• Find People
  • Campus Map
  • PiratePort
  • A-Z
    • About
    • Submit
    • Browse
    • Login
    View Item 
    •   ScholarShip Home
    • ECU Main Campus
    • College of Engineering and Technology
    • Computer Science
    • View Item
    •   ScholarShip Home
    • ECU Main Campus
    • College of Engineering and Technology
    • Computer Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of The ScholarShipCommunities & CollectionsDateAuthorsTitlesSubjectsTypeDate SubmittedThis CollectionDateAuthorsTitlesSubjectsTypeDate Submitted

    My Account

    Login

    Statistics

    View Google Analytics Statistics

    Formal Model To Reduce the Risk Of Cloud Outages

    Thumbnail
    View/ Open
    Hotwani_ecu_0600O_11373.pdf (2.563Mb)
    IRB_Approval_Document.docx (250.4Kb)
    Final_ProposedModel_Complete.xlsx (112.7Kb)

    Show full item record
    Author
    Hotwani, Komal
    Abstract
    Cloud outages have become very common in recent years as many companies adopt hosted services. One of the major reasons for cloud outages is the service level for availability, reliability, security not being met as mentioned in a service level agreement. The main purpose of this thesis is to introduce a model to calculate, control and reduce the risk of cloud outages. The objective is also to help consumers make an educated decision and to help them select a right providers. In order to understand the granularity of risk of cloud outage and its impact in the current cloud business, a survey was conducted to support our claim that there is a strong need to calculate the risk associated with a service before signing a service level agreement. Survey responses also helped to prioritize the service level parameters used in our model from the consumer point of view.   Our model considers requirements, priorities, service level parameters, and cost as inputs. This model implements a modified version of a well-known mathematical model, Weighted Product Model (WPM) to compare different providers and to sort the eligible cloud providers. The methodology also uses Value At Risk (VAR) term, which is widely used term in the financial industry. The final output of the model, gives the risk value associated for a service for each parameter. Additionally, the model shows the probabilistic value for occurrence of cloud outage. The resulted information will be helpful for consumers to select a right cloud service provider with a minimum risk of cloud outage. This information will bring visibility of risk between a provider and a consumer helping to reduce the risk of cloud outage after the adoption of cloud service  
    URI
    http://hdl.handle.net/10342/4689
    Subject
    Computer science
    Date
    2014
    Citation:
    APA:
    Hotwani, Komal. (January 2014). Formal Model To Reduce the Risk Of Cloud Outages (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/4689.)

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Hotwani, Komal. Formal Model To Reduce the Risk Of Cloud Outages. Master's Thesis. East Carolina University, January 2014. The Scholarship. http://hdl.handle.net/10342/4689. September 27, 2023.
    Chicago:
    Hotwani, Komal, “Formal Model To Reduce the Risk Of Cloud Outages” (Master's Thesis., East Carolina University, January 2014).
    AMA:
    Hotwani, Komal. Formal Model To Reduce the Risk Of Cloud Outages [Master's Thesis]. Greenville, NC: East Carolina University; January 2014.
    Collections
    • Computer Science
    • Master's Theses
    Publisher
    East Carolina University

    xmlui.ArtifactBrowser.ItemViewer.elsevier_entitlement

    East Carolina University has created ScholarShip, a digital archive for the scholarly output of the ECU community.

    • About
    • Contact Us
    • Send Feedback