Network support for application-oriented QoS

Chandra, Prashant; Fisher, Allan L.; Kosak, C.; Steenkiste, Peter

doi:10.1109/iwqos.1998.675238

Cited by 19 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, control actions may be decided dynamically according to current network status. This approach promotes network adaptation to application characteristics in addition to adapting applications to network conditions as proposed in works [16][17][18].…”

Section: Static Policy Decisionmentioning

confidence: 99%

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

Ahmed

Boutaba

Mehaoua

2005

Computer Communications

View full text Add to dashboard Cite

This paper presents a practical approach to managing multimedia traffic in DiffServ network, using network monitoring feedback and control. We exploit the flexibility of multimedia traffic and process network level parameters to adapt the traffic according to the current state of the network. The latter is determined based on reports sent by bandwidth monitors installed on each node of a DiffServ Domain. The bandwidth monitors interact with a policy server which, depending on the network state, decides the policy(ies) that should be enforced by the DiffServ network. The implementation of the selected policies typically leads to accepting, remarking, or dropping the multimedia traffic entering the network. Multimedia streams may be assigned different levels of QoS, as interpreted by the marker at the DiffServ edge router and marked according to network state. To achieve such dynamic QoS adaptation for multimedia applications, we have implemented and evaluated a policy-based management system. Performance evaluation shows that multimedia applications adapt better to network conditions using our approach. q

show abstract

Section: Static Policy Decisionmentioning

confidence: 99%

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

Ahmed

Boutaba

Mehaoua

2005

Computer Communications

View full text Add to dashboard Cite

show abstract

“…IQ-Services may be associated with clients, servers, or intermediate nodes, thereby forming an overlay network. Typical configurations of overlays used in interactive applications are described in [32,5]. We are not concerned with how to best map overlays to communication/processor networks, but note that the dynamic behavior of end users in wide area collaborations implies that it must be possible to create overlays dynamically, when desired by applications or when indicated by substantial changes in network or machine resources.…”

Section: Large-data Transfers Via Iq-gridftpmentioning

confidence: 99%

IQ‐Services: network‐aware middleware for interactive large‐data applications

Cai¹,

Eisenhauer²,

He³

et al. 2005

Concurrency and Computation

View full text Add to dashboard Cite

IQ-Services are application-specific, resource-aware code modules executed by data transport middleware. They constitute a 'thin' layer between application components and the underlying computational and communication resources that implements the data manipulations necessary to permit wide-area collaborations to proceed smoothly, despite dynamic resource variations. IQ-Services interact with the application and resource layers via dynamic performance attributes, and end-to-end implementations of such attributes also permit clients to interact with data providers. Joint middleware/resource and provider/consumer interactions implement a cooperative approach to data management for the large-data applications targeted by our research. Experimental results in this paper demonstrate substantial performance improvements attained by coordinating network-level with service-level adaptations of the data being transported and by permitting end users to dynamically deploy and use application-specific services for manipulating data in ways suitable for their current needs.

show abstract

“…Typical configurations of overlays used in interactive applications are described in [16,2]. We are not concerned with how to best map overlays to communication/processor networks, but note that an aspect of overlays inherent to our work is that their dynamic nature implies that it must be possible to create and then use services dynamically, when desired by applications or when indicated by substantial changes in network or machine resources.…”

Section: Wide-area Scientific Collaborationmentioning

confidence: 99%

IQ-services: resource-aware middleware for heterogeneous applications

Cai¹,

Eisenhauer

Poellabauer

et al.

18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.

View full text Add to dashboard Cite

Heterogeneous computing platforms constitute a challenging execution environment for distributed applications. This paper presents a 'systems' view of effective platform usage, by demonstrating the need for application software to be continuously 'aware' of the resources currently available on their underlying heterogeneous computing platforms. Our approach to the implementation of resource awareness is one that (1) provides a 'thin' middleware layer of resource aware services that permit applications to react to changes in resource availability and resources to be managed in accordance with application needs, and that (2) develops compiler-and application-level techniques for dynamic 'service morphing', the goal being to make it easy for application-level services to adjust to runtime changes in application needs or in platform resources. The specific results presented in this paper are focused on large-data applications, for which the IQ-Services 'morphing' layer implements the data manipulations necessary to permit wide-area interactive or multimedia applications to proceed smoothly despite variations in underlying computing and network resources. IQ-Services interact with the systems layer via dynamic performance attributes, and end-to-end implementations of such attributes also enable clients to interact with servers. This results in a cooperative approach to data management for the large-data applications targeted by our research. We present and experiment with sample IQ-Services implemented for a wide-area collaboration in which multiple end users utilize different graphical views of the data being produced by a scientific simulation. The testbed used in experiments is comprised of high end machines connected via a local area backbone, remote machines connected via the Internet, and 'home' machines connected via a DSL link. Experimental results demonstrate substantial performance improvements attained by coordinating network-level with service-level adaptations of the data being transported and by permitting end users to dynamically deploy and use application-specific services for manipulating data in ways suitable for their current needs.

show abstract

Network support for application-oriented QoS

Cited by 19 publications

References 14 publications

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

A measurement-based approach for dynamic QoS adaptation in DiffServ networks

IQ‐Services: network‐aware middleware for interactive large‐data applications

IQ-services: resource-aware middleware for heterogeneous applications

Contact Info

Product

Resources

About