{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:TOOE2BP4UOGPEACQN4K7NHGQGL","short_pith_number":"pith:TOOE2BP4","schema_version":"1.0","canonical_sha256":"9b9c4d05fca38cf200506f15f69cd032ec5b140af3e7acb02b0ceef85eef6c1f","source":{"kind":"arxiv","id":"2408.00411","version":1},"attestation_state":"computed","paper":{"title":"Low-level I/O Monitoring for Scientific Workflows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Ansgar L\\\"o{\\ss}er, Bj\\\"orn Scheuermann, Florian Schintke, Joel Witzke, Vasilis Bountris","submitted_at":"2024-08-01T09:29:24Z","abstract_excerpt":"While detailed resource usage monitoring is possible on the low-level using proper tools, associating such usage with higher-level abstractions in the application layer that actually cause the resource usage in the first place presents a number of challenges. Suppose a large-scale scientific data analysis workflow is run using a distributed execution environment such as a compute cluster or cloud environment and we want to analyze the I/O behaviour of it to find and alleviate potential bottlenecks. Different tasks of the workflow can be assigned to arbitrary compute nodes and may even share th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2408.00411","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-01T09:29:24Z","cross_cats_sorted":[],"title_canon_sha256":"870ad5390cba79c65eb1f06db8fb16a53200315584e9268a23de1f88bcba0dd7","abstract_canon_sha256":"b20a306588e18ae809428b58cb6687aeba7df5cc810352261fe3d892f89e8399"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:51:03.362775Z","signature_b64":"F6m9ouWc7c++K5QFtSIdSyqoxoWRIK1Agb0Cn3cUu/DHqq9Z0g1Tcp5rS9CTSYXKxYdxUno9hlVpeJwkEPfrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b9c4d05fca38cf200506f15f69cd032ec5b140af3e7acb02b0ceef85eef6c1f","last_reissued_at":"2026-07-05T08:51:03.362356Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:51:03.362356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-level I/O Monitoring for Scientific Workflows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Ansgar L\\\"o{\\ss}er, Bj\\\"orn Scheuermann, Florian Schintke, Joel Witzke, Vasilis Bountris","submitted_at":"2024-08-01T09:29:24Z","abstract_excerpt":"While detailed resource usage monitoring is possible on the low-level using proper tools, associating such usage with higher-level abstractions in the application layer that actually cause the resource usage in the first place presents a number of challenges. Suppose a large-scale scientific data analysis workflow is run using a distributed execution environment such as a compute cluster or cloud environment and we want to analyze the I/O behaviour of it to find and alleviate potential bottlenecks. Different tasks of the workflow can be assigned to arbitrary compute nodes and may even share th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00411","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.00411/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2408.00411","created_at":"2026-07-05T08:51:03.362413+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.00411v1","created_at":"2026-07-05T08:51:03.362413+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00411","created_at":"2026-07-05T08:51:03.362413+00:00"},{"alias_kind":"pith_short_12","alias_value":"TOOE2BP4UOGP","created_at":"2026-07-05T08:51:03.362413+00:00"},{"alias_kind":"pith_short_16","alias_value":"TOOE2BP4UOGPEACQ","created_at":"2026-07-05T08:51:03.362413+00:00"},{"alias_kind":"pith_short_8","alias_value":"TOOE2BP4","created_at":"2026-07-05T08:51:03.362413+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL","json":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL.json","graph_json":"https://pith.science/api/pith-number/TOOE2BP4UOGPEACQN4K7NHGQGL/graph.json","events_json":"https://pith.science/api/pith-number/TOOE2BP4UOGPEACQN4K7NHGQGL/events.json","paper":"https://pith.science/paper/TOOE2BP4"},"agent_actions":{"view_html":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL","download_json":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL.json","view_paper":"https://pith.science/paper/TOOE2BP4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.00411&json=true","fetch_graph":"https://pith.science/api/pith-number/TOOE2BP4UOGPEACQN4K7NHGQGL/graph.json","fetch_events":"https://pith.science/api/pith-number/TOOE2BP4UOGPEACQN4K7NHGQGL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL/action/storage_attestation","attest_author":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL/action/author_attestation","sign_citation":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL/action/citation_signature","submit_replication":"https://pith.science/pith/TOOE2BP4UOGPEACQN4K7NHGQGL/action/replication_record"}},"created_at":"2026-07-05T08:51:03.362413+00:00","updated_at":"2026-07-05T08:51:03.362413+00:00"}