Metrics for Evaluating Pervasive Middleware

Abstract

Pervasive computing aims at developing smart environments which enable user to interact with other devices. Pervasive computing includes a middleware to support interoperability, heterogeneity and self-management among different platforms. It provides efficient communications and context awareness among devices. Middleware for pervasive computing provides much more attention to coordinate the devices in the smart environment. The evaluation of the pervasive middleware is a challenging endeavor. The scope of evaluating smart environment is mainly increasing due to various devices involved in that environment. In this paper evaluation metrics are proposed based on the contexts available in the environment, how the devices are used, security and autonomy of smart applications. These metrics are used for evaluating different kind of smart applications

A Simulation Approach to Predicate the Reliability of a Pervasive Software System

“…From another perspective, the evaluation of system architectures is seen as a straightforward task that can be achieved using quantitative figures. Madhusudanan and Prasanna [6] used metrics for pervasive systems that cover key-design aspects in pervasive systems and middleware platforms in specific. For example, the authors evaluate context-awareness for pervasive systems with respect to the number of locations, environment, user activities, time, and physical objects.…”

A policy-based middleware for context-aware pervasive computing

“…The ISO/ IEC 9126 model defines a standard for software evaluation that applies to pervasive (Park et al, 2009). Madhusudanan and Venkatesan (2014) have based the criteria used for pervasive computing applications' evaluation on the context available in the environment, how the devices are handled, security and autonomy. In this work, the FlexRFID middleware is evaluated based on metrics such as flexibility and scalability in terms of interoperability with different devices, and integration with different backend applications, performance in terms of response time when varying many parameters such as number of policies, availability through disseminating real-time data to connected applications based on their defined rules, security and privacy by protecting and controlling access to sensitive data using policies.…”