Swarm Behavior of Intelligent Cloud
Anirban Kundu, Chunlin Ji

TL;DR
This paper demonstrates how swarm intelligence can be applied to cloud computing environments to improve system performance, flexibility, and robustness through self-organizing server management.
Contribution
It introduces a novel application of swarm intelligence in cloud networks, emphasizing server selection and management in heterogeneous environments.
Findings
Enhanced system performance through swarm-based server selection
Improved flexibility and robustness in cloud network management
Demonstrated self-organization capabilities in cloud infrastructure
Abstract
In this paper, the main aim is to exhibit swarm intelligence power in cloud based scenario. Heterogeneous environment has been configured at server-side network of the whole cloud network. In the proposed system, different types of servers are being used to manage useful assorted atmosphere. Swarm intelligence has been adopted for enhancing the performance of overall system network. Specific location at server-side of the network is going to be selected by the swarm intelligence concept for accessing desired elements. Flexibility, robustness and self-organization, which are to be considered at the time of designing the system environment, are the main features of swarm intelligence.
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Energy Efficient Wireless Sensor Networks · Molecular Communication and Nanonetworks
