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   https://doi.org/10.1061/9780784485460.005  

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2. To Ship or Not to (Function) Ship

   Liu, Feilong; Kamat, Niranjan; Blanas, Spyros; Nandi, Arnab (September 2018, 2018 IEEE High Performance Extreme Computing Conference (HPEC '18))

   Sampling is often used to reduce query latency for interactive big data analytics. The established parallel data processing paradigm relies on function shipping, where a coordinator dispatches queries to worker nodes and then collects the results. The commoditization of high-performance networking makes data shipping possible, where the coordinator directly reads data in the workers’ memory using RDMA while workers process other queries. In this work, we explore when to use function shipping or data shipping for interactive query processing with sampling. Whether function shipping or data shipping should be preferred depends on the amount of data transferred, the current CPU utilization and the sampling method. The results show that data shipping is up to 6.5× faster when performing clustered sampling with heavily-utilized workers. 

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3. Navigating the New Arctic: Insights into Ship Activities, Ice Modeling, and Stakeholder Engagement in the U.S. Arctic Waters

   Peel, Grant; Groeschel, Virginia; Behnen, Jonas; Demir, Ozgur; Hendrikse, Hayo; Francis, Oceana; Gedikli, Ersegun D (May 2024, ASCE (American Society of Civil Engineers))

   Zufelt, John; Yang, Zhaohui (Ed.)

   In this paper, we focus on investigating ship activities in the United States’ Arctic waters and developing new viscoelastic materials that can mimic specific ice behavior. This is a significant challenge, and we discuss potential positive outcomes and how the acquired knowledge can contribute to understanding ice behavior in Arctic and Sub-Arctic regions. We first define ice and ship statistics, providing a foundational understanding of potential ice-ship interactions. We then describe the development of thought experiments for wave-ice interactions and the creation of a numerical environment for modeling purposes. This step is crucial for simulating various scenarios related to ice and wave dynamics, ultimately contributing to the design of ships capable of navigating safely in diverse Arctic conditions. Finally, stakeholder and community engagement is addressed, recognizing the importance of involving local perspectives and insights to ensure practical, socially responsible, and effective solutions. 

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4. Ship Compute or Ship Data? Why Not Both?

   You, Jie; Wu, Jingfeng; Jin, Xin; Chowdhury, Mosharaf (January 2021, NSDI 2021)

   null (Ed.)
5. Ship Compute or Ship Data? Why Not Both?

   You, Jie; Wu, Jingfeng; Jin, Xin; Chowdhury, Mosharaf (April 2021, 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI'21))

   null (Ed.)