{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:BFN4PYCIAGCRM4F27C2RE2UYO3","short_pith_number":"pith:BFN4PYCI","schema_version":"1.0","canonical_sha256":"095bc7e04801851670baf8b5126a9876d619eb1e012b5b722bf86f7a169d2346","source":{"kind":"arxiv","id":"1608.00406","version":1},"attestation_state":"computed","paper":{"title":"Cloud Benchmarking For Maximising Performance of Scientific Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Adam Barker, Blesson Varghese, Ian Miguel, Long Thai, Ozgur Akgun","submitted_at":"2016-08-01T12:41:28Z","abstract_excerpt":"How can applications be deployed on the cloud to achieve maximum performance? This question is challenging to address with the availability of a wide variety of cloud Virtual Machines (VMs) with different performance capabilities. The research reported in this paper addresses the above question by proposing a six step benchmarking methodology in which a user provides a set of weights that indicate how important memory, local communication, computation and storage related operations are to an application. The user can either provide a set of four abstract weights or eight fine grain weights bas"},"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":"1608.00406","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-08-01T12:41:28Z","cross_cats_sorted":[],"title_canon_sha256":"f5eb9d03b8a1ad342a49886f21bf806b4a7176279ec824d7376917191fadb556","abstract_canon_sha256":"bfc42c97ceaca2d25836cf827b2e758609fe51a37c9de1d7a2ec4480b3bec4fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:56.602764Z","signature_b64":"++APaQZoF8ESYHxAXLcivZBWXjlLl2vXalVEAj9LLBjtH6aIWjk59KUF7h6F1ZjmWMLmBs1zAbQ7pAie6Bs3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"095bc7e04801851670baf8b5126a9876d619eb1e012b5b722bf86f7a169d2346","last_reissued_at":"2026-05-18T00:58:56.601805Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:56.601805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cloud Benchmarking For Maximising Performance of Scientific Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Adam Barker, Blesson Varghese, Ian Miguel, Long Thai, Ozgur Akgun","submitted_at":"2016-08-01T12:41:28Z","abstract_excerpt":"How can applications be deployed on the cloud to achieve maximum performance? This question is challenging to address with the availability of a wide variety of cloud Virtual Machines (VMs) with different performance capabilities. The research reported in this paper addresses the above question by proposing a six step benchmarking methodology in which a user provides a set of weights that indicate how important memory, local communication, computation and storage related operations are to an application. The user can either provide a set of four abstract weights or eight fine grain weights bas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.00406","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":"1608.00406","created_at":"2026-05-18T00:58:56.601911+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.00406v1","created_at":"2026-05-18T00:58:56.601911+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.00406","created_at":"2026-05-18T00:58:56.601911+00:00"},{"alias_kind":"pith_short_12","alias_value":"BFN4PYCIAGCR","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_16","alias_value":"BFN4PYCIAGCRM4F2","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_8","alias_value":"BFN4PYCI","created_at":"2026-05-18T12:30:07.202191+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/BFN4PYCIAGCRM4F27C2RE2UYO3","json":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3.json","graph_json":"https://pith.science/api/pith-number/BFN4PYCIAGCRM4F27C2RE2UYO3/graph.json","events_json":"https://pith.science/api/pith-number/BFN4PYCIAGCRM4F27C2RE2UYO3/events.json","paper":"https://pith.science/paper/BFN4PYCI"},"agent_actions":{"view_html":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3","download_json":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3.json","view_paper":"https://pith.science/paper/BFN4PYCI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.00406&json=true","fetch_graph":"https://pith.science/api/pith-number/BFN4PYCIAGCRM4F27C2RE2UYO3/graph.json","fetch_events":"https://pith.science/api/pith-number/BFN4PYCIAGCRM4F27C2RE2UYO3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3/action/storage_attestation","attest_author":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3/action/author_attestation","sign_citation":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3/action/citation_signature","submit_replication":"https://pith.science/pith/BFN4PYCIAGCRM4F27C2RE2UYO3/action/replication_record"}},"created_at":"2026-05-18T00:58:56.601911+00:00","updated_at":"2026-05-18T00:58:56.601911+00:00"}