QUALITY OF SERVICE PROVISIONING IN DATA GRIDS

Grid computing offers a model for solving massive computational problems using large numbers of computers arranged as clusters embedded in a distributed telecommunications infrastructure. Grid Computing's focus on the ability to support computation across adminisfrative domains sets it apart from fraditional disfributed computing. Grid computing involves sharing heterogeneous resources (based on different platforms, hardware/software architectures, and computer languages), located in different places belonging to different adminisfrative domains over a network using open standards. In short, it involves vitalising computing resources. A basic requirement of a Grid Computing system is the ability to provide the Quality of Service (QoS) requirements necessary for the end-user community. These QoS validations must be a basic feature in any Grid system, and must be done in congruence with the available resource mafrices. This paper presents an overview of different Grid System QoS Architectures to provide endto- end QoS for high-end applications—those applications consuming a variety of resources and expecting high-performance. QoS involves not only fraditional network QoS, but other types of QoS, such as CPU and disk, to ensure that the application receives the performance it needsSchool of Computin