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E. J. Domingo, J. T. Nino, A. L. Lemos and J. Miguel Gomez Berbis. “CLOUDIO: A Cloud Computing-Oriented Multi-Tenant Architecture for Business Information Systems,” IEEE 3rd International Conference on Cloud Computing, Miami, 5-10 July 2010, pp. 532-533.

has been cited by the following article:

• TITLE: Cloud Computing as an Innovation in GIS & SDI: Methodologies, Services, Issues and Deployment Techniques

  AUTHORS: Mohammad Naghavi

  KEYWORDS: Cloud Computing; Software as a Service; Platform as a Service; Infrastructure-as-a-Service; Service Oriented Architecture (SOA)

  JOURNAL NAME: Journal of Geographic Information System, Vol.4 No.6, December 31, 2012

  ABSTRACT: Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers, the main characteristics of cloud computing is being dynamic, high power in computing and storage. Also cloud computing is a cost benefit and effective way for representation of web-based spatial data and complex analysis. Furthermore, cloud computing is a way to facilitate distributed computing and store different data. One of the main features of cloud computing is ability in powerful computing and dynamic storage with an affordable expense and secure web. In this paper we further investigate the methodologies, services, issues and deployed techniques also, about situation of cloud computing in the past, present and future is probed and some issues concerning the security is expressed. Undoubtedly cloud computing is vital for spatial data infrastructure and consequently the cloud computing is able to expand the interactions for spatial data infrastructure in the future.