Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Sustainable computing across datacenters: A review of enabling models and techniques

M Zakarya, AA Khan, MRC Qazani, H Ali… - Computer Science …, 2024 - Elsevier
The growth rate in big data and internet of things (IoT) is far exceeding the computer
performance rate at which modern processors can compute on the massive amount of data …

Mobility aware and dynamic migration of MEC services for the Internet of Vehicles

I Labriji, F Meneghello, D Cecchinato… - … on Network and …, 2021 - ieeexplore.ieee.org
Vehicles are becoming connected entities, and with the advent of online gaming, on
demand streaming and assisted driving services, are expected to turn into data hubs with …

An AI-enabled lightweight data fusion and load optimization approach for Internet of Things

MA Jan, M Zakarya, M Khan, S Mastorakis… - Future Generation …, 2021 - Elsevier
In the densely populated Internet of Things (IoT) applications, sensing range of the nodes
might overlap frequently. In these applications, the nodes gather highly correlated and …

Energy, performance and cost efficient cloud datacentres: A survey

AA Khan, M Zakarya - Computer Science Review, 2021 - Elsevier
Abstract In major Information Technology (IT) companies such as Google, Rackspace and
Amazon Web Services (AWS), virtualization and containerization technologies are usually …

Beyond private 5G networks: applications, architectures, operator models and technological enablers

M Maman, E Calvanese-Strinati, LN Dinh… - EURASIP Journal on …, 2021 - Springer
Private networks will play a key role in 5G and beyond to enable smart factories with the
required better deployment, operation and flexible usage of available resource and …

Metrics for improving the management of Cloud environments—Load balancing using measures of Quality of Service, Service Level Agreement Violations and energy …

SM Moghaddam, M O'Sullivan, CP Unsworth… - Future Generation …, 2021 - Elsevier
Cloud service providers use load balancing algorithms in order to avoid Service Level
Agreement Violations (SLAVs) and wasted energy consumption due to host over-and under …

Performance modeling for I/O‐intensive applications on virtual machines

T Bhattacharya, X Peng, J Mao, C Zhang… - Concurrency and …, 2022 - Wiley Online Library
Abstract Models for virtual machines running on cloud computing systems. Modeling system
behaviors of clouds is a grand challenge because the resource utilization in VMs is …

FollowMe@ LS: Electricity price and source aware resource management in geographically distributed heterogeneous datacenters

H Ali, M Zakarya, IU Rahman, AA Khan… - Journal of Systems and …, 2021 - Elsevier
With rapid availability of renewable energy sources and growing interest in their use in the
datacenter industry presents opportunities for service providers to reduce their energy …

CoLocateMe: Aggregation-based, energy, performance and cost aware VM placement and consolidation in heterogeneous IaaS clouds

M Zakarya, L Gillam, K Salah, O Rana… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In many production clouds, with the notable exception of Google, aggregation-based VM
placement policies are used to provision datacenter resources energy and performance …