Indiana University-Purdue University Indianapolis (IUPUI) / Retrieving data from a patient in real-time is a challenging operation, especially when
requiring information from the network to support the patient’s health. A real-time healthcare
system process is conducted with a continual input, processing, and output of data. It needs to
have the ability to provide different priorities to different applications, users, or data flows, or to
guarantee a certain level of performance to a data flow.
The current Internet does not allow applications to request any special treatment. Every
packet, including delay-sensitive audio and video packets, is treated equally at the routers. This
simplest type service of network is often referred to as best effort, a network service in which the
network does not provide any guarantees that data is delivered or that a user is given a guaranteed
QoS level or a certain priority.
Providing guaranteed services requires routers to manage per-flow states and perform
per-flow operations. Such network architecture requires each router to maintain and manage perflow
state on the control path, and to perform per-flow classification, scheduling, and buffer
management on the data path. This complicated and expensive network architecture is less
scalable and robust than today’s modern stateless network architectures such as Random Early
Dropping (RED) for congestion control, DiffServ for QoS, and the original IP network.
This thesis introduces a new DiffServ-based scheme of IP bandwidth allocation during
congestion, called Proportional Allocation of Bandwidth (PAB) which can be used in all
networks. In PAB scheme, the bandwidth is allocated in proportion to Subscripted Information
Rate (SIR) of the competing flows. PAB implementation uses multiple token buckets to label the
packets at the edge of the network and multilevel threshold queue at the IP routers to discard
packets during congestion.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/2474 |
| Date | 09 March 2011 |
| Creators | Payli, Birhan |
| Contributors | Durresi, Arjan, Tuceryan, Mihran, Xia, Yuni |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
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