APCC 2016 : 22nd Asia-Pacific Conference on Communications , Aug 25-27, 2016 , Yogyakarta, IndonesiaIn this paper, we consider a data-flow management mechanism for data center networks, in which a centralized controller called arbiter manages data flows. We propose a simple algorithm for the arbiter to distribute flows over different time points and paths, in a preemptive scheduling and traffic load-balancing manner. The proposed algorithm is based on table-driven resource reservation, in which states of all the links in a data-center network are registered in a single table, and its information is updated whenever a new flow-request arrives at the arbiter. We evaluate the performance of the proposed algorithm through simulation experiments...
Data center networks leverage multiple parallel paths con-necting end host pairs to offer high bisec...
Abstract—Data Center (DC) networks exhibit much more cen-tralized characteristics than the legacy In...
ABSTRACT The Quality of Service (QoS) of scheduling between latency-sensitive small data flows (a....
In this work we consider a relatively large and highly dynamic data center network in which flows ha...
With the increasing need to support high performance and distributed cloud-based computing applicati...
In data center networks, traffic needs to be distributed among different paths using traffic optimiz...
Abstract—Datacenter networks suffer unpredictable perfor-mance due to a lack of application level ba...
We advocate a software defined transport (SDT) architecture in which a transport controller schedule...
Data Center (DC) networks exhibit much more centralized characteristics than the legacy Internet, ye...
Datacenters provide cost-effective and flexible access to scalable compute and storage resources nec...
Today’s data centers face extreme challenges in providing low latency. However, fair sharing, a prin...
Software-Defined Networking (SDN) allows for efficient network-wide Traffic Engineering through the...
We consider a flow control algorithm to allocate bandwidth in a network subject to throughput and fa...
The data center has become the infrastructure of most Internet services, and its network carries dif...
Modern data centers host hundreds of applications with hundreds of thousands of flows and varied tra...
Data center networks leverage multiple parallel paths con-necting end host pairs to offer high bisec...
Abstract—Data Center (DC) networks exhibit much more cen-tralized characteristics than the legacy In...
ABSTRACT The Quality of Service (QoS) of scheduling between latency-sensitive small data flows (a....
In this work we consider a relatively large and highly dynamic data center network in which flows ha...
With the increasing need to support high performance and distributed cloud-based computing applicati...
In data center networks, traffic needs to be distributed among different paths using traffic optimiz...
Abstract—Datacenter networks suffer unpredictable perfor-mance due to a lack of application level ba...
We advocate a software defined transport (SDT) architecture in which a transport controller schedule...
Data Center (DC) networks exhibit much more centralized characteristics than the legacy Internet, ye...
Datacenters provide cost-effective and flexible access to scalable compute and storage resources nec...
Today’s data centers face extreme challenges in providing low latency. However, fair sharing, a prin...
Software-Defined Networking (SDN) allows for efficient network-wide Traffic Engineering through the...
We consider a flow control algorithm to allocate bandwidth in a network subject to throughput and fa...
The data center has become the infrastructure of most Internet services, and its network carries dif...
Modern data centers host hundreds of applications with hundreds of thousands of flows and varied tra...
Data center networks leverage multiple parallel paths con-necting end host pairs to offer high bisec...
Abstract—Data Center (DC) networks exhibit much more cen-tralized characteristics than the legacy In...
ABSTRACT The Quality of Service (QoS) of scheduling between latency-sensitive small data flows (a....