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Hårek Haugerud
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2020 – today
- 2024
- [j12]Ángel Fernández Gambín, Anis Yazidi, Athanasios V. Vasilakos, Hårek Haugerud, Youcef Djenouri:
Deepfakes: current and future trends. Artif. Intell. Rev. 57(3): 64 (2024) - [c25]Jaya Ojha
, Hårek Haugerud
, Anis Yazidi
, Pedro G. Lind
:
Exploring Interpretable AI Methods for ECG Data Classification. ICDAR@ICMR 2024: 11-18 - 2023
- [j11]Mohamed Ould-Elhassen Aoueileyine
, Hajar Bennouri
, Amine Berqia, Pedro G. Lind
, Hårek Haugerud, Ondrej Krejcar
, Ridha Bouallegue, Anis Yazidi:
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. Sensors 23(8): 3877 (2023) - 2022
- [j10]Ramesh Upreti, Ashish Rauniyar
, Jeevan Kunwar, Hårek Haugerud, Paal Engelstad, Anis Yazidi
:
Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j9]Hårek Haugerud, Mohamad Sobhie, Anis Yazidi:
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. Frontiers Big Data 5: 686416 (2022) - [c24]Aws Naser Jaber
, Lothar Fritsch, Hårek Haugerud:
Improving Phishing Detection with the Grey Wolf Optimizer. ICEIC 2022: 1-6 - [c23]Meraj Mostam Kashi, Anis Yazidi, Hårek Haugerud:
Mitigating Yo-Yo attacks on cloud auto-scaling. WMNC 2022: 46-53 - [c22]Fabrizio Palumbo, Adam Buji, Anis Yazidi, Hårek Haugerud:
Genetic Algorithms For Tightening Security. WMNC 2022: 62-69 - 2021
- [j8]Eirik Molde Bårli
, Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud
:
DoS and DDoS mitigation using Variational Autoencoders. Comput. Networks 199: 108399 (2021) - [j7]Hårek Haugerud
, Huy Nhut Tran, Nadjib Aitsaadi, Anis Yazidi:
A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization. Future Gener. Comput. Syst. 124: 254-267 (2021) - [i3]Eirik Molde Bårli, Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud:
DoS and DDoS Mitigation Using Variational Autoencoders. CoRR abs/2105.06899 (2021) - 2020
- [j6]Madeleine Victoria Kongshavn, Hårek Haugerud
, Anis Yazidi
, Torleiv Maseng, Hugo Hammer
:
Mitigating DDoS using weight-based geographical clustering. Concurr. Comput. Pract. Exp. 32(11) (2020) - [j5]Hårek Haugerud
, Noha Xue, Anis Yazidi
:
On automated cloud bursting and hybrid cloud setups using Apache Mesos. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j4]Disha Sangar, Ramesh Upreti, Hårek Haugerud, Kyrre M. Begnum, Anis Yazidi:
Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center. Trans. Large Scale Data Knowl. Centered Syst. 45: 172-198 (2020) - [c21]Hårek Haugerud, Jonas Krüger Svensson, Anis Yazidi:
Autonomous Provisioning of Preemptive Instances in Google Cloud for Maximum Performance Per Dollar. Cloudtech 2020: 1-8 - [c20]Torgeir Fladby, Hårek Haugerud, Stefano Nichele, Kyrre M. Begnum, Anis Yazidi:
Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. RACS 2020: 161-166
2010 – 2019
- 2019
- [c19]Ashish Rauniyar
, Jeevan Kunwar, Hårek Haugerud
, Anis Yazidi, Paal Engelstad:
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. DiCES-N@ICTAC 2019: 133-147 - [c18]Anis Yazidi, Frederik Ung, Hårek Haugerud
, Kyrre M. Begnum:
Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios. ISCC 2019: 1-4 - [c17]Anis Yazidi, Hårek Haugerud
, Frederik Ung, Kyrre M. Begnum:
Minimum-Impact First: Scheduling Virtual Machines Under Maintenance Scenarios. MEDES 2019: 213-218 - [c16]Naveed Khan, Hårek Haugerud
, Raju Shrestha
, Anis Yazidi:
Optimizing Power and Energy Efficiency in Cloud Computing. MEDES 2019: 256-261 - [c15]Disha Sangar, Hårek Haugerud
