Browsing by Author "Erradi A."
Now showing items 1-14 of 14
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Adaptive Prediction Models for Data Center Resources Utilization Estimation
Baig S.-U.-R.; Iqbal W.; Berral J.L.; Erradi A.; Carrera D. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co-hosted applications having dynamic and time-varying workloads. Accurate estimation of future resources utilization helps ... -
ArabicTutor: a Multimedia m-Learning Platform for Learning Arabic Spelling and Vocabulary
Erradi, A.; Al-kailani, Lubna; Almerekhi, Hind; Nahia, Sajeda ( IEEE , 2012 , Conference Paper)Internet-enabled Mobile devices are increasingly used for enhancing the learning experience particularly for language learning. They can be exploited to allow learners to access and interact with multimedia learning resources ... -
Cost Optimization Algorithms for Hot and Cool Tiers Cloud Storage Services
Mansouri Y.; Erradi A. ( IEEE Computer Society , 2018 , Conference Paper)In this paper, we consider the data placement problem in the new generation tiered cloud storage services offering hot and cool tiers that are characterized by differentiated Quality of Service (i.e, access latency, ... -
Data-driven curation, learning and analysis for inferring evolving IoT botnets in the wild
Pour M.S.; Mangino A.; Friday K.; Rathbun M.; Bou-Harb E.; Iqbal F.; Shaban K.; Erradi A.... more authors ... less authors ( Association for Computing Machinery , 2019 , Conference Paper)The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructure realms. Several challenges impede addressing IoT security at large, including, the lack of IoT-centric ... -
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning
Ben Said A.; Erradi A. ( IEEE Computer Society , 2019 , Conference Paper)Mobile crowdsourcing has become easier thanks to the widespread of smartphones capable of seamlessly collecting and pushing the desired data to cloud services. However, the success of mobile crowdsourcing relies on balancing ... -
Detecting False Data Injection Attacks in Linear Parameter Varying Cyber-Physical Systems
Golabi A.; Erradi A.; Tantawy A.; Shaban K. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this paper, we investigate the process of detection of False Data Injection (FDI) in a Linear Parameter Varying (LPV) cyber-physical system (CPS). We design a model based FDI detector capable of detecting false data ... -
Dynamic workload patterns prediction for proactive auto-scaling of web applications
Iqbal W.; Erradi A.; Mahmood A. ( Academic Press , 2018 , Article)Proactive auto-scaling methods dynamically manage the resources for an application according to the current and future load predictions to preserve the desired performance at a reduced cost. However, auto-scaling web ... -
Learning predictive autoscaling policies for cloud-hosted microservices using trace-driven modeling
Abdullah M.; Iqbal W.; Erradi A.; Bukhari F. ( IEEE Computer Society , 2019 , Conference Paper)Autoscaling methods are important to ensure response time guarantees for cloud-hosted microservices. Most of the existing state-of-the-art autoscaling methods use rule-based reactive policies with static thresholds defined ... -
Passive inference of attacks on CPS communication protocols
Bou-HarbE.; GhaniN.; ErradiA.; ShabanK. ( Elsevier Ltd , 2018 , Article)The security of Cyber-Physical Systems (CPS) has been recently receiving significant attention from the research community. While the majority of such attention originates from the control theory domain, few approaches ... -
QoS dependency modeling for composite systems
Hashmi K.; Malik Z.; Erradi A.; Rezgui A. ( Institute of Electrical and Electronics Engineers , 2018 , Article)Software as a service is a well accepted software deployment and distribution model that has grown exponentially in the last few years. One of the biggest benefits of SaaS is the automated composition of different services ... -
Real-time data center's telemetry reduction and reconstruction using markov chain models
Baig S.-U.-R.; Iqbal W.; Berral J.L.; Erradi A.; Carrera D. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Large-scale data centers are composed of thousands of servers organized in interconnected racks to offer services to users. These data centers continuously generate large amounts of telemetry data streams (e.g., hardware ... -
Spatiotemporal data mining: a survey on challenges and open problems
Hamdi A.; Shaban K.; Erradi A.; Mohamed A.; Rumi S.K.; Salim F.D.... more authors ... less authors ( Springer Science and Business Media B.V. , 2022 , Article)Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, ... -
Subjective Evaluation of Market-Driven Cloud Services
Jayaratna M.S.H.; Bouguettaya A.; Dong H.; Qin K.; Erradi A. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)We investigate the use of subjective metrics in social media to evaluate cloud service performance in the market. We first examine the subjective factors that drive cloud consumers to/from purchasing cloud services. These ... -
Unsupervised learning approach for web application auto-decomposition into microservices
Abdullah M.; Iqbal W.; Erradi A. ( Elsevier Inc. , 2019 , Article)Nowadays, large monolithic web applications are manually decomposed into microservices for many reasons including adopting a modern architecture to ease maintenance and increase reusability. However, the existing approaches ...