SelectedWorks - Cory James Kleinheksel

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Selected Works of Cory James Kleinheksel

Graduate Research Assistant, Department of Computer and Electrical Engineering, Iowa State University

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About Cory James Kleinheksel

Present	Graduate Research Assistant, Department of Computer and Electrical Engineering, Iowa State University, Iowa State University
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Present	Vice President, Graduate and Professional Student Senate, Iowa State University
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Electrical and Computer Engineering

2215 Coover
Ames, IA 50011-3060
515-294-2664

Unidirectional Quorum-based Cycle Planning for Efficient Resource Utilization and Fault-Tolerance

2016 25th International Conference on Computer Communication and Networks (ICCCN) (2016)

Cory James Kleinheksel and Arun K. Somani

In this paper, we propose a greedy cycle direction heuristic to improve the generalized R redundancy quorum cycle technique. When ...

Scaling Distributed All-Pairs Algorithms

Information Science and Applications (ICISA) 2016 (2016)

Cory J. Kleinheksel and Arun K. Somani

In this paper we propose and prove that cyclic quorum sets can efficiently manage all-pairs computations and data replication. The ...

Enhancing fault tolerance capabilities in quorum-based cycle routing

Reliable Networks Design and Modeling (RNDM), 2015 7th International Workshop on (2015)

Cory James Kleinheksel and Arun K. Somani

In this paper we propose a generalized R redundancy cycle technique that provides optical networks almost fault-tolerant communications. More importantly, ...

Resource efficient redundancy using quorum-based cycle routing in optical networks

2015 17th International Conference on Transparent Optical Networks (ICTON) (2015)

Cory J. Kleinheksel and Arun K. Somani

In this paper we propose a cycle redundancy technique that provides optical networks almost fault-tolerant point-to-point and multipoint-to-multipoint communications. The ...

Efficient computation and communication management for all-pairs interactions

Graduate Theses and Dissertations (2016)

Cory James Kleinheksel

Big data continues to grow in size for all sciences. New methods like those proposed are needed to further reduce ...