Sriram Kailasam

25 papers B 1C 1Misc 2Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
A Distributed Framework for Online Log Parsing with Large Language Model.
HiPCW
Shruthi Kandukuri, Prince Kumar, Shubham Pahilwani, Umang Chourey, Sriram Kailasam
2025 Misc conf
Distributed Computation of Skyline Probability over Uncertain Preferences.
ICDCN
Easwar Kilari, Sriram Kailasam
2024 J jnl
A scalable, distributed framework for significant subgroup discovery.
Knowl. Based Syst.
Jyoti, Sriram Kailasam, Aleksey Buzmakov
2024 J jnl
DiGTreeS: a distributed resilient framework for generalized tree search.
J. Supercomput.
Md Arshad Jamal, Sriram Kailasam, Bhumanyu Goyal, Varun Singh
2024 — conf
Improving Parallel Exhaustive Subgroup Discovery with Early Search Space Pruning.
HIPCW
Jyoti, Ashutosh Litoriya, Sriram Kailasam
2023 J jnl
HyPar-FCA+: an improved workload-aware elastic framework for FCA.
J. Supercomput.
Muneeswaran Packiaraj, Sriram Kailasam
2023 — conf
ParaDiS: a Parallel and Distributed framework for Significant pattern mining.
CCGridW
Jyoti, Sriram Kailasam, Aleksey Buzmakov
2023 J jnl
RD-FCA: A resilient distributed framework for formal concept analysis.
J. Parallel Distributed Comput.
Abhigyan Khaund, Abhishek Mukesh Sharma, Abhishek Tiwari, Shashwat Garg, Sriram Kailasam
2022 Misc conf
Evaluating Data-Parallel Distributed Training Strategies.
COMSNETS
Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh
2022 J jnl
HyPar-FCA: a distributed framework based on hybrid partitioning for FCA.
J. Supercomput.
Muneeswaran Packiaraj, Sriram Kailasam
2021 C conf
Approximate Computation of Exact Association Rules.
ICFCA
Saurabh Bansal, Sriram Kailasam, Sergei Obiedkov
2020 — conf
A Hybrid Partitioning Strategy for Distributed FCA.
CLA
Muneeswaran Packiaraj, Jyoti, Sriram Kailasam
2020 — conf
Benchmarking Distributed Stream Processing Frameworks for Real Time Classical Machine Learning Applications.
ICCCNT
Merlin Sundar, Sriram Kailasam, Timothy A. Gonsalves
2020 — conf
Event-Driven Data Pipeline for Network Management Systems.
ICCCNT
Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh
2020 — conf
Towards Stable Significant Subgroup Discovery.
CLA
Jyoti, Aleksey Buzmakov, Sriram Kailasam
2019 — conf
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage.
MLDM (2)
Naveksha Sood, Shruti Kaushik, Aditya Nigam, Sriram Kailasam, Dileep D., Varun Dutt
2019 J jnl
Cloudy Knapsack Algorithm for Offloading Tasks from Large Scale Distributed Applications.
IEEE Trans. Cloud Comput.
Harisankar Haridas, Sriram Kailasam, Janakiram Dharanipragada
2018 B conf
A Dynamic Load Balancing Scheme for Distributed Formal Concept Analysis.
ICPADS
Shravan Patel, Umang Agarwal, Sriram Kailasam
2014 — conf
Chisel++: handling partitioning skew in MapReduce framework using efficient range partitioning technique.
DICT@HPDC
Prateek Dhawalia, Sriram Kailasam, Dharanipragada Janakiram
2014 — conf
Cloudy knapsack problems: An optimization model for distributed cloud-assisted systems.
P2P
Harisankar Haridas, Sriram Kailasam, Janakiram Dharanipragada
2014 J jnl
Extending MapReduce across Clouds with BStream.
IEEE Trans. Cloud Comput.
Sriram Kailasam, Prateek Dhawalia, S. J. Balaji, Geeta Iyer, Janakiram Dharanipragada
2014 J jnl
Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations.
Concurr. Comput. Pract. Exp.
Janakiram Dharanipragada, Geeta Iyer, Sriram Kailasam
2013 — conf
Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications.
IEEE CLOUD
Prateek Dhawalia, Sriram Kailasam, Dharanipragada Janakiram
2013 J jnl
Optimizing Ordered Throughput Using Autonomic Cloud Bursting Schedulers.
IEEE Trans. Software Eng.
Sriram Kailasam, Nathan Gnanasambandam, Dharanipragada Janakiram, Naveen Sharma
2010 — conf
Optimizing Service Level Agreements for Autonomic Cloud Bursting Schedulers.
ICPP Workshops
Sriram Kailasam, Nathan Gnanasambandam, Dharanipragada Janakiram, Naveen Sharma