{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:JNY5DDD65THYN6H3QFCIYXA4OC","short_pith_number":"pith:JNY5DDD6","schema_version":"1.0","canonical_sha256":"4b71d18c7eeccf86f8fb81448c5c1c7090c849d06a6771f741b0e69dc4a06506","source":{"kind":"arxiv","id":"1308.3842","version":1},"attestation_state":"computed","paper":{"title":"Modeling Self-Similar Traffic for Network Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Abdallah Shami, Xiaofeng Bai","submitted_at":"2013-08-18T07:46:14Z","abstract_excerpt":"In order to closely simulate the real network scenario thereby verify the effectiveness of protocol designs, it is necessary to model the traffic flows carried over realistic networks. Extensive studies [1] showed that the actual traffic in access and local area networks (e.g., those generated by ftp and video streams) exhibits the property of self-similarity and long-range dependency (LRD) [2]. In this appendix we briefly introduce the property of self-similarity and suggest a practical approach for modeling self-similar traces with specified traffic intensity."},"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":"1308.3842","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2013-08-18T07:46:14Z","cross_cats_sorted":[],"title_canon_sha256":"ee0b4f0994d240f96231b285f892e9694a1a3a6be1f6a7eb1615c6b46875add9","abstract_canon_sha256":"0860df04738f50559aafecbb516fd2ba2afdf664d07050709fa90161df5f9fa9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:15:42.374867Z","signature_b64":"k0Ll+z7kzNp7MbTIDu0emy/bcUWWxDxxOC4m8TWif41ppYNfJokfPBM91lmjSvtNGtN52dVs3ZK/8wG240B/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b71d18c7eeccf86f8fb81448c5c1c7090c849d06a6771f741b0e69dc4a06506","last_reissued_at":"2026-05-18T03:15:42.374272Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:15:42.374272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling Self-Similar Traffic for Network Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Abdallah Shami, Xiaofeng Bai","submitted_at":"2013-08-18T07:46:14Z","abstract_excerpt":"In order to closely simulate the real network scenario thereby verify the effectiveness of protocol designs, it is necessary to model the traffic flows carried over realistic networks. Extensive studies [1] showed that the actual traffic in access and local area networks (e.g., those generated by ftp and video streams) exhibits the property of self-similarity and long-range dependency (LRD) [2]. In this appendix we briefly introduce the property of self-similarity and suggest a practical approach for modeling self-similar traces with specified traffic intensity."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.3842","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":"1308.3842","created_at":"2026-05-18T03:15:42.374384+00:00"},{"alias_kind":"arxiv_version","alias_value":"1308.3842v1","created_at":"2026-05-18T03:15:42.374384+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.3842","created_at":"2026-05-18T03:15:42.374384+00:00"},{"alias_kind":"pith_short_12","alias_value":"JNY5DDD65THY","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_16","alias_value":"JNY5DDD65THYN6H3","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_8","alias_value":"JNY5DDD6","created_at":"2026-05-18T12:27:49.015174+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/JNY5DDD65THYN6H3QFCIYXA4OC","json":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC.json","graph_json":"https://pith.science/api/pith-number/JNY5DDD65THYN6H3QFCIYXA4OC/graph.json","events_json":"https://pith.science/api/pith-number/JNY5DDD65THYN6H3QFCIYXA4OC/events.json","paper":"https://pith.science/paper/JNY5DDD6"},"agent_actions":{"view_html":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC","download_json":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC.json","view_paper":"https://pith.science/paper/JNY5DDD6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1308.3842&json=true","fetch_graph":"https://pith.science/api/pith-number/JNY5DDD65THYN6H3QFCIYXA4OC/graph.json","fetch_events":"https://pith.science/api/pith-number/JNY5DDD65THYN6H3QFCIYXA4OC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC/action/storage_attestation","attest_author":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC/action/author_attestation","sign_citation":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC/action/citation_signature","submit_replication":"https://pith.science/pith/JNY5DDD65THYN6H3QFCIYXA4OC/action/replication_record"}},"created_at":"2026-05-18T03:15:42.374384+00:00","updated_at":"2026-05-18T03:15:42.374384+00:00"}