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Data center network has become an important facility for hosting various online services and applications, and thus its performance and underlying technologies are attracting more and more interests. In order to achieve better network performance, recent studies have proposed to tailor data center network traffic management in different aspects, devising various routing and transport schemes. In particular,...
Traffic engineering (TE) is an efficient tool for optimizing traffic routing and balancing the flows in networks. Traffic is dynamic, previous TE optimization over a single traffic matrix (TM) have some limitations, because a single TM can have big measurement errors and is insufficient to depict the traffic flucuations. Thus, we consider using multiple TMs to overcome these limitations. With the...
Traffic Engineering is an efficient tool to balance the network flows and, thus improving the network performance with limited network resources. The goal of traffic engineering is to find an efficient and robust routing to balance the flows with changing traffic. Multiple traffic matrices are good representatives of the changing traffic. The emergence of Software Defined Networking (SDN) provides...
With the rapidly growing of geo-distributed applications in the Internet, there is a huge amount of data generated in geo-distributed datacenters everyday. However, because of region privacy concerns and limitation of inter-DC WAN bandwidth, moving all the geo-distributed data to a single datacenter for centralized processing is not practical. Therefore, we intend to process the data where it generates...
Nowadays, there are two major challenges to detect traffic anomalies in a large scale network. One is how to handle huge amounts of traffic data when we detect traffic anomalies in a network, and the other is how to carry out fast and detailed detection and classification. To address these two challenges, we propose a Change based Effective Frequent flow Features approach (CEFF), which can quickly...
Data Center is now becoming an important facility for many applications (e.g, web search and retail). As TCP can't meet applications' demands for latency and throughput, many tcp-based protocols (e.g, DCTCP, D2TCP, L2DCT) have been proposed. Among them, protocols such as D2TCP incorporate explicit deadline into congestion window adjustment procedure to guarantee flows' latency and protocols such as...
Traffic engineering is a method to balance the flows and optimize the routing in the network. Software defined networking is a new network architecture and we can gain great benefit by migrating the traditional IP network to the SDN-enabled network from the perspective of traffic engineering. However, due to the economical, organizational and technical challenges, migrating to the network with a full...
Today network traffic anomaly detection is very challenging in a big and constantly changing network, because there are millions of flows being transferred in a network at the same time, and the flow numbers change all the time. Although traditional information entropy has been proved to be an effective metric on network traffic anomaly detection, such a metric shows some limitations in large scale...
Traditional information entropy has been proved to be an effective metric on network traffic anomaly detection. However, such a metric shows some limitations in large scale networks with constantly changing flow numbers, and it makes the traditional entropy inefficient for traffic anomaly detection. To address this problem, we propose Adjustable Piecewise Entropy to improve traditional entropy for...
Traffic engineering under OSPF routes along the shortest paths, which may cause network congestion. Software Defined Networking (SDN) is an emerging network architecture which exerts a separation between the control plane and the data plane. The SDN controller can centrally control the network state through modifying the flow tables maintained by routers. Network operators can flexibly split arbitrary...
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