Network research, as an experimental science, ought to be reproducible. However, it is not a standard practice to share models, methods or... Show moreNetwork research, as an experimental science, ought to be reproducible. However, it is not a standard practice to share models, methods or software code to support experimental evaluation and reproducibility when publishing a network research paper. In this work, we advocate reproducible networking experiments by building a unique testbed consisting of container-based network emulation and physical devices. The testbed provides a realistic and scalable platform for reproducing network research. The testbed supports large-scale network experiments using lightweight virtualization techniques and capable of running across distributed physical machines. We utilize the testbed to reproduce network experiments, and demonstrate the e↵ectiveness by comparing the results with the original published network experiments, such as Hedera, a scalable and adaptive traffic flow scheduling system in data center networks. M.S. in Computer Science, May 2017 Show less
Recent advances in quantum information science enabled the development of quantum communication network prototypes and created an opportunity... Show moreRecent advances in quantum information science enabled the development of quantum communication network prototypes and created an opportunity to study full-stack quantum network architectures. The scale and complexity of quantum networks require cost-efficient means for testing and evaluation. Simulators allow for testing hardware, protocols, and applications cost-effectively before constructing experimental networks. This work develops SeQUeNCe, a comprehensive, customizable quantum network simulator. We have explored SeQUeNCe for quantum communication network evaluation. We use SeQUeNCe to study the performance of the quantum network with different hardware and applications. Additionally, we extend SeQUeNCe to a parallel discrete-event simulator by using the message passing interface (MPI). We comprehensively analyze the benefit and overhead of parallelization. The parallelization technique significantly increases the scalability of SeQUeNCe. In the future, we would like to improve SeQUeNCe in three aspects. First, we plan to continue reducing overhead from parallelization and increasing the scalability of SeQUeNCe. Second, we plan to investigate means to model quantum memory, entanglement protocols, and control protocols to enrich simulation models in the SeQUeNCe library. Third, we plan to integrate hardware with SeQUeNCe to enable high-fidelity analysis. Show less
