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Self-scalable Benchmarking as a Service with Automatic Saturation Detection
A Benchmark-as-a-Service platform based on a intelligent generation of traffic to the benched application without inducing thrashing and a virtualized and self-scalable load injection system that was found to reduce the cost of testing by 50% compared to more commonly used solutions.
Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study
- C. Karri, O. Cheikhrouhou, Ahmed Harbaoui, Atef Zaguia, H. Hamam
- Computer ScienceApplied Sciences
- 15 July 2021
This paper aims to study the security and performance of potential encryption algorithms and their impact on the deep-learning-based face recognition task’s accuracy after encrypting the images of the ORL database using cryptography and image-processing based algorithms.
Introducing Queuing Network-Based Performance Awareness in Autonomic Systems
- Ahmed Harbaoui, Nabila Salmi, B. Dillenseger, J. Vincent
- Business, Computer ScienceSixth International Conference on Autonomic and…
- 7 March 2010
A global and partially automated process based on queues and queuing networks models to be able to predict the performance of a target configuration when a self-* feature is planning a system reconfiguration.
Performance characterization of black boxes with self-controlled load injection for simulation-based sizing
This work proposes a methodology that combines both solutions by first identifying a middle-grain model made of interconnected black boxes, and then to separately characterize the performance and resource consumption of these black boxes.
A Self-Scalable and Auto-Regulated Request Injection Benchmarking Tool for Automatic Saturation Detection
- A. Tchana, B. Dillenseger, Ahmed Harbaoui
- Computer ScienceIEEE Transactions on Cloud Computing
- 1 July 2014
A Benchmark-as-a-Service platform based on intelligent generation of traffic to the benched application without inducing thrashing and a virtualized and self-scalable load injection system that was found to reduce the cost of testing by 50 percent compared to more commonly used solutions.
Model-Based Performance Anticipation in Multi-tier Autonomic Systems: Methodology and Experiments
A global and partially automated process based on queues and queuing networks modelling to introduce performance prediction of a possible target configuration when a self-* feature is planning a system reconfiguration.
Automatic performance modelling of black boxes targetting self-sizing
This report shows how to derive automatically the performance model of one black box considered as a constituent of a distributed system, starting from load injection experiments, from statistical analysis of measured metrics, namely response time.
Connected Objects Geo-Localization Based on SS-RSRP of 5G Networks
A novel technique to geo-locate connected object in a covered 5G area by exploiting the 5G SS-RSRP used for signal quality measurement, to estimate the distance between two Connected Objects (COs) in move and in a dense urban area.
Brain abscess due to Candida glabrata in an immunocompetent patient. A case report with update and literature review