Workflow Scheduling on the Hybrid Cloud to Maintain Data Privacy under Deadline Constraint
Hamid Abrishami, Amin Rezaeian, Mahmoud Naghibzadeh
Journal of Intelligent Computing, Vol. 6, No. 3, 2015.
DOI: 
Link: http://www.dline.info/jic/fulltext/v6n3/v6n3_3.pdf
Abstract:
The development of cloud computing technology has been continuously growing since its invention and has
attracted the attention of many researchers in the academia and the industry, particularly during the recent years. The
majority of organizations, whether large corporate businesses or typical small companies, are moving towards adapting this
cutting edge technology. The private cloud provides low cost and privacy for workflow applications execution. However, an
organizationâ€™s requirements to high performance resources and high capacity storage devices encourage them to utilize
public clouds. Public cloud leases information technology services in the form of small units and in larger scale compared to
private cloud, but this model is potentially exposed to the risk of data and computation breach and is less secure in
comparison to a pure private cloud environment. The combination of public and private clouds is known as hybrid cloud,
where workflow tasks can be executed on resources residing on either public or private clouds. The objective of this paper is
to present a scheduling algorithm for maintaining data privacy in workflow applications, such that the budget is minimized,
while the makespan limitation imposed by the user is satisfied. A scheduling algorithm called Workflow scheduling on Hybrid
Cloud to maintain Data Privacy (WHPD) is proposed and it is shown that it can perform as well as HCOC while preserving
data and computation privacy.