{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BI7WQ2ZNNDXZNCQDUHFQK25UPA","short_pith_number":"pith:BI7WQ2ZN","canonical_record":{"source":{"id":"1711.09138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-11-24T21:02:42Z","cross_cats_sorted":[],"title_canon_sha256":"f37884701153a4c46130b2355c0ff693b45641e59cb2bd2d7ac44e1f6dbceb7e","abstract_canon_sha256":"eac6688e3b4c97ed301cca789e0b3cca21fbe61bbf01bb7d994d6a99f82cf33e"},"schema_version":"1.0"},"canonical_sha256":"0a3f686b2d68ef968a03a1cb056bb4783f0c0062a846fd3448cb2db27816c788","source":{"kind":"arxiv","id":"1711.09138","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09138","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09138v2","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09138","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"BI7WQ2ZNNDXZ","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BI7WQ2ZNNDXZNCQD","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BI7WQ2ZN","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BI7WQ2ZNNDXZNCQDUHFQK25UPA","target":"record","payload":{"canonical_record":{"source":{"id":"1711.09138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-11-24T21:02:42Z","cross_cats_sorted":[],"title_canon_sha256":"f37884701153a4c46130b2355c0ff693b45641e59cb2bd2d7ac44e1f6dbceb7e","abstract_canon_sha256":"eac6688e3b4c97ed301cca789e0b3cca21fbe61bbf01bb7d994d6a99f82cf33e"},"schema_version":"1.0"},"canonical_sha256":"0a3f686b2d68ef968a03a1cb056bb4783f0c0062a846fd3448cb2db27816c788","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:17.931919Z","signature_b64":"dmAbWc0WO3IGCaLxc45IWFDaLnqnka5sSG/C2DicOJUiqPmegzwxl3ka7DazgXIFtomdvQTV+V6rmi/SYSjkBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a3f686b2d68ef968a03a1cb056bb4783f0c0062a846fd3448cb2db27816c788","last_reissued_at":"2026-05-18T00:29:17.931070Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:17.931070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.09138","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:29:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MrdFkA7ee/WAe9S4xqhBfOuscW79NXEjyZ6J8g1r9OYRZUYdlD/BdXDbv7TP0hzm6MIWftQDy3my3oydwigTBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T07:17:09.648113Z"},"content_sha256":"b825a8cebf90a3d02b51af5b19e45d32e8f822e246877556df41bd700363bf9b","schema_version":"1.0","event_id":"sha256:b825a8cebf90a3d02b51af5b19e45d32e8f822e246877556df41bd700363bf9b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BI7WQ2ZNNDXZNCQDUHFQK25UPA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Adam Barker, Blesson Varghese, Sheriffo Ceesay","submitted_at":"2017-11-24T21:02:42Z","abstract_excerpt":"The recent boom of big data, coupled with the challenges of its processing and storage gave rise to the development of distributed data processing and storage paradigms like MapReduce, Spark, and NoSQL databases. With the advent of cloud computing, processing and storing such massive datasets on clusters of machines is now feasible with ease. However, there are limited tools and approaches, which users can rely on to gauge and comprehend the performance of their big data applications deployed locally on clusters, or in the cloud. Researchers have started exploring this area by providing benchm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09138","kind":"arxiv","version":2},"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":"2026-05-18T00:29:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tc3r8TndlQpYgXzxq3h4Dl0Z9dTExAVxHpa4eBHii/iSIZoL5v+X1e4MuaLLB8gP7twn0o+ZGicxAAFKcdycCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T07:17:09.648475Z"},"content_sha256":"733a824bb8f73e3037f0faf67d8449d3544cfc99095202644ab1531dab9814ef","schema_version":"1.0","event_id":"sha256:733a824bb8f73e3037f0faf67d8449d3544cfc99095202644ab1531dab9814ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/bundle.json","state_url":"https://pith.science/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/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":"2026-06-04T07:17:09Z","links":{"resolver":"https://pith.science/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA","bundle":"https://pith.science/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/bundle.json","state":"https://pith.science/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BI7WQ2ZNNDXZNCQDUHFQK25UPA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BI7WQ2ZNNDXZNCQDUHFQK25UPA","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":"eac6688e3b4c97ed301cca789e0b3cca21fbe61bbf01bb7d994d6a99f82cf33e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-11-24T21:02:42Z","title_canon_sha256":"f37884701153a4c46130b2355c0ff693b45641e59cb2bd2d7ac44e1f6dbceb7e"},"schema_version":"1.0","source":{"id":"1711.09138","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09138","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09138v2","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09138","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"BI7WQ2ZNNDXZ","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BI7WQ2ZNNDXZNCQD","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BI7WQ2ZN","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:733a824bb8f73e3037f0faf67d8449d3544cfc99095202644ab1531dab9814ef","target":"graph","created_at":"2026-05-18T00:29:17Z","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":"The recent boom of big data, coupled with the challenges of its processing and storage gave rise to the development of distributed data processing and storage paradigms like MapReduce, Spark, and NoSQL databases. With the advent of cloud computing, processing and storing such massive datasets on clusters of machines is now feasible with ease. However, there are limited tools and approaches, which users can rely on to gauge and comprehend the performance of their big data applications deployed locally on clusters, or in the cloud. Researchers have started exploring this area by providing benchm","authors_text":"Adam Barker, Blesson Varghese, Sheriffo Ceesay","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-11-24T21:02:42Z","title":"Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09138","kind":"arxiv","version":2},"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:b825a8cebf90a3d02b51af5b19e45d32e8f822e246877556df41bd700363bf9b","target":"record","created_at":"2026-05-18T00:29:17Z","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":"eac6688e3b4c97ed301cca789e0b3cca21fbe61bbf01bb7d994d6a99f82cf33e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-11-24T21:02:42Z","title_canon_sha256":"f37884701153a4c46130b2355c0ff693b45641e59cb2bd2d7ac44e1f6dbceb7e"},"schema_version":"1.0","source":{"id":"1711.09138","kind":"arxiv","version":2}},"canonical_sha256":"0a3f686b2d68ef968a03a1cb056bb4783f0c0062a846fd3448cb2db27816c788","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a3f686b2d68ef968a03a1cb056bb4783f0c0062a846fd3448cb2db27816c788","first_computed_at":"2026-05-18T00:29:17.931070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:17.931070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dmAbWc0WO3IGCaLxc45IWFDaLnqnka5sSG/C2DicOJUiqPmegzwxl3ka7DazgXIFtomdvQTV+V6rmi/SYSjkBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:17.931919Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09138","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b825a8cebf90a3d02b51af5b19e45d32e8f822e246877556df41bd700363bf9b","sha256:733a824bb8f73e3037f0faf67d8449d3544cfc99095202644ab1531dab9814ef"],"state_sha256":"16280f05c8ce801fc47caf9d8fe1188c70ba5842977a6dfe33bcec390473f5d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zdtJGMdYSCNBN9kLywVdJLP7fMHhk6jxqwVPJzUUz3TdAvN4UOvnzpd5E1O97f25AgdL2IVE+hbNNSz1kIiiCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T07:17:09.650666Z","bundle_sha256":"08566f91d1b21d87838eb6e546f786d5a81ea59ef6ce55f6ac12277eae0c0eb5"}}