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TRANSFERRED OUT - Cost efficient scheduling of big data application workflows on cloud through information correlation

Funding: 2014: $50,000
2015: $100,000
2016: $100,000
2017: $50,000

Funding or Partner Organisation: Joowing Australia Pty Ltd
Australian Research Council (ARC Linkage Projects)

Start year: 2015

Summary: Information correlation in and between big data application workflows scheduled on cloud can help to significantly reduce overall scheduling cost by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: (1) establishing information correlation based scheduling research and practical solutions for this important cloud and big data research area; (2) benefiting key big data application areas on cloud, such as hospitals, insurance companies and government information services; and (3) helping to maintain Australia at the forefront of cloud and big data research with innovative industry applications.

Publications:

Usman, M, Jan, MA, He, X & Chen, J 2019, 'A survey on big multimedia data processing and management in smart cities', ACM Computing Surveys, vol. 52, no. 3.
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Usman, M, Jan, MA, He, X & Chen, J 2019, 'P2DCA: A Privacy-Preserving-Based Data Collection and Analysis Framework for IoMT Applications', IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1222-1230.
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Puthal, D, Nepal, S, Ranjan, R & Chen, J 2017, 'A dynamic prime number based efficient security mechanism for big sensing data streams', Journal of Computer and System Sciences, vol. 83, no. 1, pp. 22-42.
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Liu, C, Beaugeard, N, Yang, C, Zhang, X & Chen, J 2016, 'HKE-BC: Hierarchical key exchange for secure scheduling and auditing of big data in cloud computing', Concurrency Computation, vol. 28, no. 3, pp. 646-660.
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Zhang, X, Dou, W, Pei, J, Nepal, S, Yang, C, Liu, C & Chen, J 2015, 'Proximity-aware local-recoding anonymization with MapReduce for scalable big data privacy preservation in cloud', IEEE Transactions on Computers, vol. 64, no. 8, pp. 2293-2307.
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Liu, C, Zhu, L & Chen, J 2015, 'Efficient Searchable Symmetric Encryption for Storing Multiple Source Data on Cloud', Trustcom/BigDataSE/ISPA, 2015 IEEE, IEEE International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, Helsinki, Finland, pp. 451-458.
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Keywords: Cloud Computing, Cloud Systems, Database Management

FOR Codes: Pattern Recognition and Data Mining, Database Management, Internet Hosting Services (incl. Application Hosting Services), Information Processing Services (incl. Data Entry and Capture)