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Kannan Govindarajan
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2020 – today
- 2022
- [j13]Vibhatha Abeykoon
, Geoffrey C. Fox
Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks. Concurr. Comput. Pract. Exp. 34(8) (2022) - [j12]Ahmet Uyar
Twister2 Cross-platform resource scheduler for big data. Concurr. Comput. Pract. Exp. 34(9) (2022) - [j11]Pulasthi Wickramasinghe
High-performance iterative dataflow abstractions in Twister2: TSet. Concurr. Comput. Pract. Exp. 34(12) (2022) - 2020
- [j10]Supun Kamburugamuve
Twister2: Design of a big data toolkit. Concurr. Comput. Pract. Exp. 32(3) (2020) - [c21]Fabio Casati, Veeru Metha, Gopal Sarda, Sagar Davasam, Kannan Govindarajan:
Detecting Feature Eligibility Illusions in Enterprise AI Autopilots. OpML 2020
2010 – 2019
- 2019
- [c20]Vibhatha Abeykoon, Gregor von Laszewski
Streaming Machine Learning Algorithms with Big Data Systems. IEEE BigData 2019: 5661-5666 - [c19]Fabio Casati
Operating Enterprise AI as a Service. ICSOC 2019: 331-344 - 2018
- [c18]Supun Kamburugamuve, Pulasthi Wickramasinghe, Kannan Govindarajan, Ahmet Uyar, Gurhan Gunduz, Vibhatha Abeykoon, Geoffrey C. Fox:
Twister: Net - Communication Library for Big Data Processing in HPC and Cloud Environments. IEEE CLOUD 2018: 383-391 - 2016
- [c17]Thamarai Selvi Somasundaram, Kannan Govindarajan, Vivekanandan Suresh Kumar:
Swarm Intelligence (SI) based profiling and scheduling of big data applications. IEEE BigData 2016: 1875-1880 - [c16]Kannan Govindarajan, Vivekanandan Suresh Kumar, Kinshuk:
Dynamic Learning Path Prediction - A Learning Analytics Solution. T4E 2016: 188-193 - 2015
- [c15]Kannan Govindarajan, David Boulanger, Vivekanandan Suresh Kumar
Parallel Particle Swarm Optimization (PPSO) clustering for learning analytics. IEEE BigData 2015: 1461-1465 - [c14]Thamarai Selvi Somasundaram, Kannan Govindarajan:
Virtual machine placement optimization in SDN-aware federated clouds. EIT 2015: 379-385 - [c13]Kannan Govindarajan, David Boulanger, Jeremie Seanosky, Jason Bell, Colin Pinnell, Vivekanandan Suresh Kumar
Performance Analysis of Parallel Particle Swarm Optimization Based Clustering of Students. ICALT 2015: 446-450 - [c12]Kannan Govindarajan, Vivekanandan Suresh Kumar
Learning Analytics Solution for Reducing Learners' Course Failure Rate. T4E 2015: 83-90 - 2014
- [j9]Thamarai Selvi Somasundaram, Kannan Govindarajan:
CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud. Future Gener. Comput. Syst. 34: 47-65 (2014) - [j8]Thomas Vissers, Thamarai Selvi Somasundaram, Luc Pieters
DDoS defense system for web services in a cloud environment. Future Gener. Comput. Syst. 37: 37-45 (2014) - [j7]Thamarai Selvi Somasundaram, Kannan Govindarajan, Usha Kiruthika, Rajkumar Buyya:
Semantic-enabled CARE Resource Broker (SeCRB) for managing grid and cloud environment. J. Supercomput. 68(2): 509-556 (2014) - [c11]Kannan Govindarajan, Sharipah Setapa, Kong Chee Meng, Hong Ong:
Interoperability issue between IPv4 and IPv6 in OpenFlow enabled network: IPv4 and IPv6 transaction flow traffic. IC3INA 2014: 58-63 - 2013
