Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments

BH Abed-Alguni, NA Alawad - Applied Soft Computing, 2021 - Elsevier
Optimal scheduling of workflows in cloud computing environments is an essential element to
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …

Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems

BH Abed-alguni, D Paul - Soft Computing, 2022 - Springer
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …

Social recommender systems

I Guy, D Carmel - Proceedings of the 20th international conference …, 2011 - dl.acm.org
The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …

Discrete island-based cuckoo search with highly disruptive polynomial mutation and opposition-based learning strategy for scheduling of workflow applications in …

NA Alawad, BH Abed-alguni - Arabian Journal for Science and …, 2021 - Springer
The optimization-based scheduling algorithms used for scheduling workflows in cloud
computing environments may easily get trapped in local optima, especially in the beginning …

Improved Salp swarm algorithm for solving single-objective continuous optimization problems

BH Abed-Alguni, D Paul, R Hammad - Applied Intelligence, 2022 - Springer
Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …

Discrete Jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem

NA Alawad, BH Abed-alguni - The Journal of Supercomputing, 2022 - Springer
Abstract The Permutation Flow Shop Scheduling Problem (PFSSP) is an interesting
scheduling problem that has many real-world applications. It has been widely used as a …

A literature review for recommender systems techniques used in microblogs

L Terán, AO Mensah, A Estorelli - Expert Systems with Applications, 2018 - Elsevier
Online social networks (OSNs) are receiving great attention from the research community for
different purposes, such as event detection, crisis management, and forecasting, among …

Microblogs data management: a survey

A Magdy, L Abdelhafeez, Y Kang, E Ong, MF Mokbel - The VLDB Journal, 2020 - Springer
Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

Microblog conversation recommendation via joint modeling of topics and discourse

X Zeng, J Li, L Wang, N Beauchamp… - Proceedings of the …, 2018 - aclanthology.org
Millions of conversations are generated every day on social media platforms. With limited
attention, it is challenging for users to select which discussions they would like to participate …

[HTML][HTML] Directional user similarity model for personalized recommendation in online social networks

AB Suhaim, J Berri - Journal of King Saud University-Computer and …, 2022 - Elsevier
With the huge amount of information available in online social networks and the increasing
spread of user generated data in different forms, personal recommendation systems …