PRICING MODEL FOR CLOUD COMPUTING SERVICES FOR RESEARCH APPLICATIONS
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL, ECONOMICS AND MANAGEMENT
Author(s): INARA OPMANE , RIHARDS BALODIS
Abstract: Institute of Mathematics and Computer Science, University of Latvia continues its enduring development of research e - infrastructure. Currently IMCS UL maintains Scientific Cloud computing facility, provides collocation, hosting and virtualization services. As w ell it operates as a node for online corr elation data streaming services from Irbene radio telescope in real time, HPC resources’ disposal for computing tasks, usage of big data extracted from data storage for modeling and al so for graphic data processing. In this article a uthors represent pricin g policy realized in IMCS UL for cloud computing services. We define the groups of users and prices for services for each user group. Users are split in g r oups as follows: business companies (defined as Service Price List), research institutions (defined a s Service Fee List) and research project partners (defined as Service Coast List). In price list fixed price level can be evaluated with simple cloud computing pricing Model.
- Publication Date: 03-Sep-2017
- DOI: 10.15224/978-1-63248-133-7-50
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ECONOMIC VALUATION OF THE SUNDARBANS RESERVED FOREST OF BANGLADESH: THE ZONAL TRAVEL COST METHOD
Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): RAISA BASHAR
Abstract: Sundarbans Reserved Forest hosts the largest single block of tidal, salt - water mangrove forest on Earth with a diverse collection of flora and fauna, including many endangered ones. It is thus, (and also generally) necessary to find an appropriate estimation of the recreational benefits of this world - renowned region as a tool for the conservation of biodiversity, as well as the devel opm ent of ecotourism, there. This report has been designed to do just that (estimate the recreational value) and to exhibit a relationship between the Sundarbans Reserved Forest (SRF) in Bangladesh and travel cost, using the responses of the visitors to th is region from all over Bangladesh. A zonal approach of the travel cost technique has been u sed here and the sample was 300 visitors of SRF over a period of seven days. The analysis yielded that the total value of the environmental resources of SRF is arou nd 197 million Tk./year. A suggestion has also been made of initiating an entrance fee of 50
- Publication Date: 24-Sep-2017
- DOI: 10.15224/978-1-63248-133-7-51
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