Real-time applications such as multimedia and gaming require stringent performance guarantees, usually enforced by a tight upper bound on the maximum end-to-end delay. For FIFO multiplexed on-chip packet switched networks we consider worst-case delay bounds for Variable Bit-Rate (VBR) flows with aggregate scheduling, which schedules multiple flows as an aggregate flow. VBR Flows are characterized by a maximum transfer size, peak rate, burstiness, and average sustainable rate. Based on network calculus, we present and prove theorems to derive per-flow end-to-end Equivalent Service Curves (ESC) which are in turn used for computing Least Upper Delay Bounds (LUDBs) of individual flows. In a realistic case study we find that the end-to-end delay...
It is important to understand delay bounds of an individual flow in the Internet in order to provide...
Aggregate scheduling has been proposed as a solution for achieving scalability in large-size network...
In this paper, we compute the actual worst-case end-to-end delay for a flow in a feed-forward networ...
Real-time applications such as multimedia and gaming require stringent performance guarantees, usual...
We propose an approach for computing the end-to-end delay bound of individual variable bit-rate flow...
In this paper we address the problem of finding good end-to-end delay bounds for single leaky-bucket...
Network On Chip (NoC) integrate real time application that require strength performance guaranties, ...
This paper addresses the problem of estimating the worst-case end-to-end delay for a flow in a tande...
In this paper we address the problem of finding end-to-end delay bounds for single leaky-bucket shap...
A fundamental contribution of network calculus is the con-volution-form representation of networks w...
Abstract—Network calculus has proven as a valuable and versatile methodology for worst-case analysis...
As a means of supporting quality of service guarantees, aggregate multiplexing has attracted a lot o...
We define a class of Guaranteed Rate (GR) scheduling algorithms. The GR class includes Virtual Clock...
Abstract. It is important to understand delay bounds of an individual flow in the Internet in order ...
This paper addresses the problem of computing end-to-end delay bounds for a traffic flow traversing ...
It is important to understand delay bounds of an individual flow in the Internet in order to provide...
Aggregate scheduling has been proposed as a solution for achieving scalability in large-size network...
In this paper, we compute the actual worst-case end-to-end delay for a flow in a feed-forward networ...
Real-time applications such as multimedia and gaming require stringent performance guarantees, usual...
We propose an approach for computing the end-to-end delay bound of individual variable bit-rate flow...
In this paper we address the problem of finding good end-to-end delay bounds for single leaky-bucket...
Network On Chip (NoC) integrate real time application that require strength performance guaranties, ...
This paper addresses the problem of estimating the worst-case end-to-end delay for a flow in a tande...
In this paper we address the problem of finding end-to-end delay bounds for single leaky-bucket shap...
A fundamental contribution of network calculus is the con-volution-form representation of networks w...
Abstract—Network calculus has proven as a valuable and versatile methodology for worst-case analysis...
As a means of supporting quality of service guarantees, aggregate multiplexing has attracted a lot o...
We define a class of Guaranteed Rate (GR) scheduling algorithms. The GR class includes Virtual Clock...
Abstract. It is important to understand delay bounds of an individual flow in the Internet in order ...
This paper addresses the problem of computing end-to-end delay bounds for a traffic flow traversing ...
It is important to understand delay bounds of an individual flow in the Internet in order to provide...
Aggregate scheduling has been proposed as a solution for achieving scalability in large-size network...
In this paper, we compute the actual worst-case end-to-end delay for a flow in a feed-forward networ...