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Nayereh Rasouli
Researcher at Islamic Azad University
Publications - 6
Citations - 135
Nayereh Rasouli is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Wireless sensor network & Scalability. The author has an hindex of 3, co-authored 6 publications receiving 41 citations. Previous affiliations of Nayereh Rasouli include University of Science and Culture.
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Journal ArticleDOI
GRP-HEFT: A Budget-Constrained Resource Provisioning Scheme for Workflow Scheduling in IaaS Clouds
Hamid Reza Faragardi,Mohammad Reza Saleh Sedghpour,Saber Fazliahmadi,Thomas Fahringer,Nayereh Rasouli +4 more
TL;DR: A novel resource provisioning mechanism and a workflow scheduling algorithm, named Greedy Resource Provisioning and modified HEFT (GRP-HEFT), for minimizing the makespan of a given workflow subject to a budget constraint for the hourly-based cost model of modern IaaS clouds.
Journal ArticleDOI
EPBLA: energy-efficient consolidation of virtual machines using learning automata in cloud data centers
TL;DR: Simulation results showed the efficiency of EPBLA in terms of reduction of energy consumption by 20% and 30% compared with PBLA and Firefly, respectively.
Journal ArticleDOI
SYNCOP: An evolutionary multi-objective placement of SDN controllers for optimizing cost and network performance in WSNs
TL;DR: The Cuckoo optimization algorithm, a nature-inspired population-based meta-heuristic algorithm to solve the optimization problem of SDN controllers, seeks to find the global optimum by imitating brood parasitism of some cuckoo species.
Journal ArticleDOI
A Quantum-Annealing-Based Approach to Optimize the Deployment Cost of a Multi-Sink Multi-Controller WSN
Reihaneh Nikouei,Nayereh Rasouli,Shirin Tahmasebi,Somayeh Zolfi,Hamid Reza Faragardi,Hossein Fotouhi +5 more
TL;DR: Software Defined Networking (SDN) provides network significant reconfiguration capability to Wireless Sensor Networks (WSNs) with high scalability and high re ...
Proceedings ArticleDOI
A Reliability Aware Algorithm for Workflow Scheduling on Cloud Spot Instances Using Artificial Neural Network
TL;DR: In this paper, an Artificial Neural Network algorithm (ANN) is used to define a failure prediction module for the cloud spot instances and a workflow scheduling algorithm, named Reliability Aware and modified HEFT (Heterogeneous Earliest Finish Time), is introduced to minimize the makespan of a given workflow subject to a specified reliability of the application.