Towards secure mobile cloud computing: A survey

AN Khan, MLM Kiah, SU Khan, SA Madani - Future generation computer …, 2013 - Elsevier
Mobile cloud computing is gaining popularity among mobile users. The ABI Research
predicts that the number of mobile cloud computing subscribers is expected to grow from …

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques

N Khattar, J Sidhu, J Singh - The Journal of Supercomputing, 2019 - Springer
Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …

Multi-objective energy-efficient workflow scheduling using list-based heuristics

JJ Durillo, V Nae, R Prodan - Future Generation Computer Systems, 2014 - Elsevier
Workflow applications are a popular paradigm used by scientists for modelling applications
to be run on heterogeneous high-performance parallel and distributed computing systems …

Resource allocation of industry 4.0 micro-service applications across serverless fog federation

RF Hussain, MA Salehi - Future Generation Computer Systems, 2024 - Elsevier
The Industry 4.0 revolution has been made possible via AI-based applications (eg, for
automation and maintenance) deployed on the serverless edge (aka fog) computing …

Federated edge computing for disaster management in remote smart oil fields

RF Hussain, MA Salehi, A Kovalenko… - 2019 IEEE 21st …, 2019 - ieeexplore.ieee.org
Oil & Gas (O&G) industry is extending the extraction operation to remote offshore sites. Cost-
effective, efficient, and nature-friendly oil extraction is a challenging issue in these remote …

Energy-aware task scheduling in heterogeneous computing environments

J Mei, K Li, K Li - Cluster Computing, 2014 - Springer
Efficient application scheduling is critical for achieving high performance in heterogeneous
computing (HC) environments. Because of such importance, there are many researches on …

Multi-objective workflow scheduling: An analysis of the energy efficiency and makespan tradeoff

JJ Durillo, V Nae, R Prodan - 2013 13th IEEE/ACM …, 2013 - ieeexplore.ieee.org
While in the past scheduling algorithms were almost exclusively targeted at optimizing
applications' make span, today they must simultaneously optimise several goals. Among …

[HTML][HTML] Heterogeneity and thermal aware adaptive heuristics for energy efficient consolidation of virtual machines in infrastructure clouds

MRV Kumar, S Raghunathan - Journal of Computer and System Sciences, 2016 - Elsevier
Holistic datacenter energy minimization operation should consider interactions between
computing and cooling source specific usage patterns. Decisions like workload type, server …

[图书][B] IoT for smart operations in the oil and gas industry: from upstream to downstream

RF Hussain, A Mokhtari, A Ghalambor, MA Salehi - 2022 - books.google.com
IoT for Smart Operations in the Oil and Gas Industry elaborates on how the synergy between
state-of-the-art computing platforms, such as Internet of Things (IOT), cloud computing …

A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids

F Pinel, B Dorronsoro, JE Pecero, P Bouvry, SU Khan - Cluster computing, 2013 - Springer
The sensitivity analysis of a Cellular Genetic Algorithm (CGA) with local search is used to
design a new and faster heuristic for the problem of mapping independent tasks to a …