Sriram Kailasam

Orcid: 0000-0002-2218-8660

According to our database1, Sriram Kailasam authored at least 20 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
RD-FCA: A resilient distributed framework for formal concept analysis.
J. Parallel Distributed Comput., September, 2023

HyPar-FCA+: an improved workload-aware elastic framework for FCA.
J. Supercomput., 2023

ParaDiS: a Parallel and Distributed framework for Significant pattern mining.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
HyPar-FCA: a distributed framework based on hybrid partitioning for FCA.
J. Supercomput., 2022

Evaluating Data-Parallel Distributed Training Strategies.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Approximate Computation of Exact Association Rules.
Proceedings of the Formal Concept Analysis - 16th International Conference, 2021

2020
Benchmarking Distributed Stream Processing Frameworks for Real Time Classical Machine Learning Applications.
Proceedings of the 11th International Conference on Computing, 2020

Event-Driven Data Pipeline for Network Management Systems.
Proceedings of the 11th International Conference on Computing, 2020

A Hybrid Partitioning Strategy for Distributed FCA.
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, 2020

Towards Stable Significant Subgroup Discovery.
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, 2020

2019
Cloudy Knapsack Algorithm for Offloading Tasks from Large Scale Distributed Applications.
IEEE Trans. Cloud Comput., 2019

Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018
A Dynamic Load Balancing Scheme for Distributed Formal Concept Analysis.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2014
Extending MapReduce across Clouds with BStream.
IEEE Trans. Cloud Comput., 2014

Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations.
Concurr. Comput. Pract. Exp., 2014

Cloudy knapsack problems: An optimization model for distributed cloud-assisted systems.
Proceedings of the 14th IEEE International Conference on Peer-to-Peer Computing, 2014

Chisel++: handling partitioning skew in MapReduce framework using efficient range partitioning technique.
Proceedings of the DIDC'14, 2014

2013
Optimizing Ordered Throughput Using Autonomic Cloud Bursting Schedulers.
IEEE Trans. Software Eng., 2013

Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2010
Optimizing Service Level Agreements for Autonomic Cloud Bursting Schedulers.
Proceedings of the 39th International Conference on Parallel Processing, 2010


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