Cloud computing is an emerging computing paradigm aimed at running services over the
internet to provide scalability and flexibility. The advantages in using the cloud for start‐up and
small businesses that lack infrastructure have been shown to far outweigh the disadvantages. Cloud
platform services, also known as Platform as a Service (PaaS), provide a computing platform or
solution stack on which software can be developed for later deployment in a cloud. However, there
are a number of security challenges because users of the cloud have to rely on third party
companies to provide confidentiality, integrity and availability. Geoprocessing is the manipulation
of geographic information, ranging from simple feature overlays and geocoding to raster processing
and advanced climate modelling. The Open Geospatial Consortium’s (OGC) Web Processing Service
(WPS) defines a standardized interface that facilitates the publishing of geospatial processes.
Parallelization and distribution of geoprocessing services have received much attention lately,
including running them in a cloud. However, work on the security aspects of geoprocessing in a
cloud is limited. In this paper, we anaylse security mechanisms and Service Level Agreements (SLA)
of PaaS clouds and present results of experiments run in the PaaS clouds. The implications of these
results for the development of geoprocessing services in a PaaS cloud are discussed. Finally,
recommendations for future work are presented.
Sewdass, Nisha(University of Pretoria, 2009-10-08)
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