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Load balancing in cloud computing–A hierarchical taxonomical classification
Load unbalancing problem is a multi-variant, multi-constraint problem that degrades
performance and efficiency of computing resources. Load balancing techniques cater the …
performance and efficiency of computing resources. Load balancing techniques cater the …
Load balancing in cloud computing environment using the Grey wolf optimization algorithm based on the reliability: performance evaluation
SS Sefati, M Mousavinasab… - The Journal of …, 2022 - Springer
The introduction of cloud computing has brought about significant developments in
information technology. Users can benefit from the multitude of cloud technology services …
information technology. Users can benefit from the multitude of cloud technology services …
A fair, dynamic load balanced task distribution strategy for heterogeneous cloud platforms based on Markov process modeling
Load balancing techniques in cloud computing can be applied at three different levels:
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
A comprehensive study of load balancing approaches in the cloud computing environment and a novel fault tolerance approach
The past few years have witnessed the emergence of a novel paradigm called cloud
computing. CC aims to provide computation and resources over the internet via dynamic …
computing. CC aims to provide computation and resources over the internet via dynamic …
[HTML][HTML] Nature-inspired metaheuristic scheduling algorithms in cloud: A systematic review
Complex huge-scale scientific applications are simplified by workflow to execute in the cloud
environment. The cloud is an emerging concept that effectively executes workflows, but it …
environment. The cloud is an emerging concept that effectively executes workflows, but it …
A hybrid model for load balancing in cloud using file type formatting
Maintaining accuracy in load balancing using metaheuristics is a difficult task even with the
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …
Modeling an optimized approach for load balancing in cloud
Despite significant infrastructure improvements, cloud computing still faces numerous
challenges in terms of load balancing. Several techniques have been applied in the …
challenges in terms of load balancing. Several techniques have been applied in the …
An efficient and accurate nonintrusive load monitoring scheme for power consumption
Nonintrusive load monitoring (NILM) has attracted tremendous attention owing to its cost
efficiency in electricity and sustainable development. NILM aims at acquiring individual …
efficiency in electricity and sustainable development. NILM aims at acquiring individual …
Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic
A flexible manufacturing system (FMS) is the model used for the system produced in the
manufacturing industry, and it consists of the number of interconnected workstation …
manufacturing industry, and it consists of the number of interconnected workstation …
Query optimization mechanisms in the cloud environments: A systematic study
The goal of a query optimizer is to provide an optimal Query Execution Plan (QEP) by
comparing alternative query plans. In a distributed database system over cloud environment …
comparing alternative query plans. In a distributed database system over cloud environment …