- [c10]Kannan Govindarajan, Thamarai Selvi Somasundaram, Vivekanandan Suresh Kumar
Particle Swarm Optimization (PSO)-Based Clustering for Improving the Quality of Learning using Cloud Computing. ICALT 2013: 495-497 - [c9]Kannan Govindarajan, Thamarai Selvi Somasundaram, Vivekanandan Suresh Kumar
Continuous Clustering in Big Data Learning Analytics. T4E 2013: 61-64 - 2012
- [c8]Thamarai Selvi Somasundaram, Kannan Govindarajan, V. Venkateswaran, R. Radhika, V. Venkatesh:
CDM Server: A Data Management Framework for Data Intensive Application in Internal Private Cloud Infrastructure. 3PGCIC 2012: 211-217 - 2011
- [j6]Thamarai Selvi Somasundaram, Rangasamy Kumar
VCDE: a toolkit for virtual cluster creation for grid environment. Int. J. Parallel Emergent Distributed Syst. 26(6): 443-455 (2011) - 2010
- [j5]Thamarai Selvi Somasundaram, Balachandar R. Amarnath, Rangasamy Kumar, Ponnuram Balakrishnan, Kandan Rajendar, R. Rajiv, Kannan Govindarajan, Gnanapragasam Rajesh Britto, E. Mahendran, B. Madusudhanan:
CARE Resource Broker: A framework for scheduling and supporting virtual resource management. Future Gener. Comput. Syst. 26(3): 337-347 (2010) - [c7]Rajkumar Rajavel
Dynamic Load Balancer Algorithm for the Computational Grid Environment. ICT 2010: 223-227
2000 – 2009
- 2007
- [j4]Harumi A. Kuno, Kei Yuasa, Kannan Govindarajan, Kevin Smathers, Bernard Burg, Paul Carau, Kevin Wilkinson:
Governing the contract lifecycle: a framework for sequential configuration of loosely-coupled systems. Int. J. Comput. Sci. Eng. 3(2): 124-133 (2007) - 2006
- [c6]Kevin Wilkinson, Harumi A. Kuno, Kannan Govindarajan, Kei Yuasa, Kevin Smathers, Jyotirmaya Nanda, Umeshwar Dayal:
Enabling Outsourced Service Providers to Think Globally While Acting Locally. EDBT 2006: 1106-1109 - [c5]Kannan Govindarajan, E. Michael Maximilien:
Toward Systematic Services Innovation: Technical Workshop and Panel at IEEE CEC 2006. CEC/EEE 2006: 60 - 2005
- [c4]Harumi A. Kuno, Kei Yuasa, Kannan Govindarajan, Kevin Smathers, Bernard Burg, Paul Carau, Kevin Wilkinson:
Governing the Contract Lifecycle: A Framework for Sequential Configuration of Loosely-Coupled Systems. DNIS 2005: 264-279 - 2000
- [j3]Kannan Govindarajan, Bharat Jayaraman, Surya Mantha:
Preference Queries in Deductive Databases. New Gener. Comput. 19(1): 57-86 (2000)
1990 – 1999
- 1998
- [j2]Bharat Jayaraman, Kannan Govindarajan, Surya Mantha:
Preference Logic Grammars. Comput. Lang. 24(3): 179-196 (1998) - 1996
- [j1]Ravikanth Ganesan, Kannan Govindarajan, Min-You Wu:
Comparing SIMD and MIMD Programming Modes. J. Parallel Distributed Comput. 35(1): 91-96 (1996) - [c3]Kannan Govindarajan, Bharat Jayaraman, Surya Mantha:
Optimization and Relaxation in Constraint Logic Languages. POPL 1996: 91-103 - 1995
- [c2]Kannan Govindarajan, Bharat Jayaraman, Surya Mantha:
Preference Logic Programming. ICLP 1995: 731-745 - [c1]Kannan Govindarajan, Bharat Jayaraman, Surya Mantha:
Relaxation in Constraint Logic Languages. ILPS 1995: 637
Coauthor Index
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