| Sander, V., Adamson, W., Foster, I. and Roy, A., End-to-End Provision of Policy Information for Network QoS, IEEE Symposium on High Performance Distributed Computing, 2001. |
....Network Weather Service project [21] is working to predict the network bandwidth available between two sites on the Internet based upon statistical forecasting. Efforts to address poor network performance include Diffserv [22] Quality of Service (QoS) Reservation [23] Bandwidth Brokering [24], and network and application tuning efforts [3, 6] The work that has been done to date on the use of parallel TCP connections is essentially empirical in nature and is generally from the perspective of an application. Long [8,9] describes some early work done to increase the transfer rate ....
Sander, V. Adamson, W., Foster, I., Alain, R. End-to-End Provision of Policy Information for Network QoS. In 10th High-Performance Distributed Computing, August 2001.
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Sander, V., Adamson, W., Foster, I. and Roy, A., End-to-End Provision of Policy Information for Network QoS, IEEE Symposium on High Performance Distributed Computing, 2001.
No context found.
V. Sander, W. A. Adamson, I. Foster, and A. Roy. End-to-end provision of policy information for network qos. In Proceedings of the 10th Symposium on High Performance Distributed Computing, August 2001.
No context found.
Sander, V., Adamson, W., Foster, I. and Roy, A., End-to-End Provision of Policy Information for Network QoS, IEEE Symposium on High Performance Distributed Computing, 2001.
No context found.
V. Sander, W. A. Adamson, I. Foster, and A. Roy. End-toEnd Provision of Policy Information for Network QoS. In Proc. 10th IEEE Symp. on High Performance Distributed Computing, 2001.
No context found.
V. Sander, W. A. Adamson, I. Foster, and A. Roy, End-to-End Provision of Policy Information for Network QoS, Proceedings of the 10th IEEE Symposium on High Performance Distributed Computing (2001).
....to be given. We apply Multiprotocol Label Switching (MPLS) 13] for this purpose. MPLS is based on a functional decomposition of the network layer into a control component and a forwarding component. This distinction gives a number of options for the implementation of the control component. In [14, 15] we presented the General purpose Architecture for Reservation and Allocation (GARA) which implements an advance reservation framework using heterogeneous resource ensembles. GARA includes a DS reservation manager, which allows to use it as a Bandwidth Broker (BB) for an automated DS network ....
Sander, V., Adamson, W., Foster, I, and Roy, A: End-to-End Provision of Policy Information for Network QoS. IEEE Symposium on High Performance Distributed Computing, (2001)
.... we refer to the protocols used to negotiate these SLAs as the Service Negotiation and Acquisition Protocol (SNAP) The service management approach proposed here extends techniques first developed within the Globus Toolkit s GRAM service [10] and then extended in the experimental GARA system [20, 21, 33]. An implementation of this architecture and protocol can leverage a variety of existing infrastructure, including the Globus Toolkit s Grid Security Infrastructure [18] and Monitoring and Discovery Service [9] We expect SNAP protocol to be easily implemented within the Open Grid Services ....
....of existing infrastructure. Results from GRAM testbeds have shown the feasibility of mapping TSLAs onto a range of local job schedulers, as well as simple time sharing computers [15, 5, 32] The GARA prototype has shown how RSLAs and BSLAs can be mapped down to contemporary network QoS systems [20, 21, 33]. Following this model, SNAP manager services represent adaptation points between the SNAP protocol domain and local RM mechanisms. 6.3 Monitoring A fundamental function for RM systems is the ability to monitor the health and status of individual services and requests. Existing Grid RM services ....
[Article contains additional citation context not shown here]
V. Sander, W. A. Adamson, I. Foster, and A. Roy. End-toEnd Provision of Policy Information for Network QoS. In Proc. 10th IEEE Symp. on High Performance Distributed Computing, 2001.
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