A Framework to Enhance Quality of Service for Content Delivery Network Using Web Services: A Review
Content Delivery Networks (CDNs) is anticipated to provide better performance delivery of content in internet through worldwide coverage, which would be a fence for new content delivery network providers. The appearance of Web as a omnipresent media for sharing content and services has led to the rapid growth of the Internet. At the same time, the number of users accessing Web-based content and services are growing exponentially. This has placed a heavy demand on Internet bandwidth and Web systems hosting content and application services. As a result, many Web sites are unable to manage this demand and offer their services in a timely manner. Content Delivery Networks (CDNs) have emerged to overcome these limitations by offering infrastructure and mechanisms to deliver content and services in a scalable manner, and enhancing users Web experience. The planned research provides a framework designed to enhance QoS of Web service processes for real time servicing. QoS parameters of various domains can be combined to provide differentiated services, and allocating dynamically available resources in the midst of customers while delivering high-quality real time multimedia content. While accessing the service by a customer, it is possible to adapt real time streams to vastly changeable network conditions to give suitable quality in spite of factors upsetting Quality of service. To reach these intentions, adaptive web service processes to supply more information for determining the quality and size of the delivered object. The framework includes a section for QoS monitoring and adaptation and QoS faults prediction possibility and convalesce actions in case of failure. The aim of this research is to encourage research about quality of composite services in service-oriented architectures with security measures.
Keywords: Content Delivery, Quality of Service, Web Service, Real Time Service Provisioning.
Download Full-Text
ABOUT THE AUTHORS
K.Manivannan
K.Manivannan received B.E degree in Computer Science and Engineering from the Anna University, Chennai and M.E degree in Computer Science and Engineering from the same University. He is currently working toward the Ph.D degree in Computer Science and Engineering at the Anna University of Technology, Madurai.His current research interests include web services, distributed systems and network architecture.
C.G.Ravichandran
C.G.Ravichandran received B.E degree in Electronics and Communication Engineering from Bharathiyar University in 1988 and M.E degree in Electronics Engineering from Anna University, Chennai in 1991.He received the Ph.D degree in Medical Image Processing from Anna University, Chennai in 2009.Currently he is a Principal of RVS College of Engineering and Technology Dindigul,Tamilnadu,India. His research interests include image segmentation, medical image processing, network architecture, distributed systems and web services.
K.Manivannan
K.Manivannan received B.E degree in Computer Science and Engineering from the Anna University, Chennai and M.E degree in Computer Science and Engineering from the same University. He is currently working toward the Ph.D degree in Computer Science and Engineering at the Anna University of Technology, Madurai.His current research interests include web services, distributed systems and network architecture.
C.G.Ravichandran
C.G.Ravichandran received B.E degree in Electronics and Communication Engineering from Bharathiyar University in 1988 and M.E degree in Electronics Engineering from Anna University, Chennai in 1991.He received the Ph.D degree in Medical Image Processing from Anna University, Chennai in 2009.Currently he is a Principal of RVS College of Engineering and Technology Dindigul,Tamilnadu,India. His research interests include image segmentation, medical image processing, network architecture, distributed systems and web services.
