Author Name: Arava Santosh Kumar
Affiliation: Project Management Institute (PMI Chennai India)
Email ID: arava.santosh1@outlook.com
Abstract— The fundamentals of Cloud computing promises the delivery of computing services over the Internet, such as storage, processing, networking and Analytics. It enables users to access scalable, on-demand, and cost-effective resources without investing in physical infrastructure. Cloud computing is a rapidly evolving field that offers many opportunities for research and innovation. Something to learn about some of the most promising research areas in cloud computing, and how it can benefit Artificial Intelligence Practice and Society. Promising areas in cloud computing include security, edge computing, serverless architectures, AI Integration, energy efficiency, quantum computing, distributed systems, blockchain, performance optimization, and hybrid/multi cloud sources. These areas focus on enhancing data protection, optimizing resource utilization, improving reliability, and exploring emerging technologies to meet evolving cloud computing needs.
Edge computing is one of the most promising areas of Cloud computing research; By extending cloud capabilities to the network’s edge, this approach moves computing closer to data sources. Reducing latency and improving real time processing for autonomous systems and Internet applications is the goal. Researchers are finding that investigating the possibilities of edge computing is still a tempting path forward, as we see an increasing demand for decentralized computing and a window into the future of responsive and distributed computing systems.
In cloud research, serverless computing shows promise as an efficient solution. By abstracting the infrastructure layer, this method frees burden of managing servers, so they can concentrate entirely on potential for reduced costs, scalability, and easier implementation. Research in this field focuses on performance optimization, serverless architecture refinement, and extending the range of applications that can make use of this resource efficient methodology. Research optimizations are enthralled by the development of serverless computing since it offers new approaches to simplify and expand cloud services.
Decoupling the application components, allowing asynchronous event-based calls, and having the ability to handle millions of requests while scaling down when not required represent a significantly advanced approach to software management.
Swift Development: This will deploy functions or services independently, facilitating faster development cycles and promising agility.
Automated Scaling: Serverless platforms manage scaling based on demand, automatically adapting resources to match the workload.
Decreased Administrative Burden: Tasks such as patching, updates, and server maintenance are handled by the serverless platform, liberating resources for development.
Event Driven Architecture: Seamless integration with the event driven calls and cutting-edge platforms.
Author Name: Arava Santosh Kumar Affiliation: Project Management Institute (PMI Chennai India)Email ID: arava.santosh1@outlook.comAbstract— The fundamentals of Cloud computing promises the delivery of computing services over the Internet, such as storage, processing, networking and Analytics. It enables users to access scalable, on-demand, and cost-effective resources without investing in physical infrastructure. Cloud computing is a rapidly evolving field that offers many opportunities for research and innovation. Something to learn about some of the most promising research areas in cloud computing, and how it can benefit Artificial Intelligence Practice and Society. Promising areas in cloud computing include security, edge computing, serverless architectures, AI Integration, energy efficiency, quantum computing, distributed systems, blockchain, performance optimization, and hybrid/multi cloud sources. These areas focus on enhancing data protection, optimizing resource utilization, improving reliability, and exploring emerging technologies to meet evolving cloud computing needs.Edge computing is one of the most promising areas of Cloud computing research; By extending cloud capabilities to the network’s edge, this approach moves computing closer to data sources. Reducing latency and improving real time processing for autonomous systems and Internet applications is the goal. Researchers are finding that investigating the possibilities of edge computing is still a tempting path forward, as we see an increasing demand for decentralized computing and a window into the future of responsive and distributed computing systems.In cloud research, serverless computing shows promise as an efficient solution. By abstracting the infrastructure layer, this method frees burden of managing servers, so they can concentrate entirely on potential for reduced costs, scalability, and easier implementation. Research in this field focuses on performance optimization, serverless architecture refinement, and extending the range of applications that can make use of this resource efficient methodology. Research optimizations are enthralled by the development of serverless computing since it offers new approaches to simplify and expand cloud services.Decoupling the application components, allowing asynchronous event-based calls, and having the ability to handle millions of requests while scaling down when not required represent a significantly advanced approach to software management.Swift Development: This will deploy functions or services independently, facilitating faster development cycles and promising agility.Automated Scaling: Serverless platforms manage scaling based on demand, automatically adapting resources to match the workload.Decreased Administrative Burden: Tasks such as patching, updates, and server maintenance are handled by the serverless platform, liberating resources for development.Event Driven Architecture: Seamless integration with the event driven calls and cutting-edge platforms. Read More Technology Blogs by Members articles
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