DYNAMIC RESOURCE ALLOCATION TECHNIQUES FOR OPTIMIZING COST AND PERFORMANCE IN MULTI-CLOUD ENVIRONMENTS
Keywords:
Multi-Cloud Environments, Dynamic Resource Allocation Techniques, Optimization, Cost Savings, Scalability, Flexibility, Resource Management, Performance, Demand-based Allocation, Usage Patterns, Automatic Allocation, Deallocation, Reliability, Agility, IT InfrastructureAbstract
Multi-Cloud Environments are increasingly becoming the norm in modern IT infrastructure, offering numerous benefits such as flexibility, scalability, and cost savings. However, managing these complex environments can be challenging, particularly when it comes to resource allocation and optimization. Dynamic Resource Allocation Techniques are critical for optimizing cost and performance in multi-cloud environments. These techniques involve the automatic allocation and deallocation of resources based on demand, usage patterns, and cost. This abstract explores the key concepts, challenges, and best practices for implementing dynamic resource allocation techniques in multi-cloud environments. By leveraging these techniques, organizations can achieve optimal cost and performance, while ensuring reliability, scalability, and agility in their multi-cloud environments.
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