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- short-paperApril 2024
Serverless End Game: Disaggregation enabling Transparency
SESAME '24: Proceedings of the 2nd Workshop on SErverless Systems, Applications and MEthodologiesApril 2024, Pages 9–14https://doi.org/10.1145/3642977.3652094For many years, the distributed systems community has struggled to smooth the transition from local to remote computing. Transparency means concealing the complexities of distributed programming like remote locations, failures or scaling. For us, full ...
- articleFebruary 2024
WattScope: Non-intrusive Application-level Power Disaggregation in Datacenters
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 4March 2024, Pages 24–25https://doi.org/10.1145/3649477.3649491WattScope is a system for non-intrusively estimating the power consumption of individual applications using external measurements of a server's aggregate power usage and without requiring direct access to the server's operating system or applications. ...
- research-articleDecember 2023
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 4Article No.: 270, Pages 1–27https://doi.org/10.1145/3626764Cloud-native databases become increasingly popular while exposing to greater data security and correctness risks. Existing verifiable outsourced databases overlook either the correctness risk of transactions, or the disaggregation architecture: a key ...
- research-articleOctober 2023
Project Silica: Towards Sustainable Cloud Archival Storage in Glass
- Patrick Anderson,
- Erika Blancada Aranas,
- Youssef Assaf,
- Raphael Behrendt,
- Richard Black,
- Marco Caballero,
- Pashmina Cameron,
- Burcu Canakci,
- Thales De Carvalho,
- Andromachi Chatzieleftheriou,
- Rebekah Storan Clarke,
- James Clegg,
- Daniel Cletheroe,
- Bridgette Cooper,
- Tim Deegan,
- Austin Donnelly,
- Rokas Drevinskas,
- Alexander Gaunt,
- Christos Gkantsidis,
- Ariel Gomez Diaz,
- Istvan Haller,
- Freddie Hong,
- Teodora Ilieva,
- Shashidhar Joshi,
- Russell Joyce,
- Mint Kunkel,
- David Lara,
- Sergey Legtchenko,
- Fanglin Linda Liu,
- Bruno Magalhaes,
- Alana Marzoev,
- Marvin Mcnett,
- Jayashree Mohan,
- Michael Myrah,
- Trong Nguyen,
- Sebastian Nowozin,
- Aaron Ogus,
- Hiske Overweg,
- Antony Rowstron,
- Maneesh Sah,
- Masaaki Sakakura,
- Peter Scholtz,
- Nina Schreiner,
- Omer Sella,
- Adam Smith,
- Ioan Stefanovici,
- David Sweeney,
- Benn Thomsen,
- Govert Verkes,
- Phil Wainman,
- Jonathan Westcott,
- Luke Weston,
- Charles Whittaker,
- Pablo Wilke Berenguer,
- Hugh Williams,
- Thomas Winkler,
- Stefan Winzeck
SOSP '23: Proceedings of the 29th Symposium on Operating Systems PrinciplesOctober 2023, Pages 166–181https://doi.org/10.1145/3600006.3613208Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to ...
- research-articleJune 2023
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning
- Hanyu Zhao,
- Zhi Yang,
- Yu Cheng,
- Chao Tian,
- Shiru Ren,
- Wencong Xiao,
- Man Yuan,
- Langshi Chen,
- Kaibo Liu,
- Yang Zhang,
- Yong Li,
- Wei Lin
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 2Article No.: 193, Pages 1–25https://doi.org/10.1145/3589773Training data pre-processing pipelines are essential to deep learning (DL). As the performance of model training keeps increasing with both hardware advancements (e.g., faster GPUs) and various software optimizations, the data pre-processing on CPUs is ...
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- research-articleNovember 2022Best Paper
An ultra-low latency and compatible PCIe interconnect for rack-scale communication
- Yibo Huang,
- Yukai Huang,
- Ming Yan,
- Jiayu Hu,
- Cunming Liang,
- Yang Xu,
- Wenxiong Zou,
- Yiming Zhang,
- Rui Zhang,
- Chunpu Huang,
- Jie Wu
CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and TechnologiesNovember 2022, Pages 232–244https://doi.org/10.1145/3555050.3569128Emerging network-attached resource disaggregation architecture requires ultra-low latency rack-scale communication. However, current hardware offloading (e.g., RDMA) and user-space (e.g., mTCP) communication schemes still rely on heavily layered protocol ...
- tutorialJune 2022
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities
SIGMOD '22: Proceedings of the 2022 International Conference on Management of DataJune 2022, Pages 2465–2473https://doi.org/10.1145/3514221.3522566Enterprises are moving their business-critical workloads to public clouds at an accelerating pace. Multi-tenancy is a crucial tenet for cloud data service providers allowing them to provide services in cost-effective manner by sharing of resources among ...
- research-articleNovember 2021
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars
Statistical Analysis and Data Mining (STADM), Volume 14, Issue 6December 2021, Pages 596–605https://doi.org/10.1002/sam.11503AbstractThe Mars Curiosity rover carries an instrument, ChemCam, designed to measure the composition of surface rocks and soil using laser‐induced breakdown spectroscopy (LIBS). The measured spectra from this instrument must be analyzed to identify the ...
