FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling
Preethika Kasu, Taeuk Kim, Youngjae Kim, Jung-Ho Um, Kyongseok Park,, Scott Atchley

TL;DR
This paper enhances the LADS data transfer system by introducing fault-tolerant object-based logging mechanisms that significantly reduce re-transmission and recovery overheads in high-speed network environments.
Contribution
It proposes novel object-based fault tolerance methods for LADS, improving data transfer reliability with minimal overhead and efficient recovery strategies.
Findings
Overhead of less than 1% in data transfer time
Recovery time overhead around 10% of total transfer time
Effective fault tolerance with minimal performance impact
Abstract
Layout-Aware Data Scheduler (LADS) data transfer tool, identifies and addresses the issues that lead to congestion on the path of an end-to-end data transfer in the terabit network environments. It exploits the underlying storage layout at each endpoint to maximize throughput without negatively impacting the performance of shared storage resources for other users. LADS can avoid congested storage elements within the shared storage resource, improving input/output bandwidth, and hence the data transfer rates across the high speed networks. However, absence of FT (fault tolerance) support in LADS results in data re-transmission overhead along with the possible integrity issues upon errors. In this paper, we propose object based logging methods to avoid transmitting the objects which are successfully written to Parallel File System (PFS) at the sink end. Depending on the number of logger…
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