{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:UPA3CICWBHDBYWYDXMZDWKGKC6","short_pith_number":"pith:UPA3CICW","canonical_record":{"source":{"id":"1702.08037","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-02-26T14:15:37Z","cross_cats_sorted":[],"title_canon_sha256":"4c310cd9c5b9da73cf4509626c82f205e01911a0b1c0af29b414398ff3fbee12","abstract_canon_sha256":"22371fabd2c340ab20de240e0d6e626a289ff24f7bf3f7e9e3790962d2e7dfcf"},"schema_version":"1.0"},"canonical_sha256":"a3c1b1205609c61c5b03bb323b28ca178edaaaa953e6b4c78674b635accd7b36","source":{"kind":"arxiv","id":"1702.08037","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08037","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08037v1","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08037","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"pith_short_12","alias_value":"UPA3CICWBHDB","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UPA3CICWBHDBYWYD","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UPA3CICW","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:UPA3CICWBHDBYWYDXMZDWKGKC6","target":"record","payload":{"canonical_record":{"source":{"id":"1702.08037","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-02-26T14:15:37Z","cross_cats_sorted":[],"title_canon_sha256":"4c310cd9c5b9da73cf4509626c82f205e01911a0b1c0af29b414398ff3fbee12","abstract_canon_sha256":"22371fabd2c340ab20de240e0d6e626a289ff24f7bf3f7e9e3790962d2e7dfcf"},"schema_version":"1.0"},"canonical_sha256":"a3c1b1205609c61c5b03bb323b28ca178edaaaa953e6b4c78674b635accd7b36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:56.241407Z","signature_b64":"L0fX/KOerE9I6g+TsCStQQ7Lg7fwMfhR9upJRbWwilHLA2H0BB/0XONNYn2APOxqMaPYeHDv6u6d+SU1strWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3c1b1205609c61c5b03bb323b28ca178edaaaa953e6b4c78674b635accd7b36","last_reissued_at":"2026-05-18T00:49:56.240692Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:56.240692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.08037","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:49:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hs6XfqIjPCx129c15/tEfgh9evOzAgg8f3aId7hoyy71tw5HvyQpUznWZIZGwM69d/AI7H5j/lt1ZBe5LSjyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T21:09:45.648537Z"},"content_sha256":"12cce0064799a58ec21bde326452e34405c1a1541c7bc398a8e6d43147794283","schema_version":"1.0","event_id":"sha256:12cce0064799a58ec21bde326452e34405c1a1541c7bc398a8e6d43147794283"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:UPA3CICWBHDBYWYDXMZDWKGKC6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Heavy Flows in the SDN Match and Action Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Anat Bremler-Barr, Liron Schiff, Shir Landau Feibish, Yehuda Afek","submitted_at":"2017-02-26T14:15:37Z","abstract_excerpt":"Efficient algorithms and techniques to detect and identify large flows in a high throughput traffic stream in the SDN match-and-action model are presented. This is in contrast to previous work that either deviated from the match and action model by requiring additional switch level capabilities or did not exploit the SDN data plane. Our construction has two parts; (a) how to sample in an SDN match and action model, (b) how to detect large flows efficiently and in a scalable way, in the SDN model.\n  Our large flow detection methods provide high accuracy and present a good and practical tradeoff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08037","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:49:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"foClduQFdrKW+drS34LtMGvadYT+wmMMN6OSpQrxXfCBlEbPg3Rpqf02a5L6elXljpptnqaCyRq/JWgCretDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T21:09:45.649265Z"},"content_sha256":"0f8c27bb0862aa55cba60b5856bed22edff0199490bd356bf05111f6daf4e0fa","schema_version":"1.0","event_id":"sha256:0f8c27bb0862aa55cba60b5856bed22edff0199490bd356bf05111f6daf4e0fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/bundle.json","state_url":"https://pith.science/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-09T21:09:45Z","links":{"resolver":"https://pith.science/pith/UPA3CICWBHDBYWYDXMZDWKGKC6","bundle":"https://pith.science/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/bundle.json","state":"https://pith.science/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UPA3CICWBHDBYWYDXMZDWKGKC6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:UPA3CICWBHDBYWYDXMZDWKGKC6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"22371fabd2c340ab20de240e0d6e626a289ff24f7bf3f7e9e3790962d2e7dfcf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-02-26T14:15:37Z","title_canon_sha256":"4c310cd9c5b9da73cf4509626c82f205e01911a0b1c0af29b414398ff3fbee12"},"schema_version":"1.0","source":{"id":"1702.08037","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08037","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08037v1","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08037","created_at":"2026-05-18T00:49:56Z"},{"alias_kind":"pith_short_12","alias_value":"UPA3CICWBHDB","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UPA3CICWBHDBYWYD","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UPA3CICW","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:0f8c27bb0862aa55cba60b5856bed22edff0199490bd356bf05111f6daf4e0fa","target":"graph","created_at":"2026-05-18T00:49:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Efficient algorithms and techniques to detect and identify large flows in a high throughput traffic stream in the SDN match-and-action model are presented. This is in contrast to previous work that either deviated from the match and action model by requiring additional switch level capabilities or did not exploit the SDN data plane. Our construction has two parts; (a) how to sample in an SDN match and action model, (b) how to detect large flows efficiently and in a scalable way, in the SDN model.\n  Our large flow detection methods provide high accuracy and present a good and practical tradeoff","authors_text":"Anat Bremler-Barr, Liron Schiff, Shir Landau Feibish, Yehuda Afek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-02-26T14:15:37Z","title":"Detecting Heavy Flows in the SDN Match and Action Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08037","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:12cce0064799a58ec21bde326452e34405c1a1541c7bc398a8e6d43147794283","target":"record","created_at":"2026-05-18T00:49:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"22371fabd2c340ab20de240e0d6e626a289ff24f7bf3f7e9e3790962d2e7dfcf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-02-26T14:15:37Z","title_canon_sha256":"4c310cd9c5b9da73cf4509626c82f205e01911a0b1c0af29b414398ff3fbee12"},"schema_version":"1.0","source":{"id":"1702.08037","kind":"arxiv","version":1}},"canonical_sha256":"a3c1b1205609c61c5b03bb323b28ca178edaaaa953e6b4c78674b635accd7b36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3c1b1205609c61c5b03bb323b28ca178edaaaa953e6b4c78674b635accd7b36","first_computed_at":"2026-05-18T00:49:56.240692Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:56.240692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L0fX/KOerE9I6g+TsCStQQ7Lg7fwMfhR9upJRbWwilHLA2H0BB/0XONNYn2APOxqMaPYeHDv6u6d+SU1strWBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:56.241407Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.08037","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12cce0064799a58ec21bde326452e34405c1a1541c7bc398a8e6d43147794283","sha256:0f8c27bb0862aa55cba60b5856bed22edff0199490bd356bf05111f6daf4e0fa"],"state_sha256":"feec60711c5da5189a1438cab01e5355971567d428de27d844f273acffba3d34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mlx190+uQfv9M9m19sO6If3BqWTMF+2TsQleYUSwNXHzqd+WMgxCXsNtyqV/fRLHpmKTmiqsl3zxKvFXOUC7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T21:09:45.653432Z","bundle_sha256":"bbba2e0742aceff5631aa72a660caa5c8df8df55559523c86b31de214e39c747"}}