A distributed resource management architecture that supports advance reservations and co-allocation

Abstract

The realization of end-to-end quality of service (QoS) guarantees in emerging network-based applications requires mechanisms that support first dynamic discovery and then advance or immediate reservation of resources that will often be heterogeneous in type and implementation and independently controlled and administered. We propose the Globus Architecture for Reservation and Allocation (GARA) to address these four issues. GARA treats both reservations and computational elements such as processes, network flows, and memory blocks as first class entities, allowing them to be created, monitored, and managed independently and uniformly. It simplifies management of heterogeneous resource types by defining uniform mechanisms for computers, networks, disk, memory, and other resources. Layering on these standard mechanisms, GARA enables the construction of application-level co-reservation and coallocation libraries that applications can use to dynamically assemble collections of resources, guided by both application QoS requirements and the local administration policy of individual resources. We describe a prototype GARA implementation that supports three different resource typesparallel computers, individual CPUs under control of the Dynamic Soft Real-Time scheduler, and Integrated Services networks-and provide performance results that quantify the costs of our techniques.

Extended Resource Management Using Client Classification and Economic Enhancements

“…Requirements on quality of service (QoS) functionalities by the management of disperse computational resource are considered into the Globus Architecture for Reservation and Allocation (GARA) [6]. The incorporated components are a first step to achieving end-toend QoS guarantees by introducing advanced reservation of resources.…”

QoS management in service-oriented architectures

“…QoS in Grid computing was studied in GARA [6,7], and G-QoSM [1]. In GARA [6,7], resource reservation and actual allocation are separated in order to support advanced resource reservation for critical requests.…”

“…In GARA [6,7], resource reservation and actual allocation are separated in order to support advanced resource reservation for critical requests. G-QoSM [1] extended a UDDI registry.…”

Graph-Based Models of Internetworking Systems

“…In this way the application has good degree of control over QoS without having to deal with low-level details. Examples of QoS-aware middleware are Agilos [36], Mobiware [3], and Globus [25].…”