A Novel Predictive Resource Allocation Framework for Cloud Computing


Cloud computing is a new paradigm in which computing is offered as services rather than physical products. Computing services are provided by third-party service providers which offer consumers affordable and flexible computing services via shared resources. Cloud providers offer different layers/levels of services to consumers over many types of application domains. Server consolidation is a technique for reducing operating costs of computer resources in virtualization. These expenses can lead to increasement of financial costs of servers, power consumption of servers, data-center cooling systems and labour costs. It is inefficient if there are under-utilized servers that have more space and consume more resources. The proposed method meets the requirements for effective resource allocation for cloud computing. The effectiveness of the proposed method is evaluated and reveals higher performance in cloud computing.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL