Designing a Resilient Parallel Distributed Task Infrastructure for Large-Scale Data Processing

Mahidhar Mullapudi, Mahesh Babu Munjala, Chinmay Kulkarni

Abstract: This technical paper introduces a sophisticated Parallel Distributed Task Infrastructure (PDTI) meticulously crafted to address the escalating demands of large-scale data processing[1][2] and transformation systems. PDTI orchestrates parallel tasks across distributed nodes, strategically optimizing latency, throughput, and processing power. The infrastructure's core components include a parent task overseeing task distribution, progress tracking, and error management across child tasks, with a paramount focus on resilience and fault tolerance. This paper expounds upon the architectural intricacies and contractual guidelines of PDTI, presenting a holistic solution to efficiently navigate the challenges inherent in processing extensive datasets within distributed computing environments[3][4][5][6].

Keywords: Parallel Distributed Task, Scalable data processing, Resilient Computing, Task Synchronization