Shakthi Weerasinghe

According to our database, Shakthi Weerasinghe authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Alexey Medvedev, Amin Abken, Alireza Hassani, Guang-Li Huang

ACM Trans. Internet Things, May, 2024

A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications.

Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky, Shakthi Weerasinghe, Guang-Li Huang

CoRR, 2024

Improving the Usefulness of Context Information for IoT Applications: A Middleware-based Approach.

Shakthi Weerasinghe, Kanaka Sai Jagarlamudi, Arkady B. Zaslavsky, Seng W. Loke, Kevin Lee, Guang-Li Huang

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Proactive Context Caching Based on Situation Prediction for Real-Time Mobile IoT Applications.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Guang-Li Huang

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

2023

Context Caching for IoT-Based Applications: Opportunities and Challenges.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Alexey Medvedev, Amin Abken, Alireza Hassani

IEEE Internet Things Mag., December, 2023

Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware.

Alexey Medvedev, Alireza Hassani, Gleb Belov, Shakthi Weerasinghe, Guang-Li Huang, Arkady B. Zaslavsky, Seng W. Loke, Prem Prakash Jayaraman

Sensors, October, 2023

Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng Wai Loke, Alireza Hassani, Alexey Medvedev, Amin Abken

Sensors, 2023

Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Alireza Hassani, Seng W. Loke, Alexey Medvedev, Amin Abken

CoRR, 2023

Adaptive Context Caching for Efficient Distributed Context Management Systems.

Shakthi Yasas Weerasinghe, Arkady B. Zaslavsky, Seng Wai Loke, Amin Abken, Alireza Hassani, Alexey Medvedev

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Towards World Wide Context Management: Architecting Distributed Contextual Intelligence Systems for Real-Time IoT Applications.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Valeh Moghaddam, Christian Becker

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

2022

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Amin Abken, Alireza Hassani

CoRR, 2022

From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Alireza Hassani, Amin Abken, Alexey Medvedev

CoRR, 2022

Estimating the lifetime of transient context for adaptive caching in IoT applications.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Alexey Medvedev, Amin Abken

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022