Large-Scale Computation Not at the Cost of Expressiveness

We present Celias, a new concurrent programming model for data-intensive scalable computing. Celias supports many virtues commonly found in existing distributed programming frameworks, such as elastic scaling and fault tolerance, without sacrificing expressiveness. The key design idea of Celias is the concept of a microtask, as a scalable, fault-tolerant, and completely data-driven unit of computation. By combining Tuplespace and microtasks, Celias provides an intuitive yet powerful programming abstraction for large and complex problems.