Privacy-Aware Scheduling SaaS in High Performance Computing Environments

IEEE Transactions on Parallel and Distributed Systems

Volumn 28, Issue 4, 2017, Pages 1176-1188

  Sharif, Shaghahyegh ^a,b   Watson, Paul ^c   Taheri, Javid ^d   Nepal, Surya ^b   Zomaya, Albert Y ^e  

^a UNIVERSITY OF SYDNEY   (Australia)

^b CSIRO   (Australia)

^c NEWCASTLE UNIVERSITY   (United Kingdom)

^d KARLSTAD UNIVERSITY   (Sweden)

^e UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Hybrid cloud; privacy preserving; SaaS; workflow scheduling

Indexed keywords

COST REDUCTION; COSTS; DATA PRIVACY; ECONOMIC AND SOCIAL EFFECTS; SCHEDULING; SCHEDULING ALGORITHMS;

DISTRIBUTED APPLICATIONS; HEALTH CARE APPLICATION; HIGH PERFORMANCE COMPUTING; HYBRID CLOUDS; PRIVACY PRESERVING; PRIVACY REQUIREMENTS; SAAS; WORKFLOW SCHEDULING;

SOFTWARE AS A SERVICE (SAAS);

EID: 85015709934     PISSN: 10459219     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPDS.2016.2603153     Document Type: Article

References (44)

