{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T03:44:21Z","timestamp":1775619861123,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"financial and science technology plan project of xinjiang production and construction corps","award":["2020DB005"],"award-info":[{"award-number":["2020DB005"]}]},{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["41975183"],"award-info":[{"award-number":["41975183"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s11280-021-00939-7","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T11:03:41Z","timestamp":1629803021000},"page":"1769-1792","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["DIMA: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning"],"prefix":"10.1007","volume":"25","author":[{"given":"Hao","family":"Tian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4879-9803","authenticated-orcid":false,"given":"Xiaolong","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Tingyu","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Bilal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,24]]},"reference":[{"issue":"2","key":"939_CR1","doi-asserted-by":"publisher","first-page":"239","DOI":"10.26599\/TST.2019.9010062","volume":"26","author":"R Bi","year":"2020","unstructured":"Bi, R., Liu, Q., Ren, J., Tan, G.: Utility aware offloading for mobile-edge computing. Tsinghua Sci. Technol. 26(2), 239\u2013250 (2020)","journal-title":"Tsinghua Sci. Technol."},{"issue":"7","key":"939_CR2","doi-asserted-by":"publisher","first-page":"4947","DOI":"10.1109\/TWC.2020.2988386","volume":"19","author":"S Bi","year":"2020","unstructured":"Bi, S., Huang, L., Zhang, Y.-J.A.: Joint optimization of service caching placement and computation offloading in mobile edge computing systems. IEEE Trans. Wirel. Commun. 19(7), 4947\u20134963 (2020)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"6","key":"939_CR3","doi-asserted-by":"publisher","first-page":"894","DOI":"10.26599\/TST.2020.9010050","volume":"26","author":"H Chen","year":"2021","unstructured":"Chen, H., Zhang, Y., Cao, Y., Xie, J.: Security issues and defensive approaches in deep learning frameworks. Tsinghua Sci. Technol. 26(6), 894\u2013905 (2021)","journal-title":"Tsinghua Sci. Technol."},{"issue":"2","key":"939_CR4","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1109\/TMM.2019.2929004","volume":"22","author":"L Chen","year":"2019","unstructured":"Chen, L., Song, L., Chakareski, J., Jie, X.: Collaborative content placement among wireless edge caching stations with time-to-live cache. IEEE Trans. Multimed. 22(2), 432\u2013444 (2019)","journal-title":"IEEE Trans. Multimed."},{"issue":"4","key":"939_CR5","doi-asserted-by":"publisher","first-page":"2441","DOI":"10.1109\/TCOMM.2020.3044298","volume":"69","author":"S Chen","year":"2020","unstructured":"Chen, S., Yao, Z., Jiang, X., Yang, J., Hanzo, L.: Multi-agent deep reinforcement learning-based cooperative edge caching for ultra-dense next-generation networks. IEEE Trans. Commun 69(4), 2441\u20132456 (2020)","journal-title":"IEEE Trans. Commun"},{"key":"939_CR6","unstructured":"Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double q-learning. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence AAAI\u201916, pp 2094\u20132100. AAAI Press (2016)"},{"issue":"3","key":"939_CR7","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/TPDS.2019.2938944","volume":"31","author":"Q He","year":"2019","unstructured":"He, Q., Cui, G., Zhang, X., Chen, F., Deng, S., Jin, H., Li, Y., Yang, Y.: A game-theoretical approach for user allocation in edge computing environment. IEEE Trans. Parall. Distrib. Syst. 31(3), 515\u2013529 (2019)","journal-title":"IEEE Trans. Parall. Distrib. Syst."