{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:LVWEX3LAZOXKOQBFE2AYMZKS2J","short_pith_number":"pith:LVWEX3LA","schema_version":"1.0","canonical_sha256":"5d6c4bed60cbaea740252681866552d27c19dc505b6c4d5e67be3d6c452bb206","source":{"kind":"arxiv","id":"1906.11321","version":1},"attestation_state":"computed","paper":{"title":"HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Christian G\\\"ottel, Isabelly Rocha, Marcelo Pasin, Pascal Felber, Romain Rouvoy, Valerio Schiavoni","submitted_at":"2019-06-26T19:59:57Z","abstract_excerpt":"Cloud providers usually offer diverse types of hardware for their users. Customers exploit this option to deploy cloud instances featuring GPUs, FPGAs, architectures other than x86 (e.g., ARM, IBM Power8), or featuring certain specific extensions (e.g, Intel SGX). We consider in this work the instances used by customers to deploy containers, nowadays the de facto standard for micro-services, or to execute computing tasks. In doing so, the underlying container orchestrator (e.g., Kubernetes) should be designed so as to take into account and exploit this hardware diversity. In addition, besides "},"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":"1906.11321","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2019-06-26T19:59:57Z","cross_cats_sorted":[],"title_canon_sha256":"be9e4d83a10284907c9cfa53e993db4c8b5b741eb0468a15a1985cd00dbba0eb","abstract_canon_sha256":"0b34af6353b6593991f72a3cff7df5c102a47c69f01bd8e9e64d3276b9f96991"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:07.532709Z","signature_b64":"KzfgZ1sxzys5pS/qauFokONCBuD10kWUyxevET0pOWLesD2Q8mPpwaZAn21tMO7ya3/7yx+fuG7LEBYsf47YDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d6c4bed60cbaea740252681866552d27c19dc505b6c4d5e67be3d6c452bb206","last_reissued_at":"2026-05-17T23:42:07.532159Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:07.532159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Christian G\\\"ottel, Isabelly Rocha, Marcelo Pasin, Pascal Felber, Romain Rouvoy, Valerio Schiavoni","submitted_at":"2019-06-26T19:59:57Z","abstract_excerpt":"Cloud providers usually offer diverse types of hardware for their users. Customers exploit this option to deploy cloud instances featuring GPUs, FPGAs, architectures other than x86 (e.g., ARM, IBM Power8), or featuring certain specific extensions (e.g, Intel SGX). We consider in this work the instances used by customers to deploy containers, nowadays the de facto standard for micro-services, or to execute computing tasks. In doing so, the underlying container orchestrator (e.g., Kubernetes) should be designed so as to take into account and exploit this hardware diversity. In addition, besides "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11321","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":"1906.11321","created_at":"2026-05-17T23:42:07.532248+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.11321v1","created_at":"2026-05-17T23:42:07.532248+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11321","created_at":"2026-05-17T23:42:07.532248+00:00"},{"alias_kind":"pith_short_12","alias_value":"LVWEX3LAZOXK","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"LVWEX3LAZOXKOQBF","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"LVWEX3LA","created_at":"2026-05-18T12:33:21.387695+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/LVWEX3LAZOXKOQBFE2AYMZKS2J","json":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J.json","graph_json":"https://pith.science/api/pith-number/LVWEX3LAZOXKOQBFE2AYMZKS2J/graph.json","events_json":"https://pith.science/api/pith-number/LVWEX3LAZOXKOQBFE2AYMZKS2J/events.json","paper":"https://pith.science/paper/LVWEX3LA"},"agent_actions":{"view_html":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J","download_json":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J.json","view_paper":"https://pith.science/paper/LVWEX3LA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.11321&json=true","fetch_graph":"https://pith.science/api/pith-number/LVWEX3LAZOXKOQBFE2AYMZKS2J/graph.json","fetch_events":"https://pith.science/api/pith-number/LVWEX3LAZOXKOQBFE2AYMZKS2J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J/action/storage_attestation","attest_author":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J/action/author_attestation","sign_citation":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J/action/citation_signature","submit_replication":"https://pith.science/pith/LVWEX3LAZOXKOQBFE2AYMZKS2J/action/replication_record"}},"created_at":"2026-05-17T23:42:07.532248+00:00","updated_at":"2026-05-17T23:42:07.532248+00:00"}