{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:28:02Z","timestamp":1742977682701,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031517334"},{"type":"electronic","value":"9783031517341"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-51734-1_3","type":"book-chapter","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T14:02:02Z","timestamp":1705586522000},"page":"31-46","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["GPChain: Optimizing Cross-Shard Transactions and\u00a0Load Imbalance in\u00a0Sharded Blockchain Networks"],"prefix":"10.1007","author":[{"given":"Hongmu","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinhua","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenlong","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,19]]},"reference":[{"issue":"2","key":"3_CR1","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1109\/TPDS.2022.3227198","volume":"34","author":"Z Cai","year":"2023","unstructured":"Cai, Z., et al.: Benzene: scaling blockchain with cooperation-based sharding. IEEE Trans. Parallel Distrib. Syst. 34(2), 639\u2013654 (2023). https:\/\/doi.org\/10.1109\/TPDS.2022.3227198","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"3_CR2","doi-asserted-by":"publisher","unstructured":"Chen, R., Shi, J., Chen, Y., Zang, B., Guan, H., Chen, H.: PowerLyra: differentiated graph computation and partitioning on skewed graphs. ACM Trans. Parallel Comput. 5(3), 13:1\u201313:39 (2018). https:\/\/doi.org\/10.1145\/3298989","DOI":"10.1145\/3298989"},{"issue":"18","key":"3_CR3","doi-asserted-by":"publisher","first-page":"17070","DOI":"10.1109\/JIOT.2021.3126895","volume":"9","author":"N Gao","year":"2022","unstructured":"Gao, N., Huo, R., Wang, S., Huang, T., Liu, Y.: Sharding-Hashgraph: a high-performance blockchain-based framework for industrial internet of things with hashgraph mechanism. IEEE Internet Things J. 9(18), 17070\u201317079 (2022). https:\/\/doi.org\/10.1109\/JIOT.2021.3126895","journal-title":"IEEE Internet Things J."},{"key":"3_CR4","unstructured":"Gonzalez, J.E., Low, Y., Gu, H., Bickson, D., Guestrin, C.: PowerGraph: distributed graph-parallel computation on natural graphs (2012). https:\/\/www.usenix.org\/conference\/osdi12\/technical-sessions\/presentation\/gonzalez"},{"key":"3_CR5","doi-asserted-by":"publisher","unstructured":"Huang, H., Peng, X., Zhan, J., Zhang, S., Lin, Y., Zheng, Z., Guo, S.: Brokerchain: A cross-shard blockchain protocol for account\/balance-based state sharding (2022). https:\/\/doi.org\/10.1109\/INFOCOM48880.2022.9796859","DOI":"10.1109\/INFOCOM48880.2022.9796859"},{"key":"3_CR6","doi-asserted-by":"publisher","unstructured":"Jain, N., Liao, G., Willke, T.L.: GraphBuilder: scalable graph ETL framework (2013). https:\/\/doi.org\/10.1145\/2484425.2484429, https:\/\/event.cwi.nl\/grades2013\/04-jain.pdf","DOI":"10.1145\/2484425.2484429"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Jia, D., Xin, J., Wang, Z., Wang, G.: Optimized data storage method for sharding-based blockchain. IEEE Access 9, 67890\u201367900 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3077650","DOI":"10.1109\/ACCESS.2021.3077650"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Karypis, G., Kumar, V.: A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput. 20(1), 359\u2013392 (1998). https:\/\/doi.org\/10.1137\/S1064827595287997","DOI":"10.1137\/S1064827595287997"},{"key":"3_CR9","doi-asserted-by":"publisher","unstructured":"Kokoris-Kogias, E., Jovanovic, P., Gasser, L., Gailly, N., Syta, E., Ford, B.: OmniLedger: a secure, scale-out, decentralized ledger via sharding (2018). https:\/\/doi.org\/10.1109\/SP.2018.000-5","DOI":"10.1109\/SP.2018.000-5"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Li, Y., Wang, J., Zhang, H.: A survey of state-of-the-art sharding blockchains: models, components, and attack surfaces. J. Netw. Comput. Appl. 217, 103686 (2023). https:\/\/doi.org\/10.1016\/j.jnca.2023.103686","DOI":"10.1016\/j.jnca.2023.103686"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Luu, L., Narayanan, V., Zheng, C., Baweja, K., Gilbert, S., Saxena, P.: A secure sharding protocol for open blockchains (2016). https:\/\/doi.org\/10.1145\/2976749.2978389","DOI":"10.1145\/2976749.2978389"},{"key":"3_CR12","doi-asserted-by":"publisher","unstructured":"Petroni, F., Querzoni, L., Daudjee, K., Kamali, S., Iacoboni, G.: HDRF: stream-based partitioning for power-law graphs (2015). https:\/\/doi.org\/10.1145\/2806416.2806424","DOI":"10.1145\/2806416.2806424"},{"key":"3_CR13","doi-asserted-by":"publisher","unstructured":"Qi, X.: S-store: a scalable data store towards permissioned blockchain sharding (2022). https:\/\/doi.org\/10.1109\/INFOCOM48880.2022.9796800","DOI":"10.1109\/INFOCOM48880.2022.9796800"},{"key":"3_CR14","unstructured":"Wang, J., Wang, H.: Monoxide: scale out blockchains with asynchronous consensus zones (2019). https:\/\/www.usenix.org\/conference\/nsdi19\/presentation\/wang-jiaping"},{"issue":"16","key":"3_CR15","doi-asserted-by":"publisher","first-page":"14896","DOI":"10.1109\/JIOT.2023.3294234","volume":"10","author":"J Xi","year":"2023","unstructured":"Xi, J., et al.: A blockchain dynamic sharding scheme based on hidden Markov model in collaborative IoT. IEEE Internet Things J. 10(16), 14896\u201314907 (2023). https:\/\/doi.org\/10.1109\/JIOT.2023.3294234","journal-title":"IEEE Internet Things J."},{"key":"3_CR16","unstructured":"Xie, C., Yan, L., Li, W., Zhang, Z.: Distributed power-law graph computing: theoretical and empirical analysis (2014). https:\/\/proceedings.neurips.cc\/paper\/2014\/hash\/67d16d00201083a2b118dd5128d-d6f59-Abstract.html"},{"key":"3_CR17","doi-asserted-by":"publisher","unstructured":"Xu, M., Feng, G., Ren, Y., Zhang, X.: On cloud storage optimization of blockchain with a clustering-based genetic algorithm. IEEE Internet Things J. 7(9), 8547\u20138558 (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.2993030","DOI":"10.1109\/JIOT.2020.2993030"},{"key":"3_CR18","doi-asserted-by":"publisher","unstructured":"Yang, Z., Li, M., Yang, R., Yu, F.R., Zhang, Y.: Blockchain sharding strategy for collaborative computing internet of things combining dynamic clustering and deep reinforcement learning (2022). https:\/\/doi.org\/10.1109\/ICC45855.2022.9838570","DOI":"10.1109\/ICC45855.2022.9838570"},{"key":"3_CR19","doi-asserted-by":"publisher","unstructured":"Zamani, M., Movahedi, M., Raykova, M.: RapidChain: scaling blockchain via full sharding (2018). https:\/\/doi.org\/10.1145\/3243734.3243853","DOI":"10.1145\/3243734.3243853"},{"key":"3_CR20","doi-asserted-by":"publisher","unstructured":"Zhang, C., Wei, F., Liu, Q., Tang, Z.G., Li, Z.: Graph edge partitioning via neighborhood heuristic (2017). https:\/\/doi.org\/10.1145\/3097983.3098033","DOI":"10.1145\/3097983.3098033"},{"key":"3_CR21","doi-asserted-by":"publisher","unstructured":"Zhang, Z., et al.: A community detection-based blockchain sharding scheme (2022). https:\/\/doi.org\/10.1007\/978-3-031-23495-8_6","DOI":"10.1007\/978-3-031-23495-8_6"}],"container-title":["Lecture Notes in Computer Science","Internet of Things \u2013 ICIOT 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51734-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T14:02:58Z","timestamp":1705586578000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51734-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031517334","9783031517341"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51734-1_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"19 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIOT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Internet of Things","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciot2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.servicessociety.org\/iciot","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}