Abstract
Abstract Cloud environment is mainly used to store and analyze large volumes of data .The major benefits of hosting the applications using cloud environment are storing large volume of data and performing live data analytics. Cloud systems have switches, which serves as an interface connecting and sharing the data with each other. Network bandwidth congestion is caused when large volumes of data are moved to node or cluster in the cloud environment which in- turn creates Service Level Agreement (SLA) violation for the cloud application service. The result of SLA violation includes impact on working of the entire cloud service .The proposed Network Bandwidth Congestion Prediction framework (NBCPF) predicts the bandwidth congestion using weighted random early detection, to avoids the SLA violation for applications services. NBCPF arrests the bandwidth congestion in cloud environment by prediction of switches in cloud environment resulting in accurately identifying the exact task involved in creation of jobs or services.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
