• Building a Test Collection for Significant-Event Detection in Arabic Tweets 

      Almerekhi, Hind Ali (2016 , Master Thesis)
      With the increasing popularity of microblogging services like Twitter, researchers discov- ered a rich medium for tackling real-life problems like event detection. However, event detection in Twitter is often obstructed ...
    • Deep Learning Based Approach For Prediction Of Cloud Resource Needs 

      Al- Qutan, Anwar (2018 , Professional Masters Project)
      Cloud computing allows scaling applications to serve dynamic and time-varying workloads and to avoid application performance degradation, while keeping low provisioning costs. But, resource demand of applications need to ...
    • Multimodal Intrusion Detection System for Cyber Physical Systems 

      Eltanbouly, Sohaila Salah (2021 , Master Thesis)
      Cyber-Physical Systems (CPS) are deployed to control critical infrastructure in many fields, including industry and manufacturing. In recent years, CPS have been affected by cyberattacks due to the increased connectivity ...
    • QUEUEING THEORY BASED KUBERNETES AUTOSCALER 

      KADOURA, KHALED NABIL (2018 , Professional Masters Project)
      The microservices architecture is emerging as a new architectural style for designing and developing applications by composing loosely coupled services that exchange standard messages using standard interfaces and protocols. ...
    • Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications 

      Aboueata, Nada Mahmoud (2019 , Master Thesis)
      Proactive auto-scaling techniques aim to predict the future workload of web applications to provision the required resources, such as virtual machines (VMs), ahead of time. Nevertheless, deciding the optimal number of ...