Abstract
Cloud computing is a recent buzzword in the field of information technology (IT) that has changed the way of computing from personal computing to virtual computing done with the help of cloud service providers via the Internet. It is evolved from distributed computing included with some other technologies such as virtualization, utility computing, service-oriented architecture, and data center automation. It is based upon the concept of computing delivered as a utility encapsulated with various other characteristics such as elasticity, scalability, on-demand access, and some other prominent features. To keep these properties intact during high demand for services, the load must be balanced among the available resources in the cloud environment. This load can be of various types such as CPU load, network load, memory load, etc., and balanced by executing a load balancing mechanism after detecting the overloaded and underloaded nodes. To achieve this researchers design different types of load-balancing algorithms for optimizing different performance parameters. The paper deals with a broad perspective of various load-balancing approaches done in the field by assuming the different performance metrics. The authors discuss that these approaches are multi-objective and there should be a good trade-off among these metrics to improve the performance.
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Sharma, M., Kumar, R., Jain, A. (2021). Load Balancing in Cloud Computing Environment: A Broad Perspective. In: Hemanth, J., Bestak, R., Chen, J.IZ. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 57. Springer, Singapore. https://doi.org/10.1007/978-981-15-9509-7_44
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DOI: https://doi.org/10.1007/978-981-15-9509-7_44
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