},{"issue":"12","key":"939_CR8","doi-asserted-by":"publisher","first-page":"2759","DOI":"10.1109\/TPDS.2019.2926979","volume":"30","author":"Z Hong","year":"2019","unstructured":"Hong, Z., Chen, W., Huang, H., Guo, S., Zheng, Z.: Multi-hop cooperative computation offloading for industrial iot\u2013edge\u2013cloud computing environments. IEEE Trans. Parall. Distrib. Syst. 30(12), 2759\u20132774 (2019)","journal-title":"IEEE Trans. Parall. Distrib. Syst."},{"issue":"2","key":"939_CR9","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1109\/JIOT.2019.2955311","volume":"7","author":"S Hu","year":"2019","unstructured":"Hu, S., Guanghui, L.: Dynamic request scheduling optimization in mobile edge computing for iot applications. IEEE Internet Things J. 7(2), 1426\u20131437 (2019)","journal-title":"IEEE Internet Things J."},{"key":"939_CR10","doi-asserted-by":"crossref","unstructured":"Jaramillo, D., Nguyen, D.V, Smart, R.: Leveraging microservices architecture by using docker technology. In: SoutheastCon 2016, pp 1\u20135. IEEE (2016)","DOI":"10.1109\/SECON.2016.7506647"},{"key":"939_CR11","doi-asserted-by":"crossref","unstructured":"Kim, J., Kim, T., Hashemi, M., Brinton, C.G, Love, D.J: Joint optimization of signal design and resource allocation in wireless d2d edge computing. In: IEEE INFOCOM 2020-IEEE Conference on Computer Communications, pp 2086\u20132095. IEEE (2020)","DOI":"10.1109\/INFOCOM41043.2020.9155510"},{"issue":"3","key":"939_CR12","doi-asserted-by":"publisher","first-page":"5345","DOI":"10.1109\/JIOT.2019.2900550","volume":"6","author":"L Lei","year":"2019","unstructured":"Lei, L., Xu, H., Xiong, X., Zheng, K., Xiang, W.: Joint computation offloading and multiuser scheduling using approximate dynamic programming in nb-iot edge computing systemxc. IEEE Internet Things J. 6(3), 5345\u20135362 (2019)","journal-title":"IEEE Internet Things J."},{"key":"939_CR13","first-page":"1","volume":"10","author":"S Li","year":"2018","unstructured":"Li, S., Li Da, X., Zhao, S.: 5g internet of things A survey. J. Industr. Inform. Integr. 10, 1\u20139 (2018)","journal-title":"J. Industr. Inform. Integr."},{"issue":"7","key":"939_CR14","doi-asserted-by":"publisher","first-page":"5922","DOI":"10.1109\/JIOT.2019.2951857","volume":"7","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Zeng, Z., Liu, X., Zhu, X., Bhuiyan, M.Z.A.: A novel load balancing and low response delay framework for edge-cloud network based on sdn. IEEE Internet Things J. 7(7), 5922\u20135933 (2019)","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"939_CR15","doi-asserted-by":"publisher","first-page":"25","DOI":"10.26599\/BDMA.2020.9020018","volume":"4","author":"J Mabrouki","year":"2021","unstructured":"Mabrouki, J., Azrour, M., Dhiba, D., Farhaoui, Y., Hajjaji, S.E.: Iot-based data logger for weather monitoring using arduino-based wireless sensor networks with remote graphical application and alerts. Big Data Mining Analytics 4(1), 25\u201332 (2021)","journal-title":"Big Data Mining Analytics"},{"issue":"1","key":"939_CR16","doi-asserted-by":"publisher","first-page":"56","DOI":"10.26599\/BDMA.2020.9020027","volume":"4","author":"YN Malek","year":"2021","unstructured":"Malek, Y.N., Najib, M., Bakhouya, M., Essaaidi, M.: Multivariate deep learning approach for electric vehicle speed forecasting. Big Data Mining Analytics 4(1), 56\u201364 (2021)","journal-title":"Big Data Mining Analytics"},{"key":"939_CR17","unstructured":"Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., Riedmiller, M.: Playing atari with deep reinforcement learning. arXiv:1312.5602 (2013)"},{"issue":"2","key":"939_CR18","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1109\/JSAC.2020.3020645","volume":"39","author":"Z Ning","year":"2021","unstructured":"Ning, Z., Dong, P., Wang, X., Xiping, H., Guo, L., Bin, H., Yi, G., Qiu, T., Kwok, RYK: Mobile edge computing enabled 5g health monitoring for internet of medical things A decentralized game theoretic approach. IEEE J. Select. Areas Commun. 