Browsing by Author "Erradi, Abdelkarim"
Now showing items 1-7 of 7
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Building a Test Collection for Significant-Event Detection in Arabic Tweets
(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 ... -
Cdascaler: a cost-effective dynamic autoscaling approach for containerized microservices
( Springer , 2024 , Article)Microservices are containerized, loosely coupled, interactive smaller units of the application that can be deployed, reused, and maintained independently. In a microservices-based application, allocating the right computing ... -
Deep Learning Based Approach For Prediction Of Cloud Resource Needs
(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 ... -
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
( Springer , 2024 , Article)The reverse osmosis (RO) process is a well-established desalination technology, wherein energy-efficient techniques and advanced process control methods significantly reduce production costs. This study proposes an optimal ... -
QUEUEING THEORY BASED KUBERNETES AUTOSCALER
(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. ... -
Reverse osmosis desalination process modeling and simulation with membrane fouling
( American Institute of Physics , 2024 , Conference)Analyzing the correlation between the key RO operating conditions and performance indicators requires accurate reverse osmosis (RO) model that facilitates understanding and evaluating membrane performance. This study aims ... -
Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications
(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 ...
