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UID:pearc_PEARC19_sess186_pap155@linklings.com
SUMMARY:Integrity Protection for Scientific Workflow Data: Motivation and 
 Initial Experiences
DESCRIPTION:Integrity Protection for Scientific Workflow Data: Motivation 
 and Initial Experiences\n\nRynge, Vahi, Deelman, Mandal, Bhide...\n\nWith 
 the continued rise of scientific computing and the enormous increases in t
 he size of data being processed, scientists must consider whether the proc
 esses for transmitting and storing data sufficiently assure the integrity 
 of the scientific data. When integrity is not preserved, computations can 
 fail and result in increased computational cost due to reruns, or worse, r
 esults can be corrupted in a manner not apparent to the scientist and prod
 uce invalid science results. Technologies such as TCP checksums, encrypted
  transfers, checksum validation, RAID and erasure coding provide integrity
  assurances at different levels, but they may not scale to large data size
 s and may not cover a workflow from end-to-end, leaving gaps in which data
  corruption can occur undetected. In this paper we explore an approach of 
 assuring data integrity - considering either malicious or accidental corru
 ption - for workflow executions orchestrated by the Pegasus Workflow Manag
 ement System. To validate our approach, we introduce Chaos Jungle - a tool
 kit providing an environment for validating integrity verification mechani
 sms by allowing researchers to introduce a variety of integrity errors dur
 ing data transfers and storage. In addition to controlled experiments with
  Chaos Jungle, we provide analysis of integrity errors that we encountered
  when running production workflows.\n\nPaper\nData, Technical Paper, Appli
 cations, Workflows, Phil Andrews Award, Best Paper Applications
URL:https://pearc19.conference-program.com/presentation/?id=pap155&sess=se
 ss186
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