Efficient scheduling of transmissions in optical broadcast networks
IEEE/ACM Transactions on Networking (TON)
Packet scheduling in broadcast WDM networks with arbitrary transceiver tuning latencies
IEEE/ACM Transactions on Networking (TON)
Optimal WDM schedules for optical star networks
IEEE/ACM Transactions on Networking (TON)
Journal of High Speed Networks - Special issue on optical networking
Optical burst switching (OBS) - a new paradigm for an optical Internet
Journal of High Speed Networks - Special issue on optical networking
Advances in photonic packet switching: an overview
IEEE Communications Magazine
Techniques for optical packet switching and optical burst switching
IEEE Communications Magazine
Optical burst switching for service differentiation in the next-generation optical Internet
IEEE Communications Magazine
On scheduling optical packet switches with reconfiguration delay
IEEE Journal on Selected Areas in Communications
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The ever-growing demand of network capacity has resulted in the inception of Optical Burst Switching (OBS), offering alloptical transmission, high-speed data rates, and format-transparent switching. However, the current OBS architecture is very complex, requiring costly fiber delay lines and quality-of-service (QoS) management techniques. In this paper, we propose a new OBS architecture based on photonic container switching to be deployed in the core network. We show that our architecture will solve most of the complexities of existing OBS mechanisms and, in fact, will make the core an all-optical zero-packet-loss network that will also guarantee equal QoS to all of the users. The packets are actually packed in fixed-size containers, which will be converted into an optical burst and transmitted through the network. Obviously, a major issue to solve in our architecture is the scheduler design that ensures zero packet loss and no optical-to-electrical switchings in the intermediate nodes. We devise a divide-and-conquer solution for the scheduler design problem and present some efficient algorithms for the same. We also analyze the performance of our algorithms under varying traffic conditions and network topologies to ascertain their efficiency and robustness.