A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing

Gabhane, Jyotsna P.; Pathak, Sunil; Thakare, Nita

doi:10.1007/s11334-022-00508-9

Cited by 11 publications

(3 citation statements)

References 32 publications

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“…Nature-inspired algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), etc., are a class of optimisation algorithms that draw on phenomena of nature, such as biological evolution, flight of birds, ant colony ant colony foraging, etc [13][14]. These algorithms usually mimic certain processes in nature to solve optimisation problems, and are particularly good at dealing with large-scale and complex search space problems.…”

Section: Related Workmentioning

confidence: 99%

Multi-Track Music Generation Based on the AC Algorithm and Global Value Return Network

Guo

2024

IJACSA

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In the current field of deep learning and music information retrieval, automated music generation has become a hot research topic. This study addresses the issues of low clarity and musicality in current multi-track music generation by combining the Actor-Critic algorithm and the Global Value Return Network to create a novel multi-track music generation model. The study first utilizes the Actor-Critic algorithm to generate single-track music rhythm and melody models. Building upon this foundation, the study further optimizes the single-track models using the Global Value Return Network and proposes the multi-track music model. The results demonstrate that the harmonization accuracy of the final multi-track music generation model ranges from 0.90 to 0.98, with a maximum value of 0.98. Additionally, the audience satisfaction and expert satisfaction of the model are 0.96 and 0.97, respectively, indicating that the model has a high musical appreciation value. Overall, the multi-track music generation model designed in this study addresses the limitations of single-track music generation and produces more rhythmically diverse multi-track music.

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Section: Related Workmentioning

confidence: 99%

Multi-Track Music Generation Based on the AC Algorithm and Global Value Return Network

Guo

2024

IJACSA

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“…Prabhakara et al [184] provided a procedure relying on a hybrid support and load balancing framework that optimizes the utilization of VMs with comparable load distributions. Gabhane et al [185] combined ACO with the Tabu search method to create an innovative hybrid solution. Swarm and Kubernetes are also introduced to disperse tasks across numerous data centers while keeping in mind that no hubs should be overloaded with the incoming requests [186].…”

Section: Metaheuristic Based Dynamic Load Balancing Algorithms For Cl...mentioning

confidence: 99%

Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms

Syed,

Muhammad,

Rizvi

2024

IASC

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Cloud Computing has the ability to provide on-demand access to a shared resource pool. It has completely changed the way businesses are managed, implement applications, and provide services. The rise in popularity has led to a significant increase in the user demand for services. However, in cloud environments efficient load balancing is essential to ensure optimal performance and resource utilization. This systematic review targets a detailed description of load balancing techniques including static and dynamic load balancing algorithms. Specifically, metaheuristic-based dynamic load balancing algorithms are identified as the optimal solution in case of increased traffic. In a cloud-based context, this paper describes load balancing measurements, including the benefits and drawbacks associated with the selected load balancing techniques. It also summarizes the algorithms based on implementation, time complexity, adaptability, associated issue(s), and targeted QoS parameters. Additionally, the analysis evaluates the tools and instruments utilized in each investigated study. Moreover, comparative analysis among static, traditional dynamic and metaheuristic algorithms based on response time by using the CloudSim simulation tool is also performed. Finally, the key open problems and potential directions for the state-of-the-art metaheuristic-based approaches are also addressed.

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“…Comparative experiments show that the proposed algorithm has a better route and shorter running time than the ant colony algorithm. Gabhane, J.P [ 14 ] presents a hybrid algorithm with the ant colony algorithm and the taboo search algorithm (TS) to design a novel algorithm (ACOTS) to solve the scheduling problem of cloud user workloads. The proposed algorithm saves 30% of time costs compared with the genetic algorithm, Particle Swarm Algorithm, ant colony algorithm, and Tabu Search Algorithm.…”

Section: Introductionmentioning

confidence: 99%

Application of Hybrid Swarming Algorithm on a UAV Regional Logistics Distribution

Hongda

2023

Biomimetics

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This paper proposes a hybrid algorithm based on the ant colony and Physarum Polycephalum algorithms. The positive feedback mechanism is used to find the globally optimal path. The crossover and mutation operations of the genetic algorithm are introduced into the path search mechanism for the first time. The Van der Waals force is applied to the pheromone updating mechanism. Simulation results show that the improved algorithm has advantages in quality and speed of solution compared with other mainstream algorithms. This paper provides fast and accurate route methods for solving the Traveling Salesman Problem first and a delivery scheme is also presented for UAVs to realize “contactless delivery” to users in the Changchun Mingzhu District during the COVID-19 epidemic, which confirms the practicability and robustness of the algorithm.

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A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing

Cited by 11 publications

References 32 publications

Multi-Track Music Generation Based on the AC Algorithm and Global Value Return Network

Multi-Track Music Generation Based on the AC Algorithm and Global Value Return Network

Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms

Application of Hybrid Swarming Algorithm on a UAV Regional Logistics Distribution

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