Lightweight Service Oriented Architecture for Pervasive Computing

TL;DR

This paper proposes SLCA, an extended lightweight service-oriented architecture designed to meet the unique demands of pervasive computing environments, emphasizing dynamic adaptability and efficient service composition.

Contribution

It introduces SLCA, a novel architecture extending SOA with lightweight components and local orchestrations tailored for pervasive computing's dynamic and distributed nature.

Findings

SLCA effectively supports dynamic service composition in pervasive environments.

SLCA demonstrates acceptable performance metrics in sample applications.

The architecture facilitates device-based service infrastructure and local orchestrations.

Abstract

Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on networks of computers and data storages. Contrary to most context-aware approaches, we work on the assumption that pervasive software must be able to deal with a dynamic software environment before processing contextual data. After demonstrating that SOA (Service oriented Architecture) and its numerous principles are well adapted for pervasive computing, we present our extended SOA model for pervasive computing, called Service Lightweight Component Architecture (SLCA). SLCA presents various additional principles to meet completely pervasive software constraints: software infrastructure based on services for devices, local orchestrations based on lightweight component architecture and finally encapsulation of those orchestrations into composite services to address distributed composition of services. We present a sample application of the overall approach as well as some relevant measures about SLCA performances.