Through twitter streaming, this paper is capable of delivering tweets for any keywords from clients all around the world or Hashtag in real-time. However, semantic topic extraction and tracking the userinterested news events from messages on twitter can be considered as a challenging task. In this paper focused on detect...

Exploratory analysis of textual data streams

In this paper, we address exploratory analysis of textual data streams and we propose a bootstrapping process based on a combination of keyword similarity and clustering techniques to: i) classify documents into fine-grained similarity clusters, based on keyword commonalities; ii) aggregate similar clusters into larger document collections sharing a richer, more user-prominent keyword set that ...

Window-aware Load Shedding for Data Streams

Data stream management systems may be subject to higher input rates than their resources can handle. In this case, results get delayed and Quality of Service (QoS) at system outputs may fall below acceptable levels. Load shedding addresses this problem by allowing data loss in exchange for reduced latency. Drop operators are placed at carefully chosen points in a query plan, in order to relieve...

Bohr: Similarity Aware Geo-distributed Data Analytics

We propose Bohr, a similarity aware geo-distributed data analytics system that minimizes query completion time. The key idea is to exploit similarity between data in different data centers (DCs), and transfer similar data from the bottleneck DC to other sites with more WAN bandwidth. Though these sites have more input data to process, these data are more similar and can be more efficiently aggr...