@article{lee_sichitiu_thuente_2017, title={NEAT: Network link emulation with adaptive time dilation}, volume={104}, ISSN={["1096-0848"]}, DOI={10.1016/j.jpdc.2017.01.013}, abstractNote={In evaluating the performance of highly complex networked systems, emulation is often used as it maintains much of the realism of testbeds, while offering increased flexibility and scalability. In large emulation systems, multiple and heterogeneous virtual machines can be deployed in relatively few general purpose physical hosts. Time dilation is a technique that allows virtual time to pass at a different (and potentially variable) rate with respect to real time, allowing for increased scalability of the emulated system. In this paper we present networking links in a large emulated system employing adaptive time dilation. The link emulation focuses on accurate delay and throughput emulation while allowing varying time dilation factors. To evaluate our system, we measure the delay and throughput of the virtual links under variable system loads.}, journal={JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING}, author={Lee, Hee Won and Sichitiu, Mihail L. and Thuente, David}, year={2017}, month={Jun}, pages={88–98} }
 @article{lee_sichitiu_thuente_2015, title={High-performance emulation of heterogeneous systems using adaptive time dilation}, volume={29}, ISSN={["1741-2846"]}, DOI={10.1177/1094342014554789}, abstractNote={ Building a testbed for evaluating the performance of large-scale heterogeneous systems can be costly and inefficient. Emulation is often used to evaluate the performance of a system in a controlled environment. Time dilation allows virtual machines (VMs) to emulate higher performance than that of their physical machine. We present an approach using adaptive time dilation to emulate large-scale distributed systems composed of heterogeneous machines and Operating Systems (OSs). In our implementation, VMs are globally synchronized. To evaluate our system, distributed VMs running Linux, Windows, FreeBSD, and Junos are emulated on general-purpose physical machines. }, number={2}, journal={INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS}, author={Lee, Hee Won and Sichitiu, Mihail L. and Thuente, David}, year={2015}, pages={166–183} }