{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:37:19Z","timestamp":1767141439246,"version":"build-2238731810"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10586-021-03526-7","type":"journal-article","created":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T05:02:48Z","timestamp":1642222968000},"page":"495-512","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["High-performance pseudo-anonymization of virtual power plant data on a CPU cluster"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5373-5778","authenticated-orcid":false,"given":"Mahdi","family":"Abbasi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azam Fazel","family":"Najafabadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seifeddine Ben","family":"Elghali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Zerrougui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad R.","family":"Khosravi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Habib","family":"Nasser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,15]]},"reference":[{"key":"3526_CR1","doi-asserted-by":"publisher","first-page":"110607","DOI":"10.1016\/j.rser.2020.110607","volume":"137","author":"M Yazdanie","year":"2021","unstructured":"Yazdanie, M., Orehounig, K.: Advancing urban energy system planning and modeling approaches: gaps and solutions in perspective. Renew. Sustain. Energy Rev. 137, 110607 (2021)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"3526_CR2","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1049\/iet-its.2019.0783","volume":"14","author":"M Abbasi","year":"2020","unstructured":"Abbasi, M., Yaghoobikia, M., Rafiee, M., Jolfaei, A., Khosravi, M.R.: Energy-efficient workload allocation in fog-cloud based services of intelligent transportation systems using a learning classifier system. IET Intel. Transport Syst. 14, 1484\u20131490 (2020)","journal-title":"IET Intel. Transport Syst."},{"key":"3526_CR3","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1049\/iet-rpg:20060023","volume":"1","author":"D Pudjianto","year":"2007","unstructured":"Pudjianto, D., Ramsay, C., Strbac, G.: Virtual power plant and system integration of distributed energy resources. IET Renew. Power Gener. 1, 10\u201316 (2007)","journal-title":"IET Renew. Power Gener."},{"key":"3526_CR4","doi-asserted-by":"crossref","unstructured":"Saboori, H., Mohammadi, M., Taghe, R.: Virtual power plant (VPP), definition, concept, components and types. In: 2011 Asia-Pacific Power and Energy Engineering Conference, pp. 1\u20134 (2011)","DOI":"10.1109\/APPEEC.2011.5749026"},{"key":"3526_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., Li, T., Zhao, C., Wei, W.: Decentralized provision of renewable predictions within a virtual power plant. IEEE Transactions on Power Systems (2020)","DOI":"10.1109\/PESGM46819.2021.9638173"},{"key":"3526_CR6","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1016\/j.apenergy.2019.01.224","volume":"239","author":"S Yu","year":"2019","unstructured":"Yu, S., Fang, F., Liu, Y., Liu, J.: Uncertainties of virtual power plant: problems and countermeasures. Appl. Energy 239, 454\u2013470 (2019)","journal-title":"Appl. Energy"},{"key":"3526_CR7","first-page":"263","volume":"23","author":"SK Venkatachary","year":"2020","unstructured":"Venkatachary, S.K., Prasad, J., Samikannu, R., Alagappan, A., Andrews, L.J.B.: Cybersecurity infrastructure challenges in IoT based virtual power plants. J. Stat. Manag. Syst. 23, 263\u2013276 (2020)","journal-title":"J. Stat. Manag. Syst."},{"issue":"3","key":"3526_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12083-020-01059-1","volume":"14","author":"E Batista","year":"2021","unstructured":"Batista, E., Solanas, A.: A uniformization-based approach to preserve individuals\u2019 privacy during process mining analyses. Peer-to-Peer Netw. Appl. 14(3), 1\u201320 (2021)","journal-title":"Peer-to-Peer Netw. Appl."},{"key":"3526_CR9","first-page":"1","volume":"54","author":"H Jiang","year":"2021","unstructured":"Jiang, H., Li, J., Zhao, P., Zeng, F., Xiao, Z., Iyengar, A.: Location privacy-preserving mechanisms in location-based services: a comprehensive survey. ACM Comput. Surv. 54, 1\u201336 (2021)","journal-title":"ACM Comput. Surv."},{"key":"3526_CR10","doi-asserted-by":"publisher","first-page":"101544","DOI":"10.1016\/j.giq.2020.101544","volume":"38","author":"J-S Lee","year":"2021","unstructured":"Lee, J.-S., Jun, S.-P.: Privacy-preserving data mining for open government data from heterogeneous sources. Gov. Inf. Q. 38, 101544 (2021)","journal-title":"Gov. Inf. Q."},{"key":"3526_CR11","doi-asserted-by":"publisher","first-page":"101426","DOI":"10.1016\/j.scs.2019.101426","volume":"46","author":"M Alamaniotis","year":"2019","unstructured":"Alamaniotis, M., Bourbakis, N., Tsoukalas, L.H.: Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms. Sustain. Cities Soc. 46, 101426 (2019)","journal-title":"Sustain. Cities Soc."