Bobolang

Abstract

At present time, the programmers may choose from a number of streaming languages. They cover various aspects of the development process of streaming applications; however, specification of complex or runtime-dependent parts of the applications still remains a great challenge. We have analysed a large amount of requirements raised by the development of multiple data streaming parallel applications and proposed a novel language called Bobolang. It contains syntactic and semantic features which allow the programmer to naturally solve most of the problems, which we met in the design of streaming applications. The language is used to specify the structure of the whole application as well as the inner structure of each operator. Thanks to the properties of the language, Bobolang can create an optimized evaluation plan which is capable of making the best use of the available hardware resources. The language has been employed in several practical problems and it has proven itself to be a very powerful tool for the development of data-intensive parallel applications.

A characterization of workflow management systems for extreme-scale applications

“…• Bobolang [58] is a relatively new workflow system based on data streaming. It provides linguistic forms based on C++ and focuses on automatic parallelization.…”

dispel4py: A Python framework for data-intensive scientific computing

“…Bobolang, a relative new workflow system based on data streaming, has linguistic forms based on C++ and focuses on automatic parallelisation (Falt et al, 2014). It also supports multiple inputs and outputs, meaning that a single node can have as many inputs or outputs as a user requires.…”