This report provides a comparative analysis of efficient load balance techniques in cloud computing. The research aims to analyze the impact of load balancing on cloud computing and identify efficient methods. The methodology involves a survey approach to collect and interpret data, focusing on the impact of cloud computing on business effectiveness and the analysis of efficient load balance techniques. Quantitative data analysis, including statistical measurements from surveys, polls, and questionnaires, is used to evaluate the impact of efficient load balancing. The report considers professional, legal, and ethical issues related to data privacy, referencing the Data Protection Act 2018 and GDPR 2018. The research is scheduled over 10 weeks, including literature review, quantitative analysis, and conclusion. The goal is to minimize resource consumption and reduce energy consumption, ensuring that no single node gets overloaded, and the report is intended for publication in a research journal.
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