Peregrine

Established: July 1, 2018

Publications

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- Applied Research Lessons from CloudViews Project
  
  Alekh Jindal
  
  Sigmod Record | December 2020, Vol 49(3): pp. 37-42
  
  DOI Publication Project
- AutoToken: predicting peak parallelism for big data analytics at Microsoft
  
  Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
  
  Very Large Data Bases | July 2020
  
  DOI PDF Publication Project
- Towards Plan-aware Resource Allocation in Serverless Query Processing
  
  Malay Bag, Alekh Jindal, Hiren Patel
  
  USENIX conference on Hot Topics in Cloud Ccomputing | July 2020
  
  PDF Publication Project
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Project
- Peregrine: Workload Optimization for Cloud Query Engines
  
  Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
  
  Symposium on Cloud Computing | November 2019
  
  DOI Publication
- SparkCruise: handsfree computation reuse in Spark
  
  Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
  
  Very Large Data Bases | July 2019
  
  DOI PDF Publication Project
- Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems
  
  Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
  
  MSR-TR-2019-44 | June 2019
  
  Published by Microsoft
  
  PDF Publication Project
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Project
- Computation Reuse in Analytics Job Service at Microsoft
  
  Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
  
  2018 International Conference on Management of Data | May 2018
  
  DOI PDF Project Project
- Query and Resource Optimization: Bridging the Gap
  
  Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
  
  International Conference on Data Engineering (ICDE) | April 2018
  
  DOI PDF Project
- Selecting subexpressions to materialize at datacenter scale
  
  Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
  
  Very Large Data Bases (VLDB) | February 2018
  
  DOI PDF Project Project

- Applied Research Lessons from CloudViews Project
  
  Alekh Jindal
  
  Sigmod Record | December 2020, Vol 49(3): pp. 37-42
  
  DOI Publication Project
- AutoToken: predicting peak parallelism for big data analytics at Microsoft
  
  Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
  
  Very Large Data Bases | July 2020
  
  DOI PDF Publication Project
- Towards Plan-aware Resource Allocation in Serverless Query Processing
  
  Malay Bag, Alekh Jindal, Hiren Patel
  
  USENIX conference on Hot Topics in Cloud Ccomputing | July 2020
  
  PDF Publication Project
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Project
- Peregrine: Workload Optimization for Cloud Query Engines
  
  Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
  
  Symposium on Cloud Computing | November 2019
  
  DOI Publication
- SparkCruise: handsfree computation reuse in Spark
  
  Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
  
  Very Large Data Bases | July 2019
  
  DOI PDF Publication Project
- Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems
  
  Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
  
  MSR-TR-2019-44 | June 2019
  
  Published by Microsoft
  
  PDF Publication Project
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Project
- Computation Reuse in Analytics Job Service at Microsoft
  
  Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
  
  2018 International Conference on Management of Data | May 2018
  
  DOI PDF Project Project
- Query and Resource Optimization: Bridging the Gap
  
  Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
  
  International Conference on Data Engineering (ICDE) | April 2018
  
  DOI PDF Project
- Selecting subexpressions to materialize at datacenter scale
  
  Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
  
  Very Large Data Bases (VLDB) | February 2018
  
  DOI PDF Project Project
- AutoToken: predicting peak parallelism for big data analytics at Microsoft
  
  Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
  
  Very Large Data Bases | July 2020
  
  DOI PDF Publication Project
- Peregrine: Workload Optimization for Cloud Query Engines
  
  Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
  
  Symposium on Cloud Computing | November 2019
  
  DOI Publication
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Project
- Query and Resource Optimization: Bridging the Gap
  
  Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
  
  International Conference on Data Engineering (ICDE) | April 2018
  
  DOI PDF Project
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Project
- Computation Reuse in Analytics Job Service at Microsoft
  
  Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
  
  2018 International Conference on Management of Data | May 2018
  
  DOI PDF Project Project
- Selecting subexpressions to materialize at datacenter scale
  
  Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
  
  Very Large Data Bases (VLDB) | February 2018
  
  DOI PDF Project Project

- Applied Research Lessons from CloudViews Project
  
  Alekh Jindal
  
  Sigmod Record | December 2020, Vol 49(3): pp. 37-42
  
  DOI Publication Project
- Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems
  
  Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
  
  MSR-TR-2019-44 | June 2019
  
  Published by Microsoft
  
  PDF Publication Project
- AutoToken: predicting peak parallelism for big data analytics at Microsoft
  
  Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
  
  Very Large Data Bases | July 2020
  
  DOI PDF Publication Project
- Towards Plan-aware Resource Allocation in Serverless Query Processing
  
  Malay Bag, Alekh Jindal, Hiren Patel
  
  USENIX conference on Hot Topics in Cloud Ccomputing | July 2020
  
  PDF Publication Project
- Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
  
  Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
  
  SIGMOD 2020: International Conference on Management of Data | February 2020
  
  Publication Project
- Peregrine: Workload Optimization for Cloud Query Engines
  
  Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
  
  Symposium on Cloud Computing | November 2019
  
  DOI Publication
- SparkCruise: handsfree computation reuse in Spark
  
  Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
  
  Very Large Data Bases | July 2019
  
  DOI PDF Publication Project
- Towards a learning optimizer for shared clouds
  
  Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
  
  Very Large Data Bases | October 2018
  
  DOI PDF Publication Project
- Computation Reuse in Analytics Job Service at Microsoft
  
  Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
  
  2018 International Conference on Management of Data | May 2018
  
  DOI PDF Project Project
- Query and Resource Optimization: Bridging the Gap
  
  Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
  
  International Conference on Data Engineering (ICDE) | April 2018
  
  DOI PDF Project
- Selecting subexpressions to materialize at datacenter scale
  
  Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
  
  Very Large Data Bases (VLDB) | February 2018
  
  DOI PDF Project Project