Y. Sinan Hanay

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—Optical packet switching networks promise to provide high-speed data communication and serve as the foundation of the future Internet. A key technological problem is the very small size of packet buffers that can be implemented in the optical domain. Existing protocols, for example the transmission control protocol, do not perform well in such small-buffer(More)
—The exchange of topology information is a potential attack target in mobile ad-hoc networks. To provide an intrinsic security mechanism, it is possible to validate topology advertisements in the control plane against records of the path taken by transmission in the data plane. In this context, we provide a discussion of different path recording mechanisms.(More)
—Reducing the power consumption of network interfaces contributes to lowering the overall power needs of the compute and communication infrastructure. Most modern Ethernet interfaces can operate at one of several data rates. In this paper, we present Queue Length Based Rate Adaptation (QLBRA), which can dynamically adapt the link rate for Ethernet(More)
—Previously, a highly adaptive virtual network topol-ogy (VNT) reconfiguration method called Attractor Selection Based (ASB) topology control was presented. ASB has an important drawback: it can only work with binary path tables. We propose a novel VNT controller by adding multistate path capabilities into ASB. However, adding multistate path capabilities(More)
—As the demand on the Internet bandwidth keeps increasing, all-optical network architectures emerge as a promising solution to high-speed telecommunication networks. However, the performance of optical routers/switches is sensitive to the statistics of Internet traffic due to their limited buffer size, which weakens the optical routers' capability of(More)
We present a novel approach based on machine learning for designing photonic structures. In particular, we focus on strong light confinement that allows the design of an efficient free-space-to-waveguide coupler which is made of Si-slab overlying on the top of silica substrate. The learning algorithm is implemented using bitwise square Si-cells and the(More)