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We present Dithen, a novel computation-as-a-service (CaaS) cloud platformspecifically tailored to the parallel execution of large-scale multimediatasks. Dithen handles the upload/download of both multimedia data andexecutable items, the assignment of compute units to multimedia workloads, andthe reactive control of the available compute units to minimize the cloudinfrastructure cost under deadline-abiding execution. Dithen combines three keyproperties: (i) the reactive assignment of individual multimedia tasks toavailable computing units according to availability and predeterminedtime-to-completion constraints; (ii) optimal resource estimation based onKalman-filter estimates; (iii) the use of additive increase multiplicativedecrease (AIMD) algorithms (famous for being the resource management in thetransport control protocol) for the control of the number of units servicingworkloads. The deployment of Dithen over Amazon EC2 spot instances is shown tobe capable of processing more than 80,000 video transcoding, face detection andimage processing tasks (equivalent to the processing of more than 116 GB ofcompressed data) for less than $1 in billing cost from EC2. Moreover, theproposed AIMD-based control mechanism, in conjunction with the Kalmanestimates, is shown to provide for more than 27% reduction in EC2 spot instancecost against methods based on reactive resource estimation. Finally, Dithen isshown to offer a 38% to 500% reduction of the billing cost against the currentstate-of-the-art in CaaS platforms on Amazon EC2 (Amazon Lambda and AmazonAutoscale). A baseline version of Dithen is currently available athttp://www.dithen.com under the "AutoScale" option.

Dithen: A Computation-as-a-Service Cloud Platform For Large-Scale Multimedia Processing