Výsledky vyhľadávania - "Taheri, Javid"

E-PSOGA: An Enhanced Hybrid Metaheuristic for Optimal Edge-to-Cloud Placement of Services with Multi-Version Components

Autori: Garshasbi Herabad, Mohammadsadeq Taheri, Javid Ahmed, Bestoun S. a ďalší

Zdroj: IEEE Access. 13:151170-151188

Predmety: Augmented reality, Complex networks, Computational complexity, Computational efficiency, Heuristic algorithms, Quality of service, Reliability, Repair, Response time (computer systems), Virtual reality, Cloud-computing, Edge-to-cloud computing, Multi-version, Optimal service placement, Particle swarm, Particle swarm optimization, Runtimes, Service placements, Solution quality, Swarm optimization, Genetic algorithms, Particle swarm optimization (PSO), Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106828
https://doi.org/10.1109/ACCESS.2025.3603329

Towards Generic Failure-Prediction Models in Large-Scale Distributed Computing Systems

Autori: Jagannathan, Srigoutam Sharma, Yogesh Taheri, Javid

Zdroj: Electronics. 14(17)

Predmety: distributed computing, fault detection, machine learning algorithms, prediction algorithms, performance evaluation, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-107038
https://doi.org/10.3390/electronics14173386

GPTOR: Gridded GA and PSO-based task offloading and ordering in IoT-edge-cloud computing

Autori: Mahmoudi, Arezou Farzinvash, Leili Taheri, Javid

Zdroj: Results in Engineering (RINENG). 25

Predmety: Cloud platforms, Computation offloading, Mobile edge computing, Optimization algorithms, Particle swarm optimization (PSO), Cloud layers, Cloud-computing, Customized operator, Edge computing, Gridding, Particle swarm, Particle swarm optimization, Swarm optimization, Task offloading, Task orders, Genetic algorithms, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-103403
https://doi.org/10.1016/j.rineng.2025.104196

Investigating the Applicability of Nested Secret Share for Drone Fleet Photo Storage

Autori: Galletta, Antonino Taheri, Javid Celesti, Antonio a ďalší

Zdroj: IEEE Transactions on Mobile Computing. 23(4):2671-2683

Predmety: Drones, Cryptography, Mobile computing, Cloud computing, Base stations, Task analysis, Storage management, secret share algorithms, nested secret share algorithms, redundant residue number system, Shamir schema, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99491
https://doi.org/10.1109/TMC.2023.3263115

PerfSim: A Performance Simulator for Cloud Native Microservice Chains

Autori: Gokan Khan, Michel Taheri, Javid Al-Dulaimy, Auday a ďalší

Zdroj: IEEE Transactions on Cloud Computing. (2):1395-1413

Predmety: performance simulator, performance modeling, cloud native computing, service chains, simulation platform, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-83686
https://doi.org/10.1109/TCC.2021.3135757

Fault-Tolerant Cost-Efficient Scheduling for Energy and Deadline-Constrained IoT Workflows in Edge-Cloud Continuum

Autori: Taghinezhad-Niar, Ahmad Taheri, Javid

Zdroj: IEEE Transactions on Services Computing. 18(5):2892-2903

Predmety: Computational cost, Constrained optimization, Continuous time systems, Costs, Edge computing, Fault tolerance, Green computing, Markov processes, Medical imaging, Scheduling algorithms, Traffic congestion, Workflow management, Cost-aware, Edge, Edge clouds, Energy-constrained, Fault-tolerant, Latency, Real- time, Reliable energy, Work-flows, Workflow scheduling, Clouds, Computer Science, Datavetenskap

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106747

A Survey on Observability of Distributed Edge & Container-based Microservices

Autori: Usman, Muhammad Ferlin, Simone Brunström, Anna a ďalší

Zdroj: IEEE Access. 10:86904-86919

Predmety: Automation, cloud-native, containers, DevOps, edge, Industrial Internet of Things (IIoT), microservices, monitoring, observability, operation, software-defined infrastructure, visibility, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-91595
https://doi.org/10.1109/ACCESS.2022.3193102

