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1. From cloud computing to sky computing

   https://doi.org/10.1145/3458336.3465301  

   Stoica, Ion; Shenker, Scott (June 2021, HotOS '21: Proceedings of the Workshop on Hot Topics in Operating Systems)

   We consider the future of cloud computing and ask how we might guide it towards a more coherent service we call sky computing. The barriers are more economic than technical, and we propose reciprocal peering as a key enabling step. 

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2. Simplifying Cloud Management with Cloudless Computing

   https://doi.org/10.1145/3626111.3628206  

   Qiu, Yiming; Kon, Patrick Tser; Xing, Jiarong; Huang, Yibo; Liu, Hongyi; Wang, Xinyu; Huang, Peng; Chowdhury, Mosharaf; Chen, Ang (November 2023, ACM)
3. Timely Cloud Computing: Preemption and Waiting

   https://doi.org/10.1109/ALLERTON.2019.8919891  

   Arafa, Ahmed; Yates, Roy D.; Poor, H. Vincent (September 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton))

   The notion of timely status updating is investigated in the context of cloud computing. Measurements of a time-varying process of interest are acquired by a sensor node, and uploaded to a cloud server to undergo some required computations. These computations have random service times that are independent and identically distributed across different uploads. After the computations are done, the results are delivered to a monitor, constituting an update. The goal is to keep the monitor continuously fed with fresh updates over time, which is assessed by an age-of-information(AoI) metric. A scheduler is employed to optimize the measurement acquisition times. Following an update, an idle waiting period may be imposed by the scheduler before acquiring a new measurement. The scheduler also has the capability to preempt a measurement in progress if its service time grows above a certain cutoff time, and upload a fresher measurement in its place. Focusing on stationary deterministic policies, in which waiting times are deterministic functions of the instantaneous AoI and the cutoff time is fixed for all uploads, it is shown that the optimal waiting policy that minimizes the long term average AoI has a threshold structure, in which a new measurement is uploaded following an update only if the AoI grows above a certain threshold that is a function of the service time distribution and the cutoff time. The optimal cutoff is then found for standard and shifted exponential service times. While it has been previously reported that waiting before updating can be beneficial for AoI, it is shown in this work that preemption of late updates can be even more beneficial. 

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4. Jetstream2: Accelerating cloud computing via Jetstream

   https://doi.org/10.1145/3437359.3465565  

   Hancock, David Y.; Fischer, Jeremy; Lowe, John Michael; Snapp-Childs, Winona; Pierce, Marlon; Marru, Suresh; Coulter, J. Eric; Vaughn, Matthew; Beck, Brian; Merchant, Nirav; et al (July 2021, Proceedings of the 2021 Practice & Experience in Advanced Research Computing (PEARC) Conference)

   null (Ed.)

   Jetstream2 will be a category I production cloud resource that is part of the National Science Foundation’s Innovative HPC Program. The project’s aim is to accelerate science and engineering by providing “on-demand” programmable infrastructure built around a core system at Indiana University and four regional sites. Jetstream2 is an evolution of the Jetstream platform, which functions primarily as an Infrastructure-as-a-Service cloud. The lessons learned in cloud architecture, distributed storage, and container orchestration have inspired changes in both hardware and software for Jetstream2. These lessons have wide implications as institutions converge HPC and cloud technology while building on prior work when deploying their own cloud environments. Jetstream2’s next-generation hardware, robust open-source software, and enhanced virtualization will provide a significant platform to further cloud adoption within the US research and education communities. 

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5. Simplifying Cloud Management with Cloudless Computing

   Qiu, Yiming; Kon, Patrick; Xing, Jiarong; Huang, Yibo; Liu, Hongyi; Wang, Xinyu; Huang, Peng; Chowdhury, Mosharaf; Chen, Ang (November 2023, ACM HotNets)