{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:RTLLZAW4GXZY3DWVAALKON6EHU","short_pith_number":"pith:RTLLZAW4","schema_version":"1.0","canonical_sha256":"8cd6bc82dc35f38d8ed50016a737c43d379e9562cb30e339bfa36d74993d4d2e","source":{"kind":"arxiv","id":"1602.06488","version":1},"attestation_state":"computed","paper":{"title":"IOTSim: a Cloud based Simulator for Analysing IoT Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Dimitrios Georgakopoulos, Peter Strazdins, Prem Jayaraman, Rajiv Ranjan, Saurabh Kumar Garg, Xuezhi Zeng","submitted_at":"2016-02-21T02:32:03Z","abstract_excerpt":"A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in general supported through clouds where data is stored and processed by big data processing systems. In order to improve the efficiency of cloud infrastructure so that they can efficiently support IoT big data applications, it is important to understand how these applications and the corresponding big data processing systems will perform in cloud computing envi"},"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":"1602.06488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-02-21T02:32:03Z","cross_cats_sorted":[],"title_canon_sha256":"b8a5c845d4237ac1248a372ebf24b3aab94e605c710ca684b717c9931c25ec99","abstract_canon_sha256":"e0c861388ca46c78fef471ae44c0bda8db8d10f58a68f3a703dc171eb6296b4b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:13.836501Z","signature_b64":"6gPef3Ka7shCk0Mqh0cpO3qcFxASrDkdzthLFUcEEb5FjA/14xoyW2z+Yl5b/w6S1Jc2GVGbFBBf/2v7oW2wAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cd6bc82dc35f38d8ed50016a737c43d379e9562cb30e339bfa36d74993d4d2e","last_reissued_at":"2026-05-18T01:20:13.835978Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:13.835978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IOTSim: a Cloud based Simulator for Analysing IoT Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Dimitrios Georgakopoulos, Peter Strazdins, Prem Jayaraman, Rajiv Ranjan, Saurabh Kumar Garg, Xuezhi Zeng","submitted_at":"2016-02-21T02:32:03Z","abstract_excerpt":"A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in general supported through clouds where data is stored and processed by big data processing systems. In order to improve the efficiency of cloud infrastructure so that they can efficiently support IoT big data applications, it is important to understand how these applications and the corresponding big data processing systems will perform in cloud computing envi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06488","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":"1602.06488","created_at":"2026-05-18T01:20:13.836053+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.06488v1","created_at":"2026-05-18T01:20:13.836053+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06488","created_at":"2026-05-18T01:20:13.836053+00:00"},{"alias_kind":"pith_short_12","alias_value":"RTLLZAW4GXZY","created_at":"2026-05-18T12:30:41.710351+00:00"},{"alias_kind":"pith_short_16","alias_value":"RTLLZAW4GXZY3DWV","created_at":"2026-05-18T12:30:41.710351+00:00"},{"alias_kind":"pith_short_8","alias_value":"RTLLZAW4","created_at":"2026-05-18T12:30:41.710351+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/RTLLZAW4GXZY3DWVAALKON6EHU","json":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU.json","graph_json":"https://pith.science/api/pith-number/RTLLZAW4GXZY3DWVAALKON6EHU/graph.json","events_json":"https://pith.science/api/pith-number/RTLLZAW4GXZY3DWVAALKON6EHU/events.json","paper":"https://pith.science/paper/RTLLZAW4"},"agent_actions":{"view_html":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU","download_json":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU.json","view_paper":"https://pith.science/paper/RTLLZAW4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.06488&json=true","fetch_graph":"https://pith.science/api/pith-number/RTLLZAW4GXZY3DWVAALKON6EHU/graph.json","fetch_events":"https://pith.science/api/pith-number/RTLLZAW4GXZY3DWVAALKON6EHU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU/action/storage_attestation","attest_author":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU/action/author_attestation","sign_citation":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU/action/citation_signature","submit_replication":"https://pith.science/pith/RTLLZAW4GXZY3DWVAALKON6EHU/action/replication_record"}},"created_at":"2026-05-18T01:20:13.836053+00:00","updated_at":"2026-05-18T01:20:13.836053+00:00"}