Due to their heavy reliance on server infrastructure, the current computation-intensive SaaS suffer from scalability issues compared to the existing data-intensive commercial SaaS. Offloading certain computations to the client browser can resolve these scalability issues but the current Browser APIs are complex to use and integrate in a single software. We propose in this paper four high level APIs that harness existing browser-based paradigms and proven software architectures to reduce the complexity of parallel computing and device-agnostic interactive rendering in the web browser. To allow experimental results, we have developed a proof-of-concept browser-based and interactive diffusion MRI where we have particularly deployed a parallel Diffusion Tensor Estimation. Our platform provides us easy APIs achieving up to 4 times speedup in parallel computation and real-time interactive rendering performances across different Browsers and Devices in comparison to other existing solutions in the Diffusion MRI Community.

Acigna-G is an ongoing research project to develop a new hybrid Grid SaaS architecture. CloudMRI is our proof-of-concept Acigna-G based SaaS Service for the Brain dMRI field. The main objectif of such architecture is to provide local (Browser) and remote (Grid) intensive computational capabilities completly abstracted to the SaaS user. The result is a combination of an in Browser Rendering and Computation engine, interoperable REST-SOAP Grid Services, and interoperable web-grid authentication mechanisms. We believe that such architecture can allow new types of SaaS Services, specifically for the dMRI Brain field.