Sriram Kailasam

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Dynamic Load Balancing

Galois Lattices

Formal Concept Analysis

Top Venues

J. Supercomput.

IEEE Trans. Cloud Comput.

Publications

Jyoti, Sriram Kailasam, Aleksey Buzmakov
A scalable, distributed framework for significant subgroup discovery. Knowl. Based Syst. 284 (2024)
Md Arshad Jamal, Sriram Kailasam, Bhumanyu Goyal, Varun Singh
DiGTreeS: a distributed resilient framework for generalized tree search. J. Supercomput. 80 (10) (2024)
Jyoti, Sriram Kailasam, Aleksey Buzmakov
ParaDiS: a Parallel and Distributed framework for Significant pattern mining. CCGridW (2023)
Abhigyan Khaund, Abhishek Mukesh Sharma, Abhishek Tiwari, Shashwat Garg, Sriram Kailasam
RD-FCA: A resilient distributed framework for formal concept analysis. J. Parallel Distributed Comput. 179 (2023)
Muneeswaran Packiaraj, Sriram Kailasam
HyPar-FCA+: an improved workload-aware elastic framework for FCA. J. Supercomput. 79 (11) (2023)
Muneeswaran Packiaraj, Sriram Kailasam
HyPar-FCA: a distributed framework based on hybrid partitioning for FCA. J. Supercomput. 78 (10) (2022)
Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh
Evaluating Data-Parallel Distributed Training Strategies. COMSNETS (2022)
Saurabh Bansal, Sriram Kailasam, Sergei Obiedkov
Approximate Computation of Exact Association Rules. ICFCA (2021)
Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh
Event-Driven Data Pipeline for Network Management Systems. ICCCNT (2020)
Merlin Sundar, Sriram Kailasam, Timothy A. Gonsalves
Benchmarking Distributed Stream Processing Frameworks for Real Time Classical Machine Learning Applications. ICCCNT (2020)
Muneeswaran P, Jyoti, Sriram Kailasam
A Hybrid Partitioning Strategy for Distributed FCA. CLA (2020)
Jyoti, Aleksey Buzmakov, Sriram Kailasam
Towards Stable Significant Subgroup Discovery. CLA (2020)
Harisankar Haridas, Sriram Kailasam, Janakiram Dharanipragada
Cloudy Knapsack Algorithm for Offloading Tasks from Large Scale Distributed Applications. IEEE Trans. Cloud Comput. 7 (4) (2019)
Naveksha Sood, Shruti Kaushik, Aditya Nigam, Sriram Kailasam, Dileep D., Varun Dutt
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. MLDM (2) (2019)
Shravan Patel, Umang Agarwal, Sriram Kailasam
A Dynamic Load Balancing Scheme for Distributed Formal Concept Analysis. ICPADS (2018)
Harisankar Haridas, Sriram Kailasam, Janakiram Dharanipragada
Cloudy knapsack problems: An optimization model for distributed cloud-assisted systems. P2P (2014)
Sriram Kailasam, Prateek Dhawalia, S. J. Balaji, Geeta Iyer, Janakiram Dharanipragada
Extending MapReduce across Clouds with BStream. IEEE Trans. Cloud Comput. 2 (3) (2014)
Janakiram Dharanipragada, Geeta Iyer, Sriram Kailasam
Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations. Concurr. Comput. Pract. Exp. 26 (2) (2014)
Prateek Dhawalia, Sriram Kailasam, Dharanipragada Janakiram
Chisel++: handling partitioning skew in MapReduce framework using efficient range partitioning technique. DICT@HPDC (2014)
Sriram Kailasam, Nathan Gnanasambandam, Dharanipragada Janakiram, Naveen Sharma
Optimizing Ordered Throughput Using Autonomic Cloud Bursting Schedulers. IEEE Trans. Software Eng. 39 (11) (2013)
Prateek Dhawalia, Sriram Kailasam, Dharanipragada Janakiram
Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications. IEEE CLOUD (2013)
Sriram Kailasam, Nathan Gnanasambandam, Dharanipragada Janakiram, Naveen Sharma
Optimizing Service Level Agreements for Autonomic Cloud Bursting Schedulers. ICPP Workshops (2010)