{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:7ZQQUFV4VIFOZCNJK2HBQTPM3J","short_pith_number":"pith:7ZQQUFV4","schema_version":"1.0","canonical_sha256":"fe610a16bcaa0aec89a9568e184decda4bdecc37bb79c29939bdc7fdf3d39d39","source":{"kind":"arxiv","id":"1510.06486","version":1},"attestation_state":"computed","paper":{"title":"Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Amir Vahid Dastjerdi, Chris Leckie, Kotagiri Ramamohanarao, Rajkumar Buyya, Rodrigo N. Calheiros, Steve Versteeg","submitted_at":"2015-10-22T04:07:55Z","abstract_excerpt":"The emergence of cloud computing has made dynamic provisioning of elastic capacity to applications on-demand. Cloud data centers contain thousands of physical servers hosting orders of magnitude more virtual machines that can be allocated on demand to users in a pay-as-you-go model. However, not all systems are able to scale up by just adding more virtual machines. Therefore, it is essential, even for scalable systems, to project workloads in advance rather than using a purely reactive approach. Given the scale of modern cloud infrastructures generating real time monitoring information, along "},"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":"1510.06486","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2015-10-22T04:07:55Z","cross_cats_sorted":[],"title_canon_sha256":"6b9539fc2de8387bab3ea164c5f666b73f826c8d15021dd51df75a3a7e7d2678","abstract_canon_sha256":"d6b48474da9076b14271c8f7ce11fd1daa2719df4a13847718e7c9728dd36262"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:34.735630Z","signature_b64":"BYbv2VgQ/BvL98ypZU7JINmw6EIaZu9Cg2VZUsyAx/OaEXdUQw6+Mzre4yn+yRDIMyTlBtnbwFw4mWL6FdXLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe610a16bcaa0aec89a9568e184decda4bdecc37bb79c29939bdc7fdf3d39d39","last_reissued_at":"2026-05-18T00:58:34.735005Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:34.735005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Amir Vahid Dastjerdi, Chris Leckie, Kotagiri Ramamohanarao, Rajkumar Buyya, Rodrigo N. Calheiros, Steve Versteeg","submitted_at":"2015-10-22T04:07:55Z","abstract_excerpt":"The emergence of cloud computing has made dynamic provisioning of elastic capacity to applications on-demand. Cloud data centers contain thousands of physical servers hosting orders of magnitude more virtual machines that can be allocated on demand to users in a pay-as-you-go model. However, not all systems are able to scale up by just adding more virtual machines. Therefore, it is essential, even for scalable systems, to project workloads in advance rather than using a purely reactive approach. Given the scale of modern cloud infrastructures generating real time monitoring information, along "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.06486","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":"1510.06486","created_at":"2026-05-18T00:58:34.735086+00:00"},{"alias_kind":"arxiv_version","alias_value":"1510.06486v1","created_at":"2026-05-18T00:58:34.735086+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.06486","created_at":"2026-05-18T00:58:34.735086+00:00"},{"alias_kind":"pith_short_12","alias_value":"7ZQQUFV4VIFO","created_at":"2026-05-18T12:29:10.953037+00:00"},{"alias_kind":"pith_short_16","alias_value":"7ZQQUFV4VIFOZCNJ","created_at":"2026-05-18T12:29:10.953037+00:00"},{"alias_kind":"pith_short_8","alias_value":"7ZQQUFV4","created_at":"2026-05-18T12:29:10.953037+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/7ZQQUFV4VIFOZCNJK2HBQTPM3J","json":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J.json","graph_json":"https://pith.science/api/pith-number/7ZQQUFV4VIFOZCNJK2HBQTPM3J/graph.json","events_json":"https://pith.science/api/pith-number/7ZQQUFV4VIFOZCNJK2HBQTPM3J/events.json","paper":"https://pith.science/paper/7ZQQUFV4"},"agent_actions":{"view_html":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J","download_json":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J.json","view_paper":"https://pith.science/paper/7ZQQUFV4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1510.06486&json=true","fetch_graph":"https://pith.science/api/pith-number/7ZQQUFV4VIFOZCNJK2HBQTPM3J/graph.json","fetch_events":"https://pith.science/api/pith-number/7ZQQUFV4VIFOZCNJK2HBQTPM3J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J/action/storage_attestation","attest_author":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J/action/author_attestation","sign_citation":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J/action/citation_signature","submit_replication":"https://pith.science/pith/7ZQQUFV4VIFOZCNJK2HBQTPM3J/action/replication_record"}},"created_at":"2026-05-18T00:58:34.735086+00:00","updated_at":"2026-05-18T00:58:34.735086+00:00"}