39(2), 463\u2013478 (2021)","journal-title":"IEEE J. Select. Areas Commun."},{"issue":"2","key":"939_CR19","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/IOTM.0001.2000191","volume":"4","author":"B Prabadevi","year":"2021","unstructured":"Prabadevi, B, Deepa, N, Pham, Q-V, Nguyen, DC., Praveen Kumar Reddy, M, Thippa Reddy, G, Pathirana, P.N., Dobre, O.: Toward blockchain for edge-of-things A new paradigm, opportunities, and future directions. IEEE Internet Things Magaz. 4(2), 102\u2013108 (2021)","journal-title":"IEEE Internet Things Magaz."},{"issue":"10","key":"939_CR20","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1109\/LCOMM.2019.2931688","volume":"23","author":"W Pingyang","year":"2019","unstructured":"Pingyang, W., Li, J., Shi, L., Ding, M., Cai, K., Yang, F.: Dynamic content update for wireless edge caching via deep reinforcement learning. IEEE Commun. Lett. 23(10), 1773\u20131777 (2019)","journal-title":"IEEE Commun. Lett."},{"key":"939_CR21","unstructured":"Qi, H., Birman, K., Renesse, R.V., Lloyd, W., Kumar, S., Li, HC: An analysis of facebook photo caching. In: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, SOSP \u201913, pp 167\u2013181 (2013)"},{"issue":"3","key":"939_CR22","doi-asserted-by":"publisher","first-page":"1761","DOI":"10.1109\/COMST.2020.2997475","volume":"22","author":"W Rafique","year":"2020","unstructured":"Rafique, W., Qi, L., Yaqoob, I., Imran, M., Rasool, R.U., Dou, W.: Complementing iot services through software defined networking and edge computing: A comprehensive survey. IEEE Commun. Surv. Tutor. 22(3), 1761\u20131804 (2020)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"3","key":"939_CR23","doi-asserted-by":"publisher","first-page":"208","DOI":"10.26599\/BDMA.2021.9020004","volume":"4","author":"Z Ren","year":"2021","unstructured":"Ren, Z., Liu, Y., Shi, T., Xie, L., Zhou, Y., Zhai, J., Zhang, Y., Zhang, Y., Chen, W.: Aiperf: Automated machine learning as an ai-hpc benchmark. Big Data Mining Analytics 4(3), 208\u2013220 (2021)","journal-title":"Big Data Mining Analytics"},{"issue":"7","key":"939_CR24","doi-asserted-by":"publisher","first-page":"6164","DOI":"10.1109\/JIOT.2020.2981958","volume":"7","author":"A Samanta","year":"2020","unstructured":"Samanta, A., Tang, J.: Dyme: Dynamic microservice scheduling in edge computing enabled iot. IEEE Internet Things J. 7(7), 6164\u20136174 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"5","key":"939_CR25","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: Vision and challenges. IEEE Internet Things J. 3(5), 637\u2013646 (2016)","journal-title":"IEEE Internet Things J."},{"issue":"6","key":"939_CR26","doi-asserted-by":"publisher","first-page":"5286","DOI":"10.1109\/TVT.2021.3077072","volume":"70","author":"C Song","year":"2021","unstructured":"Song, C., Xu, W., Wu, T., Yu, S., Zeng, P., Zhang, N.: Qoe-driven edge caching in vehicle networks based on deep reinforcement learning. IEEE Trans. Veh. Technol. 70(6), 5286\u20135295 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"939_CR27","unstructured":"Tang, L., Huang, Q., Lloyd, W., Kumar, S., Li, K.: {RIPQ}: Advanced photo caching on flash for facebook. In: 13th {USENIX} Conference on File and Storage Technologies ({FAST} 15), pp 373\u2013386. USENIX Association (2015)"},{"issue":"3","key":"939_CR28","doi-asserted-by":"publisher","first-page":"155","DOI":"10.26599\/BDMA.2020.9020029","volume":"4","author":"Z Tong","year":"2021","unstructured":"Tong, Z., Ye, F., Yan, M., Liu, H., Basodi, S.: A survey on algorithms for intelligent computing and smart city applications. Big Data Mining Analytics 4(3), 155\u2013172 (2021)","journal-title":"Big Data Mining Analytics"},{"issue":"3","key":"939_CR29","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TSE.2017.2681667","volume":"44","author":"Y Wang","year":"2017","unstructured":"Wang, Y., He, Q., Ye, D., Yang, Y.: Formulating criticality-based cost-effective fault tolerance strategies for multi-tenant service-based systems. IEEE Trans. Softw. Eng. 44(3), 291\u2013307 (2017)","journal-title":"IEEE Trans. Softw. Eng."