Title:
Experimentation with Event-Based Methods of Adaptive Quality of Service Management
Experimentation with Event-Based Methods of Adaptive Quality of Service Management
Author(s)
West, Richard
Schwan, Karsten
Schwan, Karsten
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Abstract
Many complex distributed applications require quality of service (QoS)
guarantees on the end-to-end transfer of information across a
distributed system. A major problem faced by any system, or
infrastructure, providing QoS guarantees to such applications is that
resource requirements and availability may change at
run-time. Consequently, adaptive resource (and, hence, service)
management mechanisms are required to guarantee quality of service to
these applications.
This paper describes different methods of adaptive quality of service
management, implemented with the event-based mechanisms offered by the
Dionisys quality of service infrastructure. Dionisys allows
applications to influence: (1) how service should be adapted to
maintain required quality, (2) when such adaptations should occur, and
(3) where these adaptations should be performed. In Dionisys, service
managers execute application-specific functions to monitor and adapt
service (and, hence, resource usage and allocation), in order to meet
the quality of service requirements of adaptable applications. This
approach allows service managers to provide service in a manner
specific to the needs of individual applications. Moreover,
applications can monitor and pin-point resource bottlenecks, adapt
their requirements for heavily-demanded resources, or adapt to
different requirements of alternative resources, in order to improve
or maintain their overall quality of service. Likewise, service
managers can cooperate with other service managers and, by using
knowledge of application-specific resource requirements and adaptation
capabilities, each service manager can make better decisions about
resource allocation.
Using a real-time client-server application, built on top of Dionisys,
we compare alternative strategies for adapting and coordinating CPU
and network services. In this fashion, we demonstrate the importance
of flexibility in quality of service management.
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Date Issued
1999
Extent
552581 bytes
Resource Type
Text
Resource Subtype
Technical Report