A survey study on meta-heuristic-based feature selection approaches of intrusion detection systems in distributed networks

Autori: Khah, Yashar Pourardebil Shirvani, Mirsaeid Hosseini Taheri, Javid

Zdroj: Computer Standards & Interfaces. 96

Predmety: Intrusion detection system (IDS), Fog computing, Feature selection, Metaheuristic algorithms, Network security, Computer Science, Datavetenskap

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-107348

Service Function Chain Placement for Joint Cost and Latency Optimization

Autori: Khoshkholghi, Mohammad Ali Gokan Khan, Michel Alizadeh Noghani, Kyoomars a ďalší

Zdroj: Mobile Networks and Applications. 25(6):2191-2205

Predmety: Cloud/edge computing, Network function virtualization, Optimization, Service chain placement, Cost reduction, Embeddings, Heuristic algorithms, Multiobjective optimization, Optimal systems, Pareto principle, Quality of service, Transfer functions, Conflicting objectives, Emerging technologies, Latency optimizations, Multi-objective optimization models, Optimization approach, Optimization modeling, Pareto optimal solutions, Qualityof-service requirement (QoS), Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-83100
https://doi.org/10.1007/s11036-020-01661-w

Validating the Sharing Behavior and Latency Characteristics of the L4S Architecture

Autori: Oljira, Dejene Boru Grinnemo, Karl-Johan Brunström, Anna a ďalší

Zdroj: HITS Computer communication review. 50(2):37-44

Predmety: Congestion control, L4S, ECN, Low-latency, Reproducibility, Datavetenskap, Computer Science

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-77494
https://doi.org/10.1145/3402413.3402419

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm

Autori: Garshasbi Herabad, Mohammadsadeq Taheri, Javid Ahmed, Bestoun S. a ďalší

Zdroj: Proceedings of the 14th International Conference on Cloud Computing and Services Science CLOSER. :77-91

Predmety: Edge-to-Cloud Computing, Service Placement, Multi-Objective Genetic Algorithm, Augmented Reality, Virtual Reality., Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99765
https://doi.org/10.5220/0000186400003711

AIDA—Aholistic AI-driven networking and processing framework for industrial IoT applications

Autori: Chahed, Hamza Usman, Muhammad Chatterjee, Ayan a ďalší

Zdroj: Internet of Things. 22

Predmety: Edge/cloud computing, Internet of Things (IoT), Machine Learning, Time-Sensitive Networks (TSN), Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-94900
https://doi.org/10.1016/j.iot.2023.100805

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems Using a Multi-Objective Genetic Algorithm

Autori: Herabad, Mohammadsadeq G. Taheri, Javid Ahmed, Bestoun S. a ďalší

Prispievatelia: Herabad, Mohammadsadeq G. Taheri, Javid Ahmed, Bestoun S. a ďalší

Zdroj: Herabad, M G, Taheri, J, Ahmed, B S & Curescu, C 2024, Optimizing service placement in edge-to-cloud AR/VR systems using a multi-objective genetic algorithm. in M van Steen & C Pahl (eds), Proceedings of the 14th International Conference on Cloud Computing and Services Science, CLOSER 2024. vol. 1, International Conference on Cloud Computing and Services Science, CLOSER-Proceedings, Science and Technology Publications, Lda, pp. 77-91, 14th International Conference on Cloud Computing and Services Science, CLOSER 2024, Angers, France, 02/05/2024. https://doi.org/10.5220/0012715200003711

