Purpose
The study aims to focus on the present automation status of the college libraries with an objective to offer enhanced Web-based library service on an affordable virtualization on cloud computing model.
Design/methodology/approach
With Infrastructure as a Service (Infrastructure as a Service) delivery model, this study demonstrates how libraries of colleges/smaller institutes could be connected to cloud Library Management System infrastructure through internet or dedicated point-to-point WAN connectivity. The Software as a Service (SaaS) delivery model depicts how college libraries could form library consortium at its own private cloud environment with installation of the required LMS application, database, middleware and other prerequisites.
Findings
A cloud-based consortium approach for the college libraries will reduce the cost of purchasing hardware equipment and setting up of infrastructural facilities; relieve libraries of involving additional IT skilled manpower; foster collaborative approach with shared environment and minimise duplication in resource subscription.
Originality/value
To the best of the authors’ knowledge, the present study is the first of its kind in the light of shifting of infrastructure, software and hardware requirements of smaller libraries for cooperative sharing in both IaaS and SaaS cloud platform. The study delineates step by step how college libraries could effectively leverage the cooperative cloud architecture for enhanced library services to reach wider user community.
A channel assignment scheme for multi-radio WMNs (Wireless Mesh Networks) to provide high-throughput paths especially for the highly loaded node with the best connectivity to the gateway(e.g. in terms of highest rate, lowest interference or both) is provided in this paper. We observed the flows on the links and data packets at each wireless access point in an existing wireless mesh backbone from logs files of traffic flows generated at gateway level. After observing, we estimate the traffic load for each network link using load estimation algorithm. We provide the links having maximum load to minimum interference channel i.e. non-interference channel based on IEEE 802.11. The performance evaluation shows that by using the proposed channel assignment, the network performance is improved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.