- short-paperNovember 2020
Solar Disaggregation: State of the Art and Open Challenges
NILM'20: Proceedings of the 5th International Workshop on Non-Intrusive Load MonitoringNovember 2020, Pages 6–10https://doi.org/10.1145/3427771.3429387Disaggregating solar power from net meter data has got traction in recent years as utility companies are seeking ways to identify behind-the-meter solar photovoltaics, improve their planning and operation practices, and apply variable pricing to ...
- research-articleAugust 2020
KNN Methods with Varied K, Distance and Training Data to Disaggregate NILM with Similar Load Characteristic
APCORISE '20: Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems EngineeringJune 2020, Pages 93–99https://doi.org/10.1145/3400934.3400953Non-Intrusive Load Monitoring (NILM) enables detection of appliances which are ON or OFF even the characteristics for each equipment installed in homes, industries, laboratories, etc. by disaggregating the total electrical consumption at the central ...
- research-articleMarch 2020
Hailstorm: Disaggregated Compute and Storage for Distributed LSM-based Databases
ASPLOS '20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating SystemsMarch 2020, Pages 301–316https://doi.org/10.1145/3373376.3378504Distributed LSM-based databases face throughput and latency issues due to load imbalance across instances and interference from background tasks such as flushing, compaction, and data migration. Hailstorm addresses these problems by deploying the ...
- research-articleFebruary 2019
Abstraction, ensemble, and disaggregation approaches to estimate evapotranspiration for use in hydrologic models
Evapotranspiration (ET) is the most dominant hydrologic process in water balance, yet it is difficult to measure in a watershed. This feature of ET has resulted in the development of many ET equations to estimate ET indirectly. While developing the ...
- research-articleJune 2018
Extracting the Full Potential of Voltage
e-Energy '18: Proceedings of the Ninth International Conference on Future Energy SystemsJune 2018, Pages 211–222https://doi.org/10.1145/3208903.3208944Smart meters allow us to track a variety of electrical parameters including voltage. Even though mains voltage is assumed to remain constant, it does vary, albeit within a small range, so the variation is mostly ignored. But we show how the small ...
- research-articleSeptember 2017
Better together: disaggregating mobile services for emergent users
MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and ServicesSeptember 2017, Article No.: 44, Pages 1–13https://doi.org/10.1145/3098279.3098534Mainstream mobile interactions are focused around individual devices, with any collaboration happening via `the cloud'. We carried out design workshops with emergent users, revealing opportunities for novel collocated collaborative interactions. In this ...
- research-articleNovember 2015
Aggregating and Disaggregating Flexibility Objects
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 27, Issue 11Nov. 2015, Pages 2893–2906https://doi.org/10.1109/TKDE.2015.2445755In many scientific and commercial domains, we encounter flexibility objects, i.e., objects with explicit flexibilities in a time and an amount dimension (e.g., energy or product amount). Applications of flexibility objects require novel and efficient ...
- ArticleSeptember 2015
Multidimensional prediction models when the resolution context changes
ECMLPKDD'15: Proceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part IISeptember 2015, Pages 509–524Multidimensional data is systematically analysed at multiple granularities by applying aggregate and disaggregate operators (e.g., by the use of OLAP tools). For instance, in a supermarket we may want to predict sales of tomatoes for next week, but we ...
- posterJuly 2015
Poster Abstract: Towards NILM for Industrial Settings
e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy SystemsJuly 2015, Pages 207–208https://doi.org/10.1145/2768510.2770943Industry consumes a large share of the worldwide electricity consumption. Disaggregated information about electricity consumption enables better decision-making and feedback tools to optimize electricity consumption. In industrial settings electricity ...
- research-articleJune 2015
Traffic Simulation Performance Optimization through Multi-Resolution Modeling of Road Segments
SIGSIM PADS '15: Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete SimulationJune 2015, Pages 281–288https://doi.org/10.1145/2769458.2769475In an agent-based traffic simulation the level of detail is crucial to the system's runtime performance as well as the fidelity of the results. Therefore, different model abstractions have been used throughout literature. Macroscopic, mesoscopic and ...
- keynoteMay 2015
Disaggregation: The New Way to Build Mega (and Micro) Data Centers
ANCS '15: Proceedings of the Eleventh ACM/IEEE Symposium on Architectures for networking and communications systemsMay 2015, Page 1The talk will discuss how open hardware, open software, and disaggregation enable to build efficient data centers in any size from small to super-big. The talk will show a real life Facebook architecture in network, hardware and software that will ...
- ArticleJuly 2014
Metadata for Energy Disaggregation
COMPSACW '14: Proceedings of the 2014 IEEE 38th International Computer Software and Applications Conference WorkshopsJuly 2014, Pages 578–583https://doi.org/10.1109/COMPSACW.2014.97Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from individual ...