Search Results for author: Ali Movaghar

Found 7 papers, 0 papers with code

QOCO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

no code implementations4 Nov 2023 Iman Rahmati, Hamed Shah-Mansouri, Ali Movaghar

In this study, we delve into computation offloading in MEC systems, where strict task processing deadlines and energy constraints can adversely affect the system performance.

Edge-computing

Dynamic VNF Placement, Resource Allocation and Traffic Routing in 5G

no code implementations18 Feb 2021 Morteza Golkarifard, Carla Fabiana Chiasserini, Francesco Malandrino, Ali Movaghar

5G networks are going to support a variety of vertical services, with a diverse set of key performance indicators (KPIs), by using enabling technologies such as software-defined networking and network function virtualization.

Networking and Internet Architecture

A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things

no code implementations26 Sep 2019 Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, H. Eugene Stanley

We model the SIoT with a flexible bipartite graph (containing two sets of nodes: service providers and service requestors), then build a social network among the service requestor nodes, using the Hellinger distance.

Management

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction

no code implementations5 Dec 2016 Seyed Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, Elahe Ghalebi K., Radu Grosu, Ali Movaghar

Hence, we build our method, called Hell-TrustSVD, on top of the state-of-the-art social recommendation technique to incorporate both the extracted implicit social relations and ratings given by users on the prediction of items for an active user.

Recommendation Systems Relation +1

Learning an Integrated Distance Metric for Comparing Structure of Complex Networks

no code implementations13 Jul 2013 Sadegh Aliakbary, Sadegh Motallebi, Jafar Habibi, Ali Movaghar

According to natural witnesses of network similarities (such as network categories) the distance metric is learned by the means of a dataset of some labeled real networks.

Clustering General Classification +1

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