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Dive into the research topics where Pradeep Kumar Gunda is active.

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Featured researches published by Pradeep Kumar Gunda.


symposium on operating systems principles | 2009

Distributed aggregation for data-parallel computing: interfaces and implementations

Yuan Yu; Pradeep Kumar Gunda; Michael Isard

Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and it is often the most efficient available mechanism for computations such as matrix multiplication and graph traversal. Such algorithms typically require non-standard aggregations that are more sophisticated than traditional built-in database functions such as Sum and Max. As a result, the ease of programming user-defined aggregations, and the efficiency of their implementation, is of great current interest. This paper evaluates the interfaces and implementations for user-defined aggregation in several state of the art distributed computing systems: Hadoop, databases such as Oracle Parallel Server, and DryadLINQ. We show that: the degree of language integration between user-defined functions and the high-level query language has an impact on code legibility and simplicity; the choice of programming interface has a material effect on the performance of computations; some execution plans perform better than others on average; and that in order to get good performance on a variety of workloads a system must be able to select between execution plans depending on the computation. The interface and execution plan described in the MapReduce paper, and implemented by Hadoop, are found to be among the worst-performing choices.


operating systems design and implementation | 2008

DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level language

Yuan Yu; Michael Isard; Dennis Fetterly; Mihai Budiu; Úlfar Erlingsson; Pradeep Kumar Gunda; Jon Currey


operating systems design and implementation | 2010

Nectar: automatic management of data and computation in datacenters

Pradeep Kumar Gunda; Lenin Ravindranath; Chandramohan A. Thekkath; Yuan Yu; Li Zhuang


Archive | 2009

General distributed reduction for data parallel computing

Yuan Yu; Pradeep Kumar Gunda; Michael Isard


Archive | 2012

Assignment of resources in virtual machine pools

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Hemal Khatri


Archive | 2012

Paas hierarchial scheduling and auto-scaling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Ii Marvin Mcnett; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2013

Decoupling paas resources, jobs, and scheduling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2012

Platform as a service job scheduling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2013

PRICING OF RESOURCES IN VIRTUAL MACHINE POOLS

Bradley Gene Calder; Ju Wang; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2009

Some sample programs written in DryadLINQ

Yuan Yu; Michael Isard; Dennis Fetterly; Mihai Budiu; Úlfar Erlingsson; Pradeep Kumar Gunda; Jon Currey; Frank McSherry; Kannan Achan; Christophe Poulain

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