Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Subru Krishnan"'
Autor:
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Publikováno v:
ACM SIGMOD Record. 51:30-37
The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d04b4a749e0659bbc8fbaa2577bf6e
https://doi.org/10.1145/3552490.3552496
https://doi.org/10.1145/3552490.3552496
Publikováno v:
Proceedings of the VLDB Endowment. 12:1850-1853
Interactive data analytics is often inundated with common computations across multiple queries. These redundancies result in poor query performance and higher overall cost for the interactive query sessions. Obviously, reusing these common computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b0848ead8c6108c5420a4b62da4611
https://doi.org/10.14778/3352063.3352082
https://doi.org/10.14778/3352063.3352082
Autor:
Kartheek Muthyala, Sudhir Darbha, Abhishek Modi, Minu Iyer, Subru Krishnan, Nick Jurgens, Ankita Agarwal, Conor Power, Konstantinos Karanasos, Deli Zhang, Manoj Kumar, Yiwen Zhu, Isha Tarte, Carlo Curino, Sarvesh Sakalanaga
Microsoft's internal big-data infrastructure is one of the largest in the world -- with over 300k machines running billions of tasks from over 0.6M daily jobs. Operating this infrastructure is a costly and complex endeavor, and efficiency is paramoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b187dfd1f2b3c6eb1fbf1468cdaebc6c
http://arxiv.org/abs/2106.11445
http://arxiv.org/abs/2106.11445
Autor:
Mohammad Hossein Namaki, Ashvin Agrawal, Fotis Psallidas, Yinghui Wu, Yiwen Zhu, Avrilia Floratou, Subru Krishnan, Markus Weimer
Publikováno v:
KDD
There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML applications. We make the following observation: All
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9901fbe44b27ede6f099bde24480458
Autor:
Hiren Patel, Abhishek Roy, Shi Qiao, Alekh Jindal, Subru Krishnan, Zhicheng Yin, Rathijit Sen
Publikováno v:
SoCC
Database administrators (DBAs) were traditionally responsible for optimizing the on-premise database workloads. However, with the rise of cloud data services, where cloud providers offer fully managed data processing capabilities, the role of a DBA i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34bc03863b06182abaa9bd9be14d0da7
https://doi.org/10.1145/3357223.3362726
https://doi.org/10.1145/3357223.3362726
Autor:
Carlo Curino, Gregory R. Ganger, Andrew Chung, Subru Krishnan, Panagiotis Garefalakis, Konstantinos Karanasos
Publikováno v:
SIGMOD Conference
Shared multi-tenant infrastructures have enabled companies to consolidate workloads and data, increasing data-sharing and cross-organizational re-use of job outputs. This same resource- and work-sharing has also increased the risk of missed deadlines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaeeadb1c1a1f017c26168ad1979c32f
https://doi.org/10.1145/3299869.3320239
https://doi.org/10.1145/3299869.3320239
Autor:
Kristin Lieber, Liqun Shao, Janhavi Mahajan, Siqi Liu, Abhiram Eswaran, Sudhir Darbha, Konstantinos Karanasos, Soundar Srinivasan, Subru Krishnan, Carlo Curino, Yiwen Zhu, Minsoo Thigpen
Publikováno v:
SoCC
Microsoft's internal big data analytics platform is comprised of hundreds of thousands of machines, serving over half a million jobs daily, from thousands of users. The majority of these jobs are recurring and are crucial for the company's operation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7db4a2fe38d7419b6e7dc369a66a0d10
Publikováno v:
SoCC
Query Optimization focuses on finding the best query execution plan, given fixed hardware resources. In BigData settings, both pay-as-you-go clouds and on-prem shared clusters, a complementary challenge emerges: Resource Optimization: find the best h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5e77c7c8b2c83374cb830cf417539d
https://doi.org/10.1145/2987550.2987566
https://doi.org/10.1145/2987550.2987566
Autor:
Carlo Curino, Raghu Ramakrishnan, Djellel Eddine Difallah, Subru Krishnan, Sriram Rao, Chris Douglas
Publikováno v:
SoCC
The continuous shift towards data-driven approaches to business, and a growing attention to improving return on investments (ROI) for cluster infrastructures is generating new challenges for big-data frameworks. Systems originally designed for big ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::615249cbd23352017a09bb93154997e4
https://doi.org/10.1145/2670979.2670981
https://doi.org/10.1145/2670979.2670981