Shanika Karunasekera

ECSNeT : A simulator for distributed stream processing on edge and cloud environments

G Amarasinghe, MD de Assunção, A Harwood, S Karunasekera

Journal article  |  2020  |  Future Generation Computer Systems

The objective of Internet of Things (IoT) is ubiquitous computing. As a result many computing enabled, connected devices are deplo..

Introducing Diversion Graph for Real-Time Spatial Data Analysis with Location Based Social Networks

S Kannangara, H Xie, E Tanin, A Harwood, S Karunasekera

Conference Proceedings  |  2020  |  Leibniz International Proceedings in Informatics, LIPIcs

A utilization model for optimization of checkpoint intervals in distributed stream processing systems

S Jayasekara, A Harwood, S Karunasekera

Journal article  |  2020  |  Future Generation Computer Systems

State-of-the-art distributed stream processing systems such as Apache Flink and Storm have recently included checkpointing to prov..

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

Cost-efficient dynamic scheduling of big data applications in apache spark on cloud

MT Islam, SN Srirama, S Karunasekera, R Buyya

Journal article  |  2020  |  Journal of Systems and Software

Job scheduling is one of the most crucial components in managing resources, and efficient execution of big data applications. Spec..

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Y Han, S Karunasekera, C Leckie, A Harwood

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Big Data (Big Data)

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in..

Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions

A Harwood, S Karunasekera, M Vanni, L Falzon, P Padia, A Silva

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Big Data (Big Data)

Currently, the enormous span of social media usage-while providing valuable resources for linguistic behavior analysis-makes track..

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity

Amila Silva, Shanika Karunasekera, Chris Leckie, Ling Luo

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Big Data (Big Data)

Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing..

Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams

Yi Han, Shanika Karunasekera, Christopher Leckie

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Events detected from social media streams often include early signs of accidents, crimes or disasters. Therefore, they can be used..

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Z Ghafoori, JC Bezdek, C Leckie, S Karunasekera

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Unsupervised anomaly detection is commonly performed using a distance or density based technique, such as K-Nearest neighbours, Lo..