1. D. Chou, "SOA and Cloud Computing," ICSOC.
2. S. Abrishami, M. Naghibzadeh, and D. H. J. Epema, "Deadlineconstrained workflow scheduling algorithms for infrastructure as a service clouds," Future Generation Comput. Syst., vol. 29, no. 1, pp. 158-169, Jan. 2013.
3. L. F. Bittencourt and E. R. M. Madeira, "HCOC: A cost optimization algorithm for workflow scheduling in hybrid clouds," J. Internet Services Appl., vol. 2, no. 3, pp. 207-227, Aug. 2011.
4. R. Sakellariou, H. Zhao, E. Tsiakkouri, and M. D. Dikaiakos, "Scheduling workflows with budget constraints," in Integrated Research in GRID Computing. Berlin, Germany: Springer, 2007, pp. 189-202.
5. H. Liu, D. Xu, and H. Miao, "Ant colony optimization based service flow scheduling with various QoS requirements in cloud computing," in Proc. 1st ACIS Int. Symp. IEEE Softw. Netw. Eng., 2011, pp. 53-58.
6. M. Malawski, G. Juve, E. Deelman, and J. Nabrzyski, "Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds," in Proc. Int. Conf. High Performance Comput., Nov. 2012, Art. no. 22.
7. A. Talukder, M. Kirley, and R. Buyya, "Multiobjective differential evolution for scheduling workflow applications on global grids," Concurrency Comput.: Practice Exp., vol. 21, no. 13, pp. 1742-1756, 2009.
8. R. Buyya, et al., "Cost-based scheduling of scientific workflow application on utility grids," in Proc. 1st Int. Conf. e-Sci. Grid Comput., 2005, pp. 140-147.
9. L. Chunlin and L. Layuan, "Qos based resource scheduling by computational economy in computational grid," Inf. Process. Lett., vol. 98, no. 3, pp. 119-126, 2006.
10. E.-K. Byun, Y.-S. Kee, J.-S. Kim, and S. Maeng, "Cost optimized provisioning of elastic resources for application workflows," Future Generation Comput. Syst., vol. 27, no. 8, pp. 1011-1026, Oct. 2011.
11. P. Watson, "A multi-level security model for partitioning workflows over federated clouds," J. Cloud Comput., vol. 1, no. 1, pp. 1-15, 2012.
12. C. Zhang, E.-C. Chang, and R. H. Yap, "Tagged-Map Reduce: A general framework for secure computing with mixed-sensitivity data on hybrid clouds," in Proc. 14th IEEE/ACM Int. Symp. Cluster Cloud Grid Comput., 2014, pp. 31-40.
13. L. Zeng, B. Veeravalli, and X. Li, "SABA: A security-aware and budget-aware workflow scheduling strategy in clouds," J. Parallel Distrib. Comput., vol. 75, pp. 141-151, Sep. 2014.
14. P. Mell and T. Grance, "The NIST definition of cloud computing recommendations of the national institute of standards and technology," Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Tech. Rep. SP 800-145, 2011.
15. D.-K. Kang, S.-H. Kim, C.-H. Youn, and M. Chen, "Cost adaptive workflow scheduling in cloud computing," in Proc. 8th Int. Conf. Ubiquitous Inf. Manage. Commun., 2014, Art. no. 65.
16. S. Sharif, J. Taheri, A. Y. Zomaya, and S. Nepal, "MPHC: Preserving privacy for workflow execution in hybrid clouds," in Proc. Int. Conf. Parallel Distrib. Comput. Appl. Technol., Dec. 2013, pp. 272-280.
17. S. Smanchat and K. Viriyapant, "Taxonomies of workflow scheduling problem and techniques in the cloud," Future Generation Comput. Syst., vol. 52, pp. 1-12, 2015.
18. J. Li, M. Qiu, Z. Ming, G. Quan, X. Qin, and Z. Gu, "Online optimization for scheduling preemptable tasks on IaaS cloud systems," J. Parallel Distrib. Comput., vol. 72, no. 5, pp. 666-677, 2012.
19. M. Bentounsi, S. Benbernou, C. S. Deme, and M. J. Atallah, "Anonyfrag," in Proc. 1st Int. Workshop Cloud Intell., Aug. 2012, pp. 1-8.
20. S. B. Davidson, et al., "Enabling privacy in provenance-aware workflow systems," in Proc. Conf. Innovative Data Syst. Res., 2011, pp. 215-218.
21. X. Zhang, C. Liu, S. Nepal, and J. Chen, "An efficient quasiidentifier index based approach for privacy preservation over incremental data sets on cloud," J. Comput. Syst. Sci., vol. 79, no. 5, pp. 542-555, 2013.
22. M. Ali, S. U. Khan, and A. V. Vasilakos, "Security in cloud computing: Opportunities and challenges," Inf. Sci., vol. 305, pp. 357-383, 2015.
23. Y. Li, W. Dai, Z. Ming, and M. Qiu, "Privacy protection for preventing data over-collection in smart city," IEEE Trans. Comput., vol. 65, no. 1, pp. 1-1, Jan. 2015.
24. Z. Yan, X. Li, M. Wang, and A. Vasilakos, "Flexible data access control based on trust and reputation in cloud computing," IEEE.
25. J. Zhou, Z. Cao, X. Dong, N. Xiong, and A. V. Vasilakos, "4S: A secure and privacy-preserving key management scheme for cloud-assisted wireless body area network in m-healthcare social networks," Inf. Sci., vol. 314, pp. 255-276, 2015.
26. K. Mivule, "Utilizing noise addition for data privacy, an overview," arXiv preprint arXiv:1309.3958, 2013.
27. C. Dwork and R. Pottenger, "Toward practicing privacy," J. Amer. Medical Informat. Assoc., vol. 20, no. 1, pp. 102-108, 2013.
28. C. Dwork, et al., "Differential privacy: A survey of results," in Theory and Applications of Models of Computation. Berlin, Germany: Springer, 2008, pp. 1-19.
29. M. Hardt, K. Ligett, and F. Mcsherry, "A simple and practical algorithm for differentially private data release," in Advances in Neural Information Processing Systems 25, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Red Hook, NY, USA: Curran, 2012, pp. 2339-2347.
30. N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, "Privacy-preserving multi-keyword ranked search over encrypted cloud data," in Proc. IEEE INFOCOM, Apr. 2011, pp. 829-837.
31. I. Roy, S. T. Setty, A. Kilzer, V. Shmatikov, and E. Witchel, "Airavat: Security and privacy for MapReduce." in Proc. 7th USENIX Conf. Netw. Syst. Des. Implementation, 2010, vol. 10, pp. 297-312.
32. J. Pei, J. Xu, Z. Wang, W. Wang, and K. Wang, "Maintaining K-anonymity against incremental updates," in Proc. 19th Int. Conf. Scientific Statistical Database Manage., 2007, Art. no. 5.
33. H. Topcuoglu and S. Hariri, "Performance-effective and lowcomplexity task scheduling for heterogeneous computing," IEEE Trans. Parallel Distrib. Syst., vol. 13, no. 3, pp. 260-274, Mar. 2002.
34. M. Malawski, G. Juve, E. Deelman, and J. Nabrzyski, "Cost-and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds," in Proc. Int. Conf. High Performance Comput. Netw. Storage Anal., 2012, Art. no. 22.
35. K. Deng, J. Song, K. Ren, D. Yuan, and J. Chen, "Graph-cut based coscheduling strategy towards efficient execution of scientific workflows in collaborative cloud environments," in Proc. IEEE/ACM 12th Int. Conf. Grid Comput., Sep. 2011, pp. 34-41.
36. M. Tanaka and O. Tatebe, "Workflow scheduling to minimize data movement using multi-constraint graph partitioning," in Proc. 12th IEEE/ACM Int. Symp. Cluster Cloud Grid Comput., May 2012, pp. 65-72.
37. Amazon, "Amazon elastic compute cloud (Amazon EC2)," [Online]. Available: http://aws.amazon.com/ec2/
38. Microsft, "Microsoft Azure," [Online]. Available: http://www.microsoft.com/azure/
39. Z. Wen, J. Cala, and P. Watson, "A scalable method for partitioning workflows with security requirements over federated clouds," in Proc. 6th Int. Conf. Cloud Comput. Technol. Sci., 2014, pp. 122-129.
40. E. Dahlhaus, D. S. Johnson, C. H. Papadimitriou, P. D. Seymour, and M. Yannakakis, "The complexity of multiterminal cuts," SIAM J. Comput., vol. 23, pp. 864-894, Jul. 2006.
41. M. Stoer and F. Wagner, "A simple min-cut algorithm," J. ACM, vol. 44, no. 4, pp. 585-591, Jul. 1997.
42. P. Watson and M. Little, "Multi-level security for deploying distributed applications on clouds, devices and things," in Proc. 6th Int. Conf. Cloud Comput. Technol. Sci., 2014, pp. 380-385.
43. S. Bharathi, A. Chervenak, E. Deelman, G. Mehta, M.-H. Su, and K. Vahi, "Characterization of scientific workflows," in Proc. 3rd Workshop Workflows Support Large-Scale Sci., Nov. 2008, pp. 1-10.
44. vmWare, "vmWare Clusters with vSphere," [Online]. Available: http://www.vmware.com/ap