To support quality of service guarantees in a scalable manner, aggregate scheduling has attracted a lot of attention in the networking community. However, while there are a large number of results available for flow-based scheduling algorithms, few such results are available for aggregate-based scheduling. In this paper, we study a network implementing Guaranteed Rate (GR) scheduling with First-In-First-Out (FIFO) aggregation. We derive an upper bound on the worst case end-to-end delay for the network. We show that while for a specific network configuration, the derived delay bound is not restricted by the utilization level on the guaranteed rate, it is so for a general network configuration
The goal of this paper is to examine the gains of partial upgrades to existing FIFO networks, to sup...
Abstract — Packet scheduling disciplines play an important role in pro-viding Quality of Service (Qo...
Abstract—Network calculus has proven as a valuable and versatile methodology for worst-case analysis...
This paper evaluates, via both analysis and simulation, the end-to-end (e2e) delay performance of ag...
Abstract. It is important to understand delay bounds of an individual flow in the Internet in order ...
It is important to understand delay bounds of an individual flow in the Internet in order to provide...
We define a class of Guaranteed Rate (GR) scheduling algorithms. The GR class includes Virtual Clock...
As a means of supporting quality of service guarantees, aggregate multiplexing has attracted a lot o...
We consider a network implementing scheduling per aggregate ow. Weshow that the derivation of bounds...
Aggregate scheduling has been proposed as a solution for achieving scalability in large-size network...
Abstract—In this paper, we investigate the fundamental trade-offs in aggregate packet scheduling for...
In this paper we investigate the fundamental trade-offs in aggregate packet scheduling for support o...
We demonstrate that, contrary to what is generally believed, the existing end-to-end delay bounds ap...
First-In First-Out (FIFO) queues are widely used in packet switched communication networks and they ...
In a DiffServ architecture, packets with the same marking are treated as an aggregate at core router...
The goal of this paper is to examine the gains of partial upgrades to existing FIFO networks, to sup...
Abstract — Packet scheduling disciplines play an important role in pro-viding Quality of Service (Qo...
Abstract—Network calculus has proven as a valuable and versatile methodology for worst-case analysis...
This paper evaluates, via both analysis and simulation, the end-to-end (e2e) delay performance of ag...
Abstract. It is important to understand delay bounds of an individual flow in the Internet in order ...
It is important to understand delay bounds of an individual flow in the Internet in order to provide...
We define a class of Guaranteed Rate (GR) scheduling algorithms. The GR class includes Virtual Clock...
As a means of supporting quality of service guarantees, aggregate multiplexing has attracted a lot o...
We consider a network implementing scheduling per aggregate ow. Weshow that the derivation of bounds...
Aggregate scheduling has been proposed as a solution for achieving scalability in large-size network...
Abstract—In this paper, we investigate the fundamental trade-offs in aggregate packet scheduling for...
In this paper we investigate the fundamental trade-offs in aggregate packet scheduling for support o...
We demonstrate that, contrary to what is generally believed, the existing end-to-end delay bounds ap...
First-In First-Out (FIFO) queues are widely used in packet switched communication networks and they ...
In a DiffServ architecture, packets with the same marking are treated as an aggregate at core router...
The goal of this paper is to examine the gains of partial upgrades to existing FIFO networks, to sup...
Abstract — Packet scheduling disciplines play an important role in pro-viding Quality of Service (Qo...
Abstract—Network calculus has proven as a valuable and versatile methodology for worst-case analysis...