[HTML][HTML] Security and privacy concerns in cloud-based scientific and business workflows: A systematic review
Today, the number of data-intensive and compute-intensive applications like business and
scientific workflows has dramatically increased, which made cloud computing more popular …
scientific workflows has dramatically increased, which made cloud computing more popular …
Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing
Cloud Computing, the efficiency of task scheduling is proportional to the effectiveness of
users. The improved scheduling efficiency algorithm (also known as the improved Wild …
users. The improved scheduling efficiency algorithm (also known as the improved Wild …
A review on energy-aware scheduling techniques for workflows in IaaS clouds
Cloud computing has emerged as the preeminent computing platform for multiple
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …
An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine
J Aswini, B Yamini, R Jatothu… - Concurrency and …, 2022 - Wiley Online Library
Cloud computing is the on‐demand access to computer resources such as applications,
servers, data storage, development tools, networking capabilities, and other resources that …
servers, data storage, development tools, networking capabilities, and other resources that …
Genetic programming for dynamic workflow scheduling in fog computing
D ynamic W orkflow S cheduling in F og C omputing (DWSFC) is an important optimisation
problem with many real-world applications. The current workflow scheduling problems only …
problem with many real-world applications. The current workflow scheduling problems only …
A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques
Virtual machine (VM) integration methods have effectively proven an optimized load
balancing in cloud data centers. The main challenge with VM integration methods is the …
balancing in cloud data centers. The main challenge with VM integration methods is the …
Energy-aware workflow task scheduling in clouds with virtual machine consolidation using discrete water wave optimization
The scientific workflows are high-level complex applications that demand more computing
power. The cloud data center (CDC) remains one of the essential models of economic …
power. The cloud data center (CDC) remains one of the essential models of economic …
[HTML][HTML] Energy-efficient virtual-machine mapping algorithm (EViMA) for workflow tasks with deadlines in a cloud environment
Processing large scientific applications generates a huge amount of data, which makes
running experiments in the cloud computing environment very expensive and energy …
running experiments in the cloud computing environment very expensive and energy …
Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review
H Hou, SNA Jawaddi, A Ismail - Future Generation Computer Systems, 2023 - Elsevier
The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
Reliability, rental-cost and energy-aware multi-workflow scheduling on multi-cloud systems
A Taghinezhad-Niar, J Taheri - IEEE Transactions on Cloud …, 2022 - ieeexplore.ieee.org
Computationally intensive applications with a wide range of requirements are advancing to
cloud computing platforms. However, with the growing demands from users, cloud providers …
cloud computing platforms. However, with the growing demands from users, cloud providers …