Browsing by Subject "Cloud computing"

Now showing 1 - 5 of 5
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    Big Data Analytics for developing countries – Using the Cloud for Operational BI in Health
    (Wiley, 2013) Braa, Jørn; Purkayastha, Saptarshi
    The multi-layered view of digital divide suggests there is inequality of access to ICT, inequality of capability to exploit ICT and inequality of outcomes after exploiting ICT. This is evidently clear in the health systems of developing countries. In this paper, we look at cloud computing being able to provide computing as a utility service that might bridge this digital divide for Health Information Systems in developing countries. We highlight the role of Operational Business Intelligence (BI) tools to be able to make better decisions in health service provisioning. Through the case of DHIS2 software and its Analytics-as-a-Service (AaaS) model, we look at how tools can exploit Cloud computing capabilities to perform analytics on Big Data that is resulting from integration of health data from multiple sources. Beyond looking at purely warehousing techniques, we suggest understanding Big Data from Organizational Capabilities and expanding organizational capabilities by offloading computing as a utility to vendors through cloud computing.
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    Reducing handoff latency in proxy mobile IPv6
    (2014-05-21) Vojini, Sumith Dev; Dongsoo, Stephen Kim; King, Brian; Salama, Paul
    Mobile IP though allows mobility features to a node it suffers from signaling Latencies which are mainly incurred due to the fact that the MN itself is involved in the handover process. To overcome this problem proxy mobile IPv6(PMIPv6) was defined where the mobility signaling is taken care of by a proxy server while keeping track of the MN's movement. PMIPv6 has considerably reduced the handover latency but the demand for real time applications over the network has increased tremendously due to recent explosion of the cloud era. My thesis focuses on increasing the L3 handoff signaling efficiency by reducing the latency. This is achieved by our idea to do both the AAA authentication as well as the LMA registration in PMIPv6 at the same time. The simulation results show that our proposed approach perform better than the current PMIPv6 L3 handover signaling reducing the latency as well as packet loss.
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    Secure cloud computing infrastructure for K-12 education
    (2017) Justice, Connie; McFarland, Nichole; Computer Information and Graphics Technology, School of Engineering and Technology
    With cloud computing becoming more and more popular among businesses, there has become a higher demand for security in the cloud. K-12 school systems have a lack of IT resources and support to securely store and share data, thus making cloud services an attractive option. Additionally, there is increasing pressure on school systems to provide information for students and parents that require access to the information stored on school networks. Therefore, cloud services are a viable option for K-12 school systems to alleviate the administrative overhead and to provide access to necessary information for students and parents. This applied research project is an experimental design for addressing the issues that the K-12 school systems face. The secure cloud project consisted of four databases and three nodes. The databases were Keystone, Glance, Nova, and Neutron. First, the Keystone database handled the identity service. The second database was the image client, Glance. Images were launched through this database following a correct authentication token. The third database was Nova. Nova handled all the compute services for the controller and compute node. Fourth was the Neutron database service, which handled all the networking agents that traveled through all three nodes. There were three nodes; a compute node; a controller node; and a networking node to run the cloud. The controller node is the first to be used by verifying identity of the user. It then travels through the management network to the compute node that operates the virtualized network. Traffic between will be monitored by the network node to assign DHCP to each session. Future work to the secure cloud include: a security node to filter through the traffic to alert when an issue arises; and another server to allow for more space to be allocated for virtual machines. These improvements will enhance performance by segmenting information on a different secure network. © American Society for Engineering Education, 2017.
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    STAAR workflow: a cloud-based workflow for scalable and reproducible rare variant analysis
    (Oxford University Press, 2022) Gaynor, Sheila M.; Westerman, Kenneth E.; Ackovic, Lea L.; Li, Xihao; Li, Zilin; Manning, Alisa K.; Philippakis, Anthony; Lin, Xihong; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Summary: We developed the variant-Set Test for Association using Annotation infoRmation (STAAR) workflow description language (WDL) workflow to facilitate the analysis of rare variants in whole genome sequencing association studies. The open-access STAAR workflow written in the WDL allows a user to perform rare variant testing for both gene-centric and genetic region approaches, enabling genome-wide, candidate and conditional analyses. It incorporates functional annotations into the workflow as introduced in the STAAR method in order to boost the rare variant analysis power. This tool was specifically developed and optimized to be implemented on cloud-based platforms such as BioData Catalyst Powered by Terra. It provides easy-to-use functionality for rare variant analysis that can be incorporated into an exhaustive whole genome sequencing analysis pipeline. Availability and implementation: The workflow is freely available from https://dockstore.org/workflows/github.com/sheilagaynor/STAAR_workflow.
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    TOWARDS MANY-CORE PROCESSOR SIMULATION ON CLOUD COMPUTING PLATFORMS
    (2011-08-23) Schmidt, James Michael; Lee, Jaehwan (John); King, Brian; Tuceryan, Mihran
    Growth of interest and need for many-core systems have steadily increased over the recent years. Industry trends lead many-core systems to become increasingly larger and more complex. Because of these realities it is important to researchers, academia, and industry that the design of these many-core systems be straightforward and comprehensive. There is a need for a many-core simulator that can be simple to use and learn from for students, dynamic and capable of emulating large systems for researchers, and flexible with fast turnover for industry designers. At the same time, as many-core systems have been becoming popular and complex, and hence their design, the long standing field of Cloud Computing has become more prevalent and feasible to use. Such cloud computing platforms as Windows Azure allow for the easy access and use of resources that in the past were simply not available to ordinary users. Large tasks can be performed in SaaS Cloud Computing models and be accessible from a small, lightweight device using nothing more than a web browser. As a solution to the needs for designing future many-core systems, we present a Many-Core Simulator on Azure Cloud Computing Platform called M3C Simulator. This is targeted at teaching, research, and industry and as such needs to be easy to use, flexible, and powerful. The Could Computing service model meets all these needs. This thesis discusses overall design of the M3C Simulator and how it leverages Cloud Computing resources, the simple-to-use and understand Interface layout, and the software design including program flow and dynamic compilation.