},{"issue":"3","key":"939_CR30","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1109\/TMC.2019.2957804","volume":"20","author":"S Wang","year":"2021","unstructured":"Wang, S., Guo, Y., Zhang, N., Yang, P., Zhou, A., Shen, X.S.: Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach. IEEE Trans. Mobile Comput. 20(3), 939\u2013951 (2021)","journal-title":"IEEE Trans. Mobile Comput."},{"issue":"1","key":"939_CR31","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1109\/JSAC.2020.3036946","volume":"39","author":"X Wang","year":"2020","unstructured":"Wang, X., Li, R., Wang, C., Li, X., Taleb, T., Leung, Victor CM: Attention-weighted federated deep reinforcement learning for device-to-device assisted heterogeneous collaborative edge caching. IEEE J. Select. Areas Commun. 39(1), 154\u2013169 (2020)","journal-title":"IEEE J. Select. Areas Commun."},{"key":"939_CR32","unstructured":"Wang, Z., Schaul, T., Hessel, M., Hasselt, H., Lanctot, M., Freitas, N.: Dueling network architectures for deep reinforcement learning. In: International Conference on Machine Learning, pp 1995\u20132003. PMLR (2016)"},{"issue":"6","key":"939_CR33","doi-asserted-by":"publisher","first-page":"918","DOI":"10.26599\/TST.2021.9010029","volume":"26","author":"D Wei","year":"2021","unstructured":"Wei, D., Ning, H., Shi, F., Wan, Y., Xu, J., Yang, S., Zhu, L.: Dataflow management in the internet of things: Sensing, control, and security. Tsinghua Sci. Technol. 26(6), 918\u2013930 (2021)","journal-title":"Tsinghua Sci. Technol."},{"issue":"1","key":"939_CR34","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/TPDS.2020.3010521","volume":"32","author":"X Xia","year":"2020","unstructured":"Xia, X., Chen, F., He, Q., Grundy, J.C, Abdelrazek, M., Jin, H.: Cost-effective app data distribution in edge computing. IEEE Trans. Parall. Distrib. Syst 32(1), 31\u201344 (2020)","journal-title":"IEEE Trans. Parall. Distrib. Syst"},{"issue":"1","key":"939_CR35","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1109\/TCCN.2019.2954391","volume":"6","author":"Z Xie","year":"2019","unstructured":"Xie, Z., Chen, W.: Storage-efficient edge caching with asynchronous user requests. IEEE Trans. Cognit. Commun. Netw. 6(1), 229\u2013241 (2019)","journal-title":"IEEE Trans. Cognit. Commun. Netw."},{"issue":"6","key":"939_CR36","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1109\/JSAC.2020.2986615","volume":"38","author":"X Xiong","year":"2020","unstructured":"Xiong, X., Zheng, K., Lei, L., Hou, L u: Resource allocation based on deep reinforcement learning in iot edge computing. IEEE J. Select. Areas Commun. 38(6), 1133\u20131146 (2020)","journal-title":"IEEE J. Select. Areas Commun."},{"issue":"5","key":"939_CR37","doi-asserted-by":"publisher","first-page":"4084","DOI":"10.1109\/JIOT.2019.2959124","volume":"7","author":"X Xu","year":"2019","unstructured":"Xu, X., Xihua, L., Xu, Z., Fei, D., Xuyun, Z., Lianyong, Q.: Trust-oriented iot service placement for smart cities in edge computing. IEEE Internet Things J. 7(5), 4084\u20134091 (2019)","journal-title":"IEEE Internet Things J."