No abstract

Data centers are becoming increasingly important infrastructures for many essential applications such as data intensive computing and large-scale network services. A typical future data center can consist of up to hundreds of thousands of servers. Yet, the conventional data center networks are not able to keep up with the network bandwidth requirement for efficiently connecting that huge number of servers in a cost-efficient manner. In this paper, we present DPillar, a highly scalable data center interconnection architecture, which uses only low-end off-theshelf commodity PC servers and switches. DPillar has minimal requirements for the equipment. The switches are low-cost plugand-play layer-2 devices and servers are dual-port commodity PCs. The salient feature of DPillar is that it expands to any number of servers without requiring to physically upgrade the existing servers. We present simple yet efficient routing schemes for DPillar and evaluate the routing performance via simulations.

No abstract

No abstract

No abstract

No abstract

No abstract

UAV swarms have triggered wide concern due to their potential application values in recent years. While there are studies proposed in terms of the architecture design for UAV swarms, two main challenges still exist: (1) Scalability, supporting a large scale of vehicles; (2) Versatility, integrating diversified missions. To this end, a multi-layered and distributed architecture for mission oriented miniature fixed-wing UAV swarms is presented in this paper. The proposed architecture is built on the concept of modularity. It divides the overall system to five layers: low-level control, high-level control, coordination, communication and human interaction layers, and many modules that can be viewed as black boxes with interfaces of inputs and outputs. In this way, not only the complexity of developing a large system can be reduced, but also the versatility of supporting diversified missions can be ensured. Furthermore, the proposed architecture is fully distributed that each UAV performs the decision-making procedure autonomously so as to achieve better scalability. Moreover, different kinds of aerial platforms can be feasibly extended by using the control allocation matrices and the integrated hardware box. A prototype swarm system based on the proposed architecture is built and the proposed architecture is evaluated through field experiments with a scale of 21 fixed-wing UAVs. Particularly, to the best of our knowledge, this paper is the first work which successfully demonstrates formation flight, target recognition and tracking missions within an integrated architecture for fixed-wing UAV swarms through field experiments.