Lin, "A Survey on Hypervisor-Based Monitoring: Approaches, Applications, and Evolutions," ACM Comput. Bavier, et al., "Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors," presented at the Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007, Lisbon, Portugal, 2007. Reuter, "Toward El Dorado for Cloud Computing: Lightweight VMs, Containers, Meta-Containers and Oracles," presented at the Proceedings of the 2015 European Conference on Software Architecture Workshops, Dubrovnik, Cavtat, Croatia, 2015.
Nieh, #246, rster, et al., "Non-intrusive virtualization management using libvirt," presented at the Proceedings of the Conference on Design, Automation and Test in Europe, Dresden, Germany, 2010. Toderick, "Cloud in cloud: approaches and implementations," presented at the Proceedings of the 2010 ACM conference on Information technology education, Midland, Michigan, USA, 2010. Joy, "Performance comparison between linux containers and virtual machines," in Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, 2015, pp. Finally it shows how the TTU EXPOSOME Project strengthens security in the aforementioned four areas using MongoDB and Singularity, such that system security is approaching compliance with HIPAA.
Then, it focuses on four main HIPAA required areas in data security, such as authentication, authorization, encryption, and auditing, in order to make sure system security is assured to handle healthcare data. First, the paper investigates what are the advantages of LXCs over VMs with security and performance perspectives. The study in this paper investigates how to assure the TTU EXPOSOME Project data security by proposing a secure data analytic framework with the Singularity Linux container and the MongoDB NoSQL database, commonly available at TTU.
Data privacy in this project is in 4 areas: the database, the network infrastructure, web applications, and physical security, in line with the Health Insurance Portability and Accountability Act (HIPAA). This project mainly focuses on sensitive healthcare data which is operating in the Quanah Linux cluster in the High Performance Computing Center of Texas Tech University. A concern for security on high performance computing clusters is high for the transdisciplinary Texas Tech University (TTU) EXPOSOME Project. Hence, LXCs can make an efficient and secure big data analytic framework with the help of secure, efficient, easily scalable, and highly available databases. Nowadays Linux Containers which have operating system level virtualization, are very popular over virtual machines (VMs) which have hypervisor or kernel level virtualization in high performance computing (HPC) due to reasons, such as high portability, high performance, efficiency and high security.
0 kommentar(er)
