Deploying a fault-tolerant computing middleware over Grid'5000: performance analysis of CONFIIT and its integration with a quantum molecular docking application

P2P computing middlewares are interesting options for grid computing applications that require scalability and resiliency. Nevertheless, most P2P computation systems rely on partially centralized or hybrid decentralized architectures to distribute tasks and collect the results, raising fault tolerance and bottleneck issues. CONFIIT (Computation Over Network with Finite number of Independent and Irregular Tasks) is a purely decentralized middleware for grid computing, relying on a virtual ring for topology management and for task scheduling. Firstly this paper evaluates the impact of node placement and task granularity on the performance of CONFIIT while solving the well-known Langford permutation problem. Secondly, an application of CONFIIT on a complex real life problem is presented.