Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sailesh Krishnamurthy"'
Autor:
Alon Halevy, Surajit Chaudhuri, Juliana Freire, Dan Suciu, Volker Markl, Michael J. Franklin, Joseph M. Hellerstein, Sergey Melnik, Fatma Ozcan, Chandrasekaran Mohan, David G. Andersen, AnHai Doan, Raghu Ramakrishnan, Stratos Idreos, Tim Kraska, Tova Milo, Anastasia Ailamaki, Magdalena Balazinska, Thomas Neumann, Michael Stonebraker, Beng Chin Ooi, Raluca Ada Popa, Andrew Pavlo, Donald Kossmann, Alvin Cheung, Jignesh M. Patel, Christopher Ré, Peter Bailis, Luna Dong, Peter Boncz, Daniel J. Abadi, Philip A. Bernstein, Sailesh Krishnamurthy
Publikováno v:
Communications of the ACM. 65:72-79
Approximately every five years, a group of database researchers meet to do a self-assessment of our community, including reflections on our impact on the industry as well as challenges facing our research community. This report summarizes the discuss
Autor:
James Mcclellan Corey, Debanjan Saha, Sandor Maurice, Sailesh Krishnamurthy, Anurag Windlass Gupta, Kamal Gupta, Alexandre Olegovich Verbitski, Tengiz Kharatishvilli, Murali Brahmadesam, Xiaofeng Bao, Raman Mittal
Publikováno v:
SIGMOD Conference
Amazon Aurora is a high-throughput cloud-native relational database offered as part of Amazon Web Services (AWS). One of the more novel differences between Aurora and other relational databases is how it pushes redo processing to a multi-tenant scale
Autor:
Alexandre Olegovich Verbitski, Sandor Maurice, Kamal Gupta, Murali Brahmadesam, Raman Mittal, Xiaofeng Bao, Debanjan Saha, Anurag Windlass Gupta, Tengiz Kharatishvili, Sailesh Krishnamurthy
Publikováno v:
SIGMOD Conference
Amazon Aurora is a relational database service for OLTP workloads offered as part of Amazon Web Services (AWS). In this paper, we describe the architecture of Aurora and the design considerations leading to that architecture. We believe the central c
Publikováno v:
IM
Analytics of network telemetry data helps address many important operational problems. Traditional Big Data approaches run into limitations even as they push scale boundaries for processing data further. One reason for this is the fact that in many c
Autor:
Alan Li, Michael J. Franklin, Jeffrey A. Davis, Sailesh Krishnamurthy, Pasha Golovko, Neil Thombre, Daniel Robert Farina
Publikováno v:
SIGMOD Conference
Continuous analytics systems that enable query processing over steams of data have emerged as key solutions for dealing with massive data volumes and demands for low latency. These systems have been heavily influenced by an assumption that data strea
Publikováno v:
SIGMOD Conference
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many similar but different queries over common data. Since executing each query
Autor:
Sailesh Krishnamurthy, Michael J. Franklin, Shariq Rizvi, Anil Edakkunni, Nathan Burkhart, Linus Liang, Shawn R. Jeffery
Publikováno v:
SIGMOD Conference
The emergence of large-scale receptor-based systems has enabled applications to execute complex business logic over data generated from monitoring the physical world. An important functionality required by these applications is the detection and resp
Publikováno v:
VLDB
Sharing has emerged as a key idea of static and adaptive stream query processing systems. Inherent in these systems is a tension between sharing common work and avoiding unnecessary work. Increased sharing has generally led to more unnecessary work.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6166803d2a7af25d25a7d5bc503336fc
https://doi.org/10.1016/b978-012088469-8.50085-1
https://doi.org/10.1016/b978-012088469-8.50085-1
Autor:
Eugene Wu, Shawn R. Jeffery, Sailesh Krishnamurthy, Frederick Reiss, Michael J. Franklin, Owen Cooper, Wei Hong, Shariq Rizvi, Anil Edakkunni
Advances in data acquisition and sensor technologies are leading towards the development of “High Fan-in” architectures: widely distributed systems whose edges consist of numerous receptors such as sensor networks and RFID readers and whose inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da30d07b351a5cb367a397893f6292df
https://doi.org/10.1016/b978-012088469-8.50146-7
https://doi.org/10.1016/b978-012088469-8.50146-7
Autor:
Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran, Fred Reiss, Samuel Madden, Amol Deshpande, Owen Cooper, Sailesh Krishnamurthy, Mehul A. Shah, Wei Hong
Publikováno v:
SIGMOD Conference