Community cloud architecture to improve use accessibility with security compliance in health big data applications

Abstract

The adoption of big data analytics in healthcare applications is overwhelming not only because of the huge volume of data being analyzed, but also because of the heterogeneity and sensitivity of the data. Eective and ecient analysis and visualization of secure patient health records are needed to e.g., nd new trends in disease management, determining risk factors for diseases, and personalized medicine. In this paper, we propose a novel community cloud architecture to help clinicians and researchers to have easy/increased accessibility to data sets from multiple sources, while also ensuring security compliance of data providers is not compromised. Our cloud-based system design conguration with cloudlet principles ensures application performance has high-speed processing, and data analytics is suciently scalable while adhering to security standards (e.g., HIPAA, NIST). Through a case study, we show how our community cloud architecture can be implemented along with best practices in an ophthalmology case study which includes health big data (i.e., Health Facts database, I2B2, Millennium) hosted in a campus cloud infrastructure featuring virtual desktop thin-clients and relevant Data Classication Levels in storage.

Descriptive Literature Review and Classification of Community Cloud Computing Research

“…A few architectures were suggested by researchers [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], as well as frameworks [33][34][35][36][37][38][39][40][41][42][43][44] and models for the adoption of community cloud computing.…”

“…Valluripally et al [26] propose a new community cloud infrastructure to make it possible for clinicians and scientists to increase accessibility from multiple sources to data sets, though it is also not compromised to ensure the data provider's security compliance.…”

“…ere are several interesting facets of this cloud computing community research. For evaluation and validation Additional security solutions for the cloud service provider are also considered to find out the cost variation, length, and other parameters in the real cloud environment [19] It can be expanded to reduce the dependence on the master as a trustworthy central agent regarding the misbehavior detection system and includes a tri rather than binary classifier based on the gravity of their threats [20] is architecture can be extended to broad-area networks using SINET L2VPN and VPLS services [21] Components are being developed to calculate and account for contributions to and usage of the cloud CPR [22] More on other model options to explore the model's local functions, which are currently missing from OpenStack [24] Best practices can also focus non-experts with more intuitive user interfaces to query using parallel programming APIs in high-performance computing quickly [26] It is needed to update community cloud systems to support several organizations e cloud protection structure of MeePo should be applied to multiple levels Using strong authentication to advance the protection of data creation, and transition [27] (1) Physical attack protection so that it is not appropriate to trust the cloud provider and the cloud administrators (2) Explore how redundancy can be transparently introduced into an overlay without migrating a VM to cover hardware component faults [28] To focus on a deeper investigation of the possibilities for performance boosting based on populations and other network metrics [29] To extend the experiments and real use as the end-users become active [30] Study for an in-depth understanding of mobile community specifications, the implications of cloud computing infrastructure and mobile communities [32] Framework e contribution to and utilization of cloud CPR is measured and accounted for in order to be able to spread the costs equally and facilitate reinvestment, and the ability to identify and mitigate risks [34] e BAN logic and scyther instrument are used to validate the proposed protocol [35] To examine the cloud providers' non-functional functionality for the discovery and optimization algorithms of the cloud service community [38] Another noteworthy concern is the replica selection process as in the next step [42] e scheduling method will be further enhanced to use a fast collaboration process and other associated workflow system application improvements [43]…”

The Descriptive Data Analysis for the Adoption of Community Cloud in Saudi HEI-Based Factor Adoption

“…Another work by Heinzlreiter et al [ 15 ], discuss various application situations for a private cloud deployment that can be used as a community cloud for learning and research by various institutions. The research by Valluripally et al [ 16 ] develops a novel community cloud platform to enable clinicians and researchers to have quick access to data sets from diverse sources while preserving data providers' security compliance is not affected.…”

Classification and Big Data Usages for Industrial Applications

“…This paper has presented a hierarchical taxonomy for classification of cloudlet solution, identification of cloudlet application, strengths and weaknesses analyzation, and requirements for deploying cloudlet. S. Valluripally et al [35] sought to introduce a community cloud architecture addressed implementation of health big data application using cloudlet. This architecture uses cloudlet to provide application performance in high-speed processing.…”