},{"key":"3526_CR12","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/B978-0-12-812154-2.00011-0","volume-title":"Smart Power Distribution Systems","author":"M Zajc","year":"2019","unstructured":"Zajc, M., Kolenc, M., Suljanovi\u0107, N.: 11\u2014Virtual power plant communication system architecture. In: Yang, Q., Yang, T., Li, W. (eds.) Smart Power Distribution Systems, pp. 231\u2013250. Academic Press, New York (2019)"},{"key":"3526_CR13","doi-asserted-by":"publisher","first-page":"39","DOI":"10.4258\/hir.2021.27.1.39","volume":"27","author":"S Syed","year":"2021","unstructured":"Syed, S., Syed, M., Syeda, H.B., Garza, M., Bennett, W., Bona, J., et al.: API driven on-demand participant ID pseudonymization in heterogeneous multi-study research. Healthc. Inform. Res. 27, 39\u201347 (2021)","journal-title":"Healthc. Inform. Res."},{"key":"3526_CR14","doi-asserted-by":"crossref","unstructured":"Abbasi, M., Najafi, A., Rafiee, M., Khosravi, M.R., Menon, V.G., Muhammad, G.: Efficient flow processing in 5G-envisioned SDN-based Internet of Vehicles using GPUs. IEEE Trans. Intell. Transp. Syst. (2020)","DOI":"10.1109\/TITS.2020.3038250"},{"key":"3526_CR15","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1007\/s10586-020-03081-7","volume":"23","author":"M Abbasi","year":"2020","unstructured":"Abbasi, M., Shokrollahi, A.: Enhancing the performance of decision tree-based packet classification algorithms using CPU cluster. Clust. Comput. 23, 3203\u20133219 (2020)","journal-title":"Clust. Comput."},{"key":"3526_CR16","doi-asserted-by":"publisher","first-page":"3105","DOI":"10.1007\/s11227-019-03090-3","volume":"76","author":"M Abbasi","year":"2020","unstructured":"Abbasi, M., Fazel, S.V., Rafiee, M.: MBitCuts: optimal bit-level cutting in geometric space packet classification. J. Supercomput. 76, 3105\u20133128 (2020)","journal-title":"J. Supercomput."},{"key":"3526_CR17","doi-asserted-by":"publisher","first-page":"e185","DOI":"10.7717\/peerj-cs.185","volume":"5","author":"M Abbasi","year":"2019","unstructured":"Abbasi, M., Tahouri, R., Rafiee, M.: Enhancing the performance of the aggregated bit vector algorithm in network packet classification using GPU. PeerJ Comput. Sci. 5, e185 (2019)","journal-title":"PeerJ Comput. Sci."},{"key":"3526_CR18","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1145\/1108956.1108958","volume":"37","author":"DE Taylor","year":"2005","unstructured":"Taylor, D.E.: Survey and taxonomy of packet classification techniques. ACM Comput. Surv. 37, 238\u2013275 (2005)","journal-title":"ACM Comput. Surv."},{"key":"3526_CR19","doi-asserted-by":"crossref","unstructured":"Henty, D.S.: Performance of hybrid message-passing and shared-memory parallelism for discrete element modeling. In: Proceedings of the 2000 ACM\/IEEE conference on Supercomputing, p. 10 (2000)","DOI":"10.1109\/SC.2000.10005"},{"key":"3526_CR20","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.comcom.2006.08.032","volume":"30","author":"D Pao","year":"2007","unstructured":"Pao, D., Liu, C.: Parallel tree search: an algorithmic approach for multi-field packet classification. Comput. Commun. 30, 302\u2013314 (2007)","journal-title":"Comput. Commun."},{"key":"3526_CR21","doi-asserted-by":"crossref","unstructured":"Nottingham, A., Irwin, B.: Parallel packet classification using GPU co-processors. In: Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, pp. 231\u2013241 (2010)","DOI":"10.1145\/1899503.1899529"},{"key":"3526_CR22","doi-asserted-by":"crossref","unstructured":"Hung, C.-L., Lin, Y.-L., Li, K.-C., Wang, H.-H., Guo, S.-W.: Efficient GPGPU-based parallel packet classification, Presented at the Trust, Security and Privacy in Computing and Communications (TrustCom) (2011)","DOI":"10.1109\/TrustCom.2011.186"},{"key":"3526_CR23","doi-asserted-by":"publisher","first-page":"198","DOI":"10.2991\/ijndc.2014.2.4.1","volume":"2","author":"C-L Hung","year":"2014","unstructured":"Hung, C.-L., Guo, S.-W.: Fast parallel network packet filter system based on CUDA. Int. J. Netw. Distrib. Comput. 2, 198\u2013210 (2014)","journal-title":"Int. J. Netw. Distrib. Comput."},{"key":"3526_CR24","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.sysarc.2014.01.007","volume":"60","author":"C-L Hung","year":"2014","unstructured":"Hung, C.-L., Lin, C.-Y., Wang, H.-H.: An efficient parallel-network packet pattern-matching approach using GPUs. J. Syst. Architect. 60, 431\u2013439 (2014)","journal-title":"J. Syst. Architect."},{"key":"3526_CR25","doi-asserted-by":"crossref","unstructured":"Srinivasan, V., Suri, S., Varghese, G.: Packet classification using tuple space search. In: Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 135\u2013146 (1999)","DOI":"10.1145\/316194.316216"},{"key":"3526_CR26","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jpdc.2018.02.027","volume":"117","author":"P L\u00f3pez","year":"2018","unstructured":"L\u00f3pez, P., Baydal, E.: Teaching high-performance service in a cluster computing course. J. Parallel Distrib. Comput. 117, 138\u2013147 (2018)","journal-title":"J. Parallel Distrib. Comput."},{"key":"3526_CR27","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1145\/3284358","volume":"51","author":"JA Rico-Gallego","year":"2019","unstructured":"Rico-Gallego, J.A., D\u00edaz-Mart\u00edn, J.C., Manumachu, R.R., Lastovetsky, A.L.: A survey of communication performance models for high-performance computing. ACM Comput. Surv. 51, 126 (2019)","journal-title":"ACM Comput. Surv."},{