Fault Tolerance Optimization in Load Balancing using Multiple APIs in distributed Cloud environment

Kunkulagunta Sanghameswar, Balavignesh (2024) Fault Tolerance Optimization in Load Balancing using Multiple APIs in distributed Cloud environment. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing has a significant focus on providing fault tolerance to the systems by implementing strategies and mechanisms to cover the failure of any of the components. This is especially important in cloud environments because distributed infrastructures often contain single point of failure (SPOF). Measures like load balancing, redundancy, failover management, error control, and traffic redirection are used to partition required loads, multiple services in various locations, and restart traffic to other frames when a failure happens. With these methods, it is possible to ensure high availability, reliability as well as an optimal level of applications and service’s performance in the clouds, thus keeping the rate of outages and similarly service unavailability at the level as low as possible. This paper focuses on fault tolerance in cloud environments with reference to multiple APIs to improve system reliability of high availability. This research establishes a distributed environment in different cloud platforms, which uses multiple APIs to balance the workload and handle failure conditions. The findings show that the use of geographically dispersed API endpoints, round-robin load balancing, and fault tolerance mechanisms enhance the system availability and reliability in managing the API failure without causing any interruption to the service. This helps in the case of application which require high availability such as in the case of financial and e-commerce activities.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mijumbi, Rashid UNSPECIFIED
Uncontrolled Keywords:	Fault tolerance; Multiple API; Cloud Environment; Single point of failure; Optimization
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	03 Jul 2025 13:30
Last Modified:	03 Jul 2025 13:30
URI:	https://norma.ncirl.ie/id/eprint/8032

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