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Energy Efficient High-Performance Computing Aware Proactive Dynamic Virtual Machine Consolidation Technique in Cloud Computing by Rukshanda, Kamran

“…High-Performance Computing (HPC) applications have gained extensive interest in cloud computing. …”
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Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

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Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing by Omran Alkaam, Nora, Md Sultan, Abu Bakar, Hussin, Masnida, Yatim Sharif, Khaironi

“…Users can use online data computing services and computational resources from a distance in cloud computing environments. …”
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Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, M. N. M., Kahar

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Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism by Azuan Ahmad, Norbik Bashah Idris, Mohd Nazri Kama

“…Cloud Computing Security is a new era of computer technology and opens a new research area and creates a lot of opportunity of exploration. …”

Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions by Akhlaqi, Mohammad Yahya, Mohd Hanapi, Zurina

“…Many enterprise companies migrate their services and applications to the cloud to benefit from cloud computing advantages. …”
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Cloud computing load balancing technique with virtual machine migration / Rabiatul Addawiyah Mat Razali by Mat Razali, Rabiatul Addawiyah

“…Minimal power consumption throughout the cloud platform will definitely lead to an efficient green cloud computing system.…”
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Modeling and Simulation of Emergency Evacuation from Industry Buildings under Toxic Cloud Release by Benseghir, Hocine, Mohd Fadzil, Mohd Idris, Abdullah, Ibrahim, Kabir, M. Nomani

“…We integrated A* search algorithm with the toxic cloud model to find the safest routes for occupants to exit through the doors from the current positions of the occupants. …”
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Harnessing reinforcement learning in fog-cloud computing: challenges, insights, and future directions by Al-Hashimi, Mustafa, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

“…Reinforcement Learning (RL) is a powerful tool to tackle these challenges due to its ability to learn and adjust from interactions. This article explores the different RL algorithms, emphasizing their distinct strengths, weaknesses, and practical implications in fog-cloud environments. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

“…The problem is even more complex using virtualized clusters in a cloud computing to execute a large number of tasks. …”
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Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization by Nor Azmi, Siti Nur Lyana Karmila, Anwar Apandi, Nur Ilyana, Rafique, Majid, Muhammad, Nor Aishah

“…IECACO incorporates a novel path retrieval mechanism and edge cloud computing infrastructure to minimize redundant path computation and improve convergence efficiency. …”
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Machine learning and deep learning approaches for detecting DDoS attacks in cloud environments by Khan, Muhammad Asif, Mohd Faizal, Ab Razak, Zafril Rizal, M. Azmi, Ahmad Firdaus, Zainal Abidin, Nuhu, Abdul Hafeez, Hussain, Syed Shuja

“…Distributed Denial of Service (DDoS) attacks pose a significant threat to cloud computing environments, necessitating advanced detection methods. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis by Nur Hidayah, Azmidi, Noryanti, Muhammad, Rozieana, Khairuddin

“…The findings also highlighted the diversity of applications in this field such as artificial intelligence and cloud computing, underscoring the relevancy of hybrid metaheuristics. …”
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Scheduling strategy of a cloud-based virtual energy storage system (VESS) for achieving energy saving by Lau, Sim Yee

“…This is due to the fact that when the air conditioner toggles one degree higher or lower, it behaves like the charging and discharging of an ESS since the energy consumed will be increased or decreased. The research explores a review of the literature on limitation of ESS, concepts of VESS, role of cloud computing and IoT in VESS as well as the control strategy algorithm. …”
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Implementing server-side federated learning in an edge-cloud framework for precision aquaculture by Ng, Bryan Jing Hong

“…Precision aquaculture involves the use of smart technologies such as sensors, cloud computing, and artificial intelligence to monitor and manage fish farming environments. …”
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RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment by Ariffin, Ahmad Alauddin, Belhaouari, Samir Brahim, Raissouli, Hafsa

“…The explosion of the IoT and the immense increase in the number of devices around the world, as well as the desire to meet the quality of service in the best way possible, have challenged cloud computing. Fog computing has been introduced to reduce the distance between the IoT and the cloud and to process time-sensitive tasks in an efficient and speedy manner. …”
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Deep reinforcement learning based resource allocation strategy in cloud-edge computing system by Ahmed Adhoni, Zameer, Habelalmateen, Mohammed, DR Janardhana, DR Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman

“…A lot of real time processing as well as resourceintensive apps is what is needed more and thus, cloud-edge computing systems require compelling resource allocation schemes. …”
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Deep reinforcement learning based resource allocation strategy in cloud-edge computing system by Ahmed Adhoni, Zameer, Habelalmateen, Mohammed I, D R, Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman

“…A lot of real time processing as well as resourceintensive apps is what is needed more and thus, cloud-edge computing systems require compelling resource allocation schemes. …”
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A Survey on Information-Centric Networking with Cloud Internet of Things and Artificial Intelligence by Farhan Ahmed Karim, Azana Hafizah Mohd Aman, Rosilah Hassan, Kashif Nisar

“…As data rates rise and the Internet becomes a requirement for any technology, we require IoT settings in which data can be cached locally, which is possible when ICN collaborates with cloud or edge computing. To make this arrangement more intelligent, we require AI, and machine learning algorithms can help to overcome many obstacles. …”
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Multi-objective scheduling of MapReduce jobs in big data processing by Hashem, Ibrahim Abaker Targio, Anuar, Nor Badrul, Marjani, Mohsen, Gani, Abdullah, Sangaiah, Arun Kumar, Sakariyah, Adewole Kayode

“…This problem can become increasingly complex when virtualized clusters in cloud computing are used to execute a large number of tasks. …”
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