OPTIMIZING CLOUD COMPUTING ENVIRONMENTS FOR BIG DATA PROCESSING

Abstract

Improving big data processing performance, efficiency, scalability, and cost-effectiveness requires
optimizing cloud computing systems. Ensuring data security, increasing energy efficiency,
successfully managing resources, and preserving system reliability are some of the major
obstacles. For best results, effective resource management strategies like load balancing, autoscaling,
and dynamic resource allocation are crucial. Both vertical and horizontal scaling can be
used to handle scalability; strong data security protocols and energy-efficient procedures are also
essential. System dependability and cost-cutting are also important factors. Maintaining a
streamlined cloud environment requires automation, network optimization, real-time monitoring,
and adherence to compliance and governance standards. By using a comprehensive strategy, we
hope to minimize operating costs and create a robust infrastructure that can manage a wide range
of applications and workloads.