Shakthi Weerasinghe
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View article: Microservice Logs Analysis Employing AI: A Systematic Literature Review
Microservice Logs Analysis Employing AI: A Systematic Literature Review Open
View article: A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications
A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications Open
Internet of Things (IoT) has seen a prolific rise in recent times and provides the ability to solve several key challenges faced by our societies and environment. Data produced by IoT provides a significant opportunity to infer context tha…
View article: Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware
Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware Open
One of the research directions in Internet of Things (IoT) is the field of Context Management Platforms (CMPs) which is a specific type of IoT middleware. CMPs provide horizontal connectivity between vertically oriented IoT silos resulting…
View article: Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach
Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach Open
Making internet-of-things (IoT)-based applications context-aware demands large amounts of raw data to be collected, interpreted, stored, and reused or repurposed if needed from many domains and applications. Context is transient but interp…
View article: Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB
Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB Open
The rapid growth in Internet of Things (IoT) has ushered in the way for better context-awareness enabling more smarter applications. Although for the growth in the number of IoT devices, Context Management Platforms (CMPs) that integrate d…
View article: Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems Open
Performance metrics-driven context caching has a profound impact on throughput and response time in distributed context management systems for real-time context queries. This paper proposes a reinforcement learning based approach to adapti…
View article: From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey
From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey Open
Context information is in demand more than ever with the rapid increase in the number of context-aware Internet of Things applications developed worldwide. Research in context and context-awareness is being conducted to broaden its applica…