{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ADURMW3PVQYG4DI2FJQZIIEZZE","short_pith_number":"pith:ADURMW3P","schema_version":"1.0","canonical_sha256":"00e9165b6fac306e0d1a2a61942099c90d553b9e41807bd601464456189f853e","source":{"kind":"arxiv","id":"2605.24641","version":1},"attestation_state":"computed","paper":{"title":"Joint Service Placement and Resource Optimization in Hierarchical Edge-Cloud Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Diep N. Nguyen, Dinh Thai Hoang, Minh-Tuong Nguyen, Symeon Chatzinotas, Toan D. Gian, Tuan-Vu Truong, Van-Dinh Nguyen, Vo Phi Son","submitted_at":"2026-05-23T16:15:05Z","abstract_excerpt":"Hierarchical edge-cloud computing-aided Internet of Things (IoT) networks offer low-latency and cost-efficient services to a growing number of data-intensive IoT devices. However, optimizing service placement, which involves determining the most suitable locations within a network to deploy various services, is critical to balancing workloads dynamically and ensuring efficient resource utilization. In this paper, we jointly optimize service placement, edge/cloud cooperation, task offloading, and bandwidth allocation to enhance processing efficiency and response times. The main objective is to "},"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":"2605.24641","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T16:15:05Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"803e3f83a0863d819326fdb2c9c651a5d353ba0e96fe555dd7e7a0feb3b40c82","abstract_canon_sha256":"a2664bcb463cfcb4ac3dfc343fb8c4c5fca4d87f655cd6a3dce4a61e8fd48558"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:50.719927Z","signature_b64":"dBsJuDcb2w7JsYz0qM/cungJufjtbaWK5juYIWCWjmKFPqfWyhR2i9EGFUgcIaGade/hQSD4TyVmaLYibUsoAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00e9165b6fac306e0d1a2a61942099c90d553b9e41807bd601464456189f853e","last_reissued_at":"2026-05-26T01:03:50.719128Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:50.719128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Service Placement and Resource Optimization in Hierarchical Edge-Cloud Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Diep N. Nguyen, Dinh Thai Hoang, Minh-Tuong Nguyen, Symeon Chatzinotas, Toan D. Gian, Tuan-Vu Truong, Van-Dinh Nguyen, Vo Phi Son","submitted_at":"2026-05-23T16:15:05Z","abstract_excerpt":"Hierarchical edge-cloud computing-aided Internet of Things (IoT) networks offer low-latency and cost-efficient services to a growing number of data-intensive IoT devices. However, optimizing service placement, which involves determining the most suitable locations within a network to deploy various services, is critical to balancing workloads dynamically and ensuring efficient resource utilization. In this paper, we jointly optimize service placement, edge/cloud cooperation, task offloading, and bandwidth allocation to enhance processing efficiency and response times. The main objective is to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24641","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.24641/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2605.24641","created_at":"2026-05-26T01:03:50.719256+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.24641v1","created_at":"2026-05-26T01:03:50.719256+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24641","created_at":"2026-05-26T01:03:50.719256+00:00"},{"alias_kind":"pith_short_12","alias_value":"ADURMW3PVQYG","created_at":"2026-05-26T01:03:50.719256+00:00"},{"alias_kind":"pith_short_16","alias_value":"ADURMW3PVQYG4DI2","created_at":"2026-05-26T01:03:50.719256+00:00"},{"alias_kind":"pith_short_8","alias_value":"ADURMW3P","created_at":"2026-05-26T01:03:50.719256+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/ADURMW3PVQYG4DI2FJQZIIEZZE","json":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE.json","graph_json":"https://pith.science/api/pith-number/ADURMW3PVQYG4DI2FJQZIIEZZE/graph.json","events_json":"https://pith.science/api/pith-number/ADURMW3PVQYG4DI2FJQZIIEZZE/events.json","paper":"https://pith.science/paper/ADURMW3P"},"agent_actions":{"view_html":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE","download_json":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE.json","view_paper":"https://pith.science/paper/ADURMW3P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.24641&json=true","fetch_graph":"https://pith.science/api/pith-number/ADURMW3PVQYG4DI2FJQZIIEZZE/graph.json","fetch_events":"https://pith.science/api/pith-number/ADURMW3PVQYG4DI2FJQZIIEZZE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE/action/storage_attestation","attest_author":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE/action/author_attestation","sign_citation":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE/action/citation_signature","submit_replication":"https://pith.science/pith/ADURMW3PVQYG4DI2FJQZIIEZZE/action/replication_record"}},"created_at":"2026-05-26T01:03:50.719256+00:00","updated_at":"2026-05-26T01:03:50.719256+00:00"}