Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
2 result(s) for "Al-Ghuwairi, Abdel-Rahman F."
Sort by:
Toward Smart and Immersive Classroom based on AI, VR, and 6G
The technological revolutions greatly impact current and future Classrooms. These advances in technology include the revolution of artificial intelligence, virtual reality, and super highspeed internet. In the coming next generation (6G), the data rate will be very sufficient for live scenes in virtual reality applications such as telepresence and teleoperation. This paper review and discuss next-generation technologies in AI, VR, and communication. Moreover, we examine the motivation for establishing an Advanced Technology based Smart and Immersive Classroom (SIC) and the advantages of its availability to the virtual society. Recent advances in computer and communications technology have delivered capabilities to tomorrow’s SIC. Advances in virtual reality and real-time streaming on the internet have created a revolution in curricula and classrooms. Index Terms—Virtual Reality in education; 6G for education, Artificial Intelligence in education, Immersive Classroom
Formal modeling and dynamic verification of service level agreements in cloud computing
A Service Level Agreement (SLA) defines the contract between a cloud provider and a cloud customer, detailing the resources being provided, the price the user will pay, and the Quality of Service (QoS) guarantees that the cloud provider ensures for the customer. If the QoS guarantees are not upheld, typically the cloud provider is assessed some penalties, such as a payment credit for the customer. Monitoring and enforcing the SLA is an area of open research, and in this research we present the foundations towards a full realization of an SLA monitoring infrastructure. We proposed a formal model that can precisely describe both the SLA QoS guarantees and the penalties assessed for violation. Also, we implemented the proposed model as a dynamic SLA monitoring infrastructure system which is used for automatic SLA enforcement efficiently. Our SLA monitoring system can be deployed in any cloud environment and it can be used to monitor any type of QoS parameters. The performance and efficiency of the proposed SLA framework was measured and proved that our SLA model is efficient and reliable.