Cloud computing has emerged as one of the preferred platforms for on-demand, event-driven computing. However, literature on event-driven scientific modeling on the cloud is sparse. This paper presents our vision and architecture to provide a “Scientific Modeling as a Service”in an on-demand fashion. We choose one of the most widely used groundwater models, MODFLOW2000, from USGS to develop a Mo...

Message passing interface (MPI) has been widely used for implementing parallel and distributed applications. The emergence of cloud computing offers a scalable, fault-tolerant, on-demand alternative to traditional on-premise clusters. In this thesis, we investigate the possibility of adopting the cloud platform as an alternative to conventional MPI-based solutions. We show that cloud platform c...

GIS vector-based spatial data overlay processing is much more complex than raster data processing. The GIS data files can be huge and their overlay processing is computationally intensive. Meager amount of work has been done on processing large volume of vector geospatial data through parallel/distributed computing, and none has been on cloud platforms. We have created Crayons system, which we ...

Cloud computing is emerging as a promising platform for compute and data intensive scientific applications. Thanks to the on-demand elastic provisioning capabilities, cloud computing has instigated curiosity among researchers from a wide range of disciplines. However, even though many vendors have rolled out their commercial cloud infrastructures, the service offerings are usually only best-eff...

KEMI-TORNIO UNIVERSITY OF APPLIED SCIENCES Degree programme: Business Information Technology Writer: Cristian-Stefan Marin Thesis title: Microsoft Windows Azure cloud application development and security concepts Pages (of which appendices): 82 (5) Date: Thesis instructor: Roger Niska This thesis focuses on the area of cloud computing, an important and relevant research area in computer science...

Cloud-based systems and the datacenter computing environment present a series of challenges to system designers for supporting massively concurrent computation on clusters with commodity hardware. The platform software should abstract the unreliable but highly provisioned hardware to provide a highperformance platform for a diversity of concurrent programs processing potentially very large data...

Synthetic seismograms generated by solving the seismic wave equation using numerical methods are being widely used in seismology. For fully three-dimensional seismic structure models, the generation of these synthetic seismograms may require large amount of computing resources. Conventional high-performance computer clusters may not provide a cost-effective solution to this type of applications...

Microsoft Windows Azure Cloud offers scalable resources to its customers. The price for renting the resources is linear, i.e. the customer pays exactly double price for double resources. However, not always all offered resources of virtual machine instances are most suitable for the customers. Some problems are memory demanding, others are compute intensive or even cache intensive. The same amo...