CAAM: A Context Aware Adaptation Model for Mobile Grid Service Infrastructure

Abstract

Mobile and smart devices can play important roles in service provisioning and consumption in a grid-based service infrastructure. However, these devices and their unstable network are plagued with challenging issues that have made their integration with grid infrastructure a serious burden. Intermittent connectivity, bandwidth fluctuation, low memory, among others, cause high responsiveness in service delivery when these devices are used for service access. Adaptation capabilities can be very useful at addressing these issues. Therefore, this paper presents a utility function based Context Aware Adaptation Model(CAAM) that can monitor the service client's context, and uses a utility function based algorithm to take self reconfiguration decision in order to adapt the interaction between service consumers and service providers. Results from simulation experiments carried out on the model proved that adaptation is very useful at addressing problem of high responsiveness thereby improving on the quality of service.

Context aware service provisioning in mobile grid

“…Park et al (2006) describe a system for obtaining and describing device context information such as device capabilities and user preferences for context-aware services in the ubiquitous device collaboration framework called Celadon. Otebolaku et al (2008) presents Context Aware Adaptation Model (CAAM) that can monitor the service client's context, and uses a utility function based algorithm to take self-reconfiguration decision in order to adapt the interaction between service consumers and service providers. Guan et al (2005) present a system infrastructure that allows local mobile devices to interact with the grid.…”

“…), meanwhile, mobile devices can provide service or resource to grid users, such as PDAs, cellular phones, handsets or wearable computers, laptops with GPS service, mobile service, etc. (Otebolaku et al, 2008). Mobile grid can provide end users with grid services such as music, medical, accounting, message alert service, function estimation, data mining, assurance and so on.…”

Zone Based Job Scheduling In Mobile Grid Environment

“…With the advent of high bandwidth third-generation mobile networks and other wireless networks, grid computing has migrated from traditional parallel and distributed computing to pervasive and utility computing based on the wireless networks and mobile devices, which results in the emergence of a new computing paradigm named mobile grid. Mobile grid integrates traditional wired grid through wireless channel to share grid resources to mobile users or provide resources to grid [1]. Mobile devices have advantages over fixed computing resources such as mobility, portability, and pervasiveness.…”