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Efficient algorithm for error optimization and resource prediction to mitigate cost and energy consumption in a cloud environment
As cloud computing continues to grow, the energy consumption of cloud-edge resources
has become a concern, particularly in terms of cost of energy and environmental effects …
has become a concern, particularly in terms of cost of energy and environmental effects …
Digital Twins: A Comprehensive Study on Models, Platforms, Applications and Challenges
Technological innovation has created “digital twins,” which can replicate and synchronize
digital and physical things in (almost) real-time, assess situations from multiple perspectives …
digital and physical things in (almost) real-time, assess situations from multiple perspectives …
[HTML][HTML] A novel fault-tolerant aware task scheduler using deep reinforcement learning in cloud computing
Task scheduling poses a wide variety of challenges in the cloud computing paradigm, as
heterogeneous tasks from a variety of resources come onto cloud platforms. The most …
heterogeneous tasks from a variety of resources come onto cloud platforms. The most …
Communication-aware, energy-efficient VM placement in cloud data center using ant colony optimization
The many advantages of the cloud computing trend are being recognised by an increasing
number of tech-savvy companies and industry leaders utilising this technology to run their …
number of tech-savvy companies and industry leaders utilising this technology to run their …
The IoT resource allocation and scheduling using Elephant Herding Optimization (EHO-RAS) in IoT environment
IoT is one of the most significant technological breakthroughs and promises a higher level of
connection and control in the future. The IoT network continues to expand rapidly, and the …
connection and control in the future. The IoT network continues to expand rapidly, and the …
Optimization model for mass casualty management system using qos-aware routing protocol and casualty triage prediction
Purpose Unexpected events, whether man-made or natural, cause significant distress and
disorder. The number and magnitude of disasters and catastrophes have been rising …
disorder. The number and magnitude of disasters and catastrophes have been rising …
An efficient machine learning based CPU scheduler for heterogeneous multicore processors
While machine learning has excelled in various domains, its impact on computer
architecture has been limited. Despite powerful, flexible multicore CPUs, efficient thread …
architecture has been limited. Despite powerful, flexible multicore CPUs, efficient thread …
A fusion of binary grey wolf optimization algorithm with opposition and weighted positioning for feature selection
Among various feature selection methods proposed in literature, meta-heuristic algorithms
as a wrapper-based method are widely used in feature subset selection problems. The …
as a wrapper-based method are widely used in feature subset selection problems. The …
A heterogeneous multi-core architectural model for video scheduling for transcoding in clouds
A cluster of transcoding servers is essential for transcoding many on-demand videos. Cloud
computing presents a scalable framework for online video transcoding, and the …
computing presents a scalable framework for online video transcoding, and the …
Secure authentication scheme with Archimedes optimization algorithm for load balancing technique in fog computing
In this paper, to develop an efficient secure authentication scheme and load balancing
technique in fog computing. To achieve an efficient secure authentical scheme in addition …
technique in fog computing. To achieve an efficient secure authentical scheme in addition …