Scheduling in hybrid cloud to maintain data privacy

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 employing this cutting edge technology. Using private cloud provides low cost and privacy for workflow applications execution. However, an organization's requirements to high performance resources and high capacity storage devices lead 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 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.

An IoT-Oriented data placement method with privacy preservation in cloud environment

“…Wang et al [43] described several methods about protecting data security in hybrid cloud and discussed an authentication intercloud model. Abrishami et al [44] presented a scheduling algorithm to protect data privacy while minimizing the cost and satisfy the users limitation. Stout et al [45] surveyed the shortcomings and challenges of securing IoT devices and their interactions with cloud and enterprise applications.…”

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

“…Mixed cloud on the task scheduling, virtual machine scheduling, privacy, and other related work have made some progress. Some were discussed about separating private data from public data and placing them in trusted private cloud and untrusted public cloud, respectively [27][28][29][30]. Zhou et al [27] presented a set of techniques for privacy-aware data retrieval by splitting data and storing on hybrid cloud.…”

“…Wang and Jia [29] described several methods about protecting data security in hybrid cloud and discussed an authentication intercloud model. Abrishami et al [30] presented a scheduling algorithm to protect data privacy while minimizing the cost and satisfying the users' limitation. Tasks, datasets, and virtual machines scheduling in hybrid cloud to maximize the benefits and minimize the cost were studied in [31][32][33][34].…”

Cost-aware scheduling for ensuring software performance and reliability under heterogeneous workloads of hybrid cloud

“…Ensuring software performance and software reliability have increased the interest in hybrid cloud architecture. However, there are still some challenges in hybrid clouds (Zuo et al 2014;Abrishami et al 2015). (1) In a hybrid cloud, resource scheduling is studied to optimize system performance, i.e.…”