},{"key":"939_CR38","doi-asserted-by":"crossref","unstructured":"Xu, Z., Wang, S., Liu, S., Dai, H., Xia, Q., Liang, W., Wu, G.: Learning for exception: Dynamic service caching in 5g-enabled mecs with bursty user demands. In: 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), pp 1079\u20131089. IEEE (2020)","DOI":"10.1109\/ICDCS47774.2020.00098"},{"issue":"8","key":"939_CR39","doi-asserted-by":"publisher","first-page":"5467","DOI":"10.1109\/TII.2019.2953189","volume":"16","author":"K Zhang","year":"2019","unstructured":"Zhang, K., Cao, J., Liu, H., Maharjan, S., Zhang, Y.: Deep reinforcement learning for social-aware edge computing and caching in urban informatics. IEEE Trans. Industr. Informat. 16(8), 5467\u20135477 (2019)","journal-title":"IEEE Trans. Industr. Informat."},{"issue":"12","key":"939_CR40","doi-asserted-by":"publisher","first-page":"12314","DOI":"10.1109\/TVT.2019.2947334","volume":"68","author":"T Zhang","year":"2019","unstructured":"Zhang, T., Fang, X., Liu, Y., Li, G.Y., Xu, W.: D2d-enabled mobile user edge caching: A multi-winner auction approach. IEEE Trans. Veh. Technol. 68(12), 12314\u201312328 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"1","key":"939_CR41","doi-asserted-by":"publisher","first-page":"95","DOI":"10.26599\/TST.2019.9010044","volume":"26","author":"W Zhang","year":"2020","unstructured":"Zhang, W., Chen, X., Jiang, J.: A multi-objective optimization method of initial virtual machine fault-tolerant placement for star topological data centers of cloud systems. Tsinghua Sci. Technol. 26(1), 95\u2013111 (2020)","journal-title":"Tsinghua Sci. Technol."},{"issue":"6","key":"939_CR42","doi-asserted-by":"publisher","first-page":"9951","DOI":"10.1109\/JIOT.2019.2933587","volume":"6","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y., Meng, L., Xue, X., Zhou, Z., Tomiyama, H.: Qoe-constrained concurrent request optimization through collaboration of edge servers. IEEE Internet Things J. 6(6), 9951\u20139962 (2019)","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"939_CR43","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/TCCN.2020.2968326","volume":"6","author":"C Zhong","year":"2020","unstructured":"Zhong, C., Gursoy, M, Velipasalar, S.: Deep reinforcement learning-based edge caching in wireless networks. IEEE Trans. Cogn. Commun. Netw. 6 (1), 48\u201361 (2020)","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"issue":"6","key":"939_CR44","doi-asserted-by":"publisher","first-page":"5308","DOI":"10.1109\/TVT.2021.3077893","volume":"70","author":"X Zhou","year":"2021","unstructured":"Zhou, X., Liang, W., She, J., Yan, Z., Wang, K.I.-K.: Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles. IEEE Trans. Veh. Technol. 70(6), 5308\u20135317 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"8","key":"939_CR45","doi-asserted-by":"publisher","first-page":"5790","DOI":"10.1109\/TII.2020.3047675","volume":"17","author":"X Zhou","year":"2020","unstructured":"Zhou, X., Liang, W., Shimizu, S., Ma, J., Jin, Q.: Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems. IEEE Trans. Industr. Inform. 17(8), 5790\u20135798 (2020)","journal-title":"IEEE Trans. Industr. Inform."}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-021-00939-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11280-021-00939-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-021-00939-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T06:15:49Z","timestamp":1665036949000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11280-021-00939-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,24]]},"references-count":45,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["939"],"URL":"https:\/\/doi.org\/10.1007\/s11280-021-00939-7","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,24]]},"assertion":[{"value":"14 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 August 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}