Predmety: FOS: Computer and information sciences, 7. Clean energy, name=Computer Science (miscellaneous), Computer Systems, name=Computer Science Applications, Multi-Objective Genetic Algorithm, Augmented Reality, Computer Sciences, 9. Industry and infrastructure, Virtual Reality, Edge-to-Cloud Computing, name=Software, Datorsystem, Datavetenskap (datalogi), Computer Science - Distributed, Parallel, and Cluster Computing, Service Placement, Distributed, Parallel, and Cluster Computing (cs.DC)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2403.12849
https://pure.qub.ac.uk/en/publications/a29a8ee0-5ef8-4e2e-b472-23d13753ceb5
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99765

Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach

Autori: Khan, Michel Gokan Taheri, Javid Kassler, Andreas a ďalší

Prispievatelia: Khan, Michel Gokan Taheri, Javid Kassler, Andreas a ďalší

Zdroj: ICC 2024 - IEEE International Conference on Communications. :2913-2918

Predmety: style, component, name=Computer Networks and Communications, formatting, styling, name=Electrical and Electronic Engineering, insert

Popis súboru: application/pdf

MRM-PSO: An enhanced particle swarm optimization technique for resource management in highly dynamic edge computing environments

Autori: Molaei, Sajjad Sabaei, Masoud Taheri, Javid

Zdroj: Ad hoc networks. 178

Predmety: Edge/fog computing, resource management, container placement, optimization, Particle Swarm Optimization (PSO), Computer Science, Datavetenskap

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-105895

Security, Reliability, Cost, and Energy-Aware Scheduling of Real-Time Workflows in Compute-Continuum Environments

Autori: Taghinezhad-Niar, Ahmad Taheri, Javid

Zdroj: IEEE Transactions on Cloud Computing. 12(3):954-965

Predmety: Task analysis, Reliability, Security, Cloud computing, Processor scheduling, Costs, Internet of Things, Compute-continuum, real-time, workflow scheduling, Computer Science, Datavetenskap

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-101840

Cost-Effective and Robust Service Provisioning in Multi-Access Edge Computing

Autori: Xiang, Zhengzhe Zheng, Yuhang Wang, Dongjing a ďalší

Zdroj: IEEE Transactions on Parallel and Distributed Systems. 35(10):1765-1779

Predmety: Servers, Resource management, Costs, Robustness, Artificial intelligence, Power system protection, Power system faults, Edge computing, resource allocation, service computing, traffic scheduling, Computer Science, Datavetenskap

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-101622

IntOpt: In-band Network Telemetry optimization framework to monitor network slices using P4

Autori: Bhamare, Deval Kassler, Andreas Vestin, Jonathan a ďalší

Zdroj: Computer Networks. 216

Predmety: 5G mobile communication systems, Heterogeneous networks, Heuristic methods, Indium compounds, Integer programming, Network function virtualization, Simulated annealing, Telemetering equipment, Transfer functions, Virtual reality, Active probing, In-band, In-band network telemetry, Monitoring frameworks, Optimization framework, Service function chain, Service functions, Traffic rate, Traffic volumes, Monitoring, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-91814
https://doi.org/10.1016/j.comnet.2022.109214

Composition-Driven IoT Service Provisioning in Distributed Edges

Autori: Deng, Shuiguang Xiang, Zhengzhe Yin, Jianwei a ďalší

Zdroj: IEEE Access. 6:54258-54269

Predmety: Mobile edge computing, Internet of Thing, service provisioning, service composition, Matematik, Mathematics, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-70056
https://doi.org/10.1109/ACCESS.2018.2871475

Using Machine Learning to Predict the Exact Resource Usage of Microservice Chains

Autori: Taheri, Javid Gördén, Arvid Al-Dulaimy, Auday

Zdroj: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. :1-9

Predmety: Cost effectiveness, Data acquisition, Data handling, Data mining, Extraction, Forecasting, Learning algorithms, Machine learning, Metadata, Auto-scaling, Cloud-computing, Data collection, Kubernetes, Machine learning techniques, Machine-learning, Microservice, Resource management, Resources utilizations, Scalings, Cloud computing, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-100095
https://doi.org/10.1145/3603166.3632166