The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …

An essential goal of recommendation systems is to provide users with accurate and
personalized recommendations that meet their preferences. With the rapid growth of IoT …

We contend that performance metrics-driven adaptive context caching has a profound
impact on performance efficiency in distributed context management systems (CMS). This …

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 …

In this dissertation, we address the challenges of building a context storage management
system (CSMS) as a core component of the Context as a Service (CoaaS) platform. The …

The Internet of Things (loT) ecosystem is rapidly evolving, offering unprecedented
opportunities to address complex challenges in various sectors, including mobile services …

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 …

Real-time applications increasingly rely on context information to provide relevant and
dependable features. Context queries require large-scale retrieval, inferencing, aggregation …

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 …

The next-generation cyber-physical systems (CPSs) will not only be limited to industries but
will span across multiple application-areas regarding smart cities and regions. These CPSs …