{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:ZPJXSN5YQIQ7WRTYC2GE4UZXVN","short_pith_number":"pith:ZPJXSN5Y","schema_version":"1.0","canonical_sha256":"cbd37937b88221fb4678168c4e5337ab7f397eeb73346fe9487da9d854c56da9","source":{"kind":"arxiv","id":"1703.08280","version":1},"attestation_state":"computed","paper":{"title":"LRC: Dependency-Aware Cache Management for Data Analytics Clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Jun Zhang, Khaled Ben Letaief, Wei Wang, Yinghao Yu","submitted_at":"2017-03-24T03:31:34Z","abstract_excerpt":"Memory caches are being aggressively used in today's data-parallel systems such as Spark, Tez, and Piccolo. However, prevalent systems employ rather simple cache management policies--notably the Least Recently Used (LRU) policy--that are oblivious to the application semantics of data dependency, expressed as a directed acyclic graph (DAG). Without this knowledge, memory caching can at best be performed by \"guessing\" the future data access patterns based on historical information (e.g., the access recency and/or frequency), which frequently results in inefficient, erroneous caching with low hit"},"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":"1703.08280","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-03-24T03:31:34Z","cross_cats_sorted":[],"title_canon_sha256":"9da948e20aaf23bff616547802f5c320cd70fdbe2ef629e11f75f1bfe0d1bf5e","abstract_canon_sha256":"ef254c035e2f91c68e8de4ce0a1524ab58e78ac5c413e6402237f02454cd1100"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:00.265481Z","signature_b64":"yM+R230AZ0X/FeDEZ79JKaeRws55PTJFFOsT6Kkp4Yk3SDbABWbtSD4paYbWwsrEljuv75DYpQxNpsvZuh9OCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbd37937b88221fb4678168c4e5337ab7f397eeb73346fe9487da9d854c56da9","last_reissued_at":"2026-05-18T00:48:00.264936Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:00.264936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LRC: Dependency-Aware Cache Management for Data Analytics Clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Jun Zhang, Khaled Ben Letaief, Wei Wang, Yinghao Yu","submitted_at":"2017-03-24T03:31:34Z","abstract_excerpt":"Memory caches are being aggressively used in today's data-parallel systems such as Spark, Tez, and Piccolo. However, prevalent systems employ rather simple cache management policies--notably the Least Recently Used (LRU) policy--that are oblivious to the application semantics of data dependency, expressed as a directed acyclic graph (DAG). Without this knowledge, memory caching can at best be performed by \"guessing\" the future data access patterns based on historical information (e.g., the access recency and/or frequency), which frequently results in inefficient, erroneous caching with low hit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.08280","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":""},"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":"1703.08280","created_at":"2026-05-18T00:48:00.265031+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.08280v1","created_at":"2026-05-18T00:48:00.265031+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.08280","created_at":"2026-05-18T00:48:00.265031+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZPJXSN5YQIQ7","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZPJXSN5YQIQ7WRTY","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZPJXSN5Y","created_at":"2026-05-18T12:31:59.375834+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/ZPJXSN5YQIQ7WRTYC2GE4UZXVN","json":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN.json","graph_json":"https://pith.science/api/pith-number/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/graph.json","events_json":"https://pith.science/api/pith-number/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/events.json","paper":"https://pith.science/paper/ZPJXSN5Y"},"agent_actions":{"view_html":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN","download_json":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN.json","view_paper":"https://pith.science/paper/ZPJXSN5Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.08280&json=true","fetch_graph":"https://pith.science/api/pith-number/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/graph.json","fetch_events":"https://pith.science/api/pith-number/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/action/storage_attestation","attest_author":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/action/author_attestation","sign_citation":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/action/citation_signature","submit_replication":"https://pith.science/pith/ZPJXSN5YQIQ7WRTYC2GE4UZXVN/action/replication_record"}},"created_at":"2026-05-18T00:48:00.265031+00:00","updated_at":"2026-05-18T00:48:00.265031+00:00"}