Optimizing Service Level Agreements for Autonomic Cloud Bursting Schedulers. - Sriram Kailasam; Nathan Gnanasambandam; Dharanipragada Janakiram; Naveen Sharma (ICPP Workshops, 2010)

Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications. - Prateek Dhawalia; Sriram Kailasam; Dharanipragada Janakiram (IEEE CLOUD, 2013)

Optimizing Ordered Throughput Using Autonomic Cloud Bursting Schedulers. - Sriram Kailasam; Nathan Gnanasambandam; Dharanipragada Janakiram; Naveen Sharma (IEEE Trans. Software Eng., 2013)

Chisel++: handling partitioning skew in MapReduce framework using efficient range partitioning technique. - Prateek Dhawalia; Sriram Kailasam; Dharanipragada Janakiram (DICT@HPDC, 2014)

Cloudy knapsack problems: An optimization model for distributed cloud-assisted systems. - Harisankar Haridas; Sriram Kailasam; Janakiram Dharanipragada (P2P, 2014)

Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations. - Janakiram Dharanipragada; Geeta Iyer; Sriram Kailasam (Concurr. Comput. Pract. Exp., 2014)

Extending MapReduce across Clouds with BStream. - Sriram Kailasam; Prateek Dhawalia; S. J. Balaji; Geeta Iyer; Janakiram Dharanipragada (IEEE Trans. Cloud Comput., 2014)

A Dynamic Load Balancing Scheme for Distributed Formal Concept Analysis. - Shravan Patel; Umang Agarwal; Sriram Kailasam (ICPADS, 2018)

Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. - Naveksha Sood; Shruti Kaushik; Aditya Nigam; Sriram Kailasam; Dileep D.; Varun Dutt (MLDM (2), 2019)

Cloudy Knapsack Algorithm for Offloading Tasks from Large Scale Distributed Applications. - Harisankar Haridas; Sriram Kailasam; Janakiram Dharanipragada (IEEE Trans. Cloud Comput., 2019)

Towards Stable Significant Subgroup Discovery. - Jyoti 003; Aleksey Buzmakov 002; Sriram Kailasam (CLA, 2020)

A Hybrid Partitioning Strategy for Distributed FCA. - Muneeswaran Packiaraj; Jyoti 003; Sriram Kailasam (CLA, 2020)

Event-Driven Data Pipeline for Network Management Systems. - Ganesan Ponnuswami; Sriram Kailasam; Dileep Aroor Dinesh (ICCCNT, 2020)

Benchmarking Distributed Stream Processing Frameworks for Real Time Classical Machine Learning Applications. - Merlin Sundar; Sriram Kailasam; Timothy A. Gonsalves (ICCCNT, 2020)

Approximate Computation of Exact Association Rules. - Saurabh Bansal; Sriram Kailasam; Sergei Obiedkov (ICFCA, 2021)

Evaluating Data-Parallel Distributed Training Strategies. - Ganesan Ponnuswami; Sriram Kailasam; Dileep Aroor Dinesh (COMSNETS, 2022)

HyPar-FCA: a distributed framework based on hybrid partitioning for FCA. - Muneeswaran Packiaraj; Sriram Kailasam (J. Supercomput., 2022)

ParaDiS: a Parallel and Distributed framework for Significant pattern mining. - Jyoti 003; Sriram Kailasam; Aleksey Buzmakov 002 (CCGridW, 2023)

HyPar-FCA+: an improved workload-aware elastic framework for FCA. - Muneeswaran Packiaraj; Sriram Kailasam (J. Supercomput., 2023)

RD-FCA: A resilient distributed framework for formal concept analysis. - Abhigyan Khaund; Abhishek Mukesh Sharma; Abhishek Tiwari; Shashwat Garg; Sriram Kailasam (J. Parallel Distributed Comput., 2023)

Improving Parallel Exhaustive Subgroup Discovery with Early Search Space Pruning. - Jyoti 003; Ashutosh Litoriya; Sriram Kailasam (HIPCW, 2024)

A scalable, distributed framework for significant subgroup discovery. - Jyoti 003; Sriram Kailasam; Aleksey Buzmakov 002 (Knowl. Based Syst., 2024)

DiGTreeS: a distributed resilient framework for generalized tree search. - Md Arshad Jamal; Sriram Kailasam; Bhumanyu Goyal; Varun Singh (J. Supercomput., 2024)

Distributed Computation of Skyline Probability over Uncertain Preferences. - Easwar Kilari; Sriram Kailasam (ICDCN, 2025)