, Anis Yazidi, Kyrre M. Begnum:
A Decentralized Approach for Homogenizing Load Distribution: In Cloud Data Center Based on Stable Marriage Matching. MEDES 2019: 292-299 - [c14]Cise Midoglu, Magnus Klausen, Özgü Alay, Anis Yazidi, Hårek Haugerud
, Carsten Griwodz:
Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming. S3@MobiCom 2019: 13 - 2018
- [j3]Anis Yazidi, Frederik Ung, Hårek Haugerud
, Kyrre M. Begnum:
Effective live migration of virtual machines using partitioning and affinity aware-scheduling. Comput. Electr. Eng. 69: 240-255 (2018) - [j2]Hugo Lewi Hammer
, Anis Yazidi, Alfred Bratterud, Hårek Haugerud
, Boning Feng:
A Queue Model for Reliable Forecasting of Future CPU Consumption. Mob. Networks Appl. 23(4): 840-853 (2018) - [c13]Bartosz Gembala, Anis Yazidi, Hårek Haugerud
, Stefano Nichele:
Autonomous configuration of network parameters in operating systems using evolutionary algorithms. RACS 2018: 118-125 - [c12]Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud
, Asieh Abolpour Mofrad
, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. SSCI 2018: 875-883 - [i2]Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud, Asieh Abolpour Mofrad, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution. CoRR abs/1807.04505 (2018) - [i1]Bartosz Gembala, Anis Yazidi, Hårek Haugerud, Stefano Nichele:
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms. CoRR abs/1808.10733 (2018) - 2017
- [c11]Noha Xue, Hårek Haugerud
, Anis Yazidi:
Towards a Hybrid Cloud Platform Using Apache Mesos. AIMS 2017: 143-148 - [c10]Kabin Tamrakar, Anis Yazidi, Hårek Haugerud
:
Cost Efficient Batch Processing in Amazon Cloud with Deadline Awareness. AINA 2017: 963-971 - [c9]Bilal Ahmad, Anis Yazidi, Hårek Haugerud
, Soodeh Farokhi:
Orchestrating resource allocation for interactive vs. batch services using a hybrid controller. IM 2017: 1195-1203 - [c8]Madeleine Victoria Kongshavn, Anis Yazidi, Hårek Haugerud
, Hugo Hammer:
Data Mining Approaches for IP Address Clustering. INISCOM 2017: 266-275 - [c7]Evangelos Tasoulas, Hugo Lewi Hammer, Hårek Haugerud
, Anis Yazidi, Alfred Bratterud, Boning Feng:
The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements. NCA 2017: 113-117 - 2016
- [c6]Hugo Lewi Hammer, Anis Yazidi, Alfred Bratterud, Hårek Haugerud
, Boning Feng:
Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. INISCOM 2016: 14-28 - 2015
- [c5]Alfred Bratterud, Alf-Andre Walla, Hårek Haugerud
, Paal E. Engelstad, Kyrre M. Begnum:
IncludeOS: A Minimal, Resource Efficient Unikernel for Cloud Services. CloudCom 2015: 250-257 - 2013
- [c4]Alfred Bratterud, Hårek Haugerud
:
Maximizing Hypervisor Scalability Using Minimal Virtual Machines. CloudCom (1) 2013: 218-223 - 2012
- [c3]Vangelis Tasoulas, Hårek Haugerud, Kyrre M. Begnum:
Bayllocator: A Proactive System to Predict Server Utilization and Dynamically Allocate Memory Resources Using Bayesian Networks and Ballooning. LISA 2012: 111-121 - 2010
- [c2]Jarle Bjørgeengen, Hårek Haugerud:
Using TCP/IP Traffic Shaping to Achieve iSCSI Service Predictability. LISA 2010
2000 – 2009
- 2002
- [j1]Mark Burgess, Hårek Haugerud
, Sigmund Straumsnes, Trond Reitan
:
Measuring system normality. ACM Trans. Comput. Syst. 20(2): 125-160 (2002) - 2001
- [c1]Hårek Haugerud, Sigmund Straumsnes:
Simulation of User-Driven Computer Behaviour. LISA 2001: 101-108
Coauthor Index
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last updated on 2024-06-19 21:01 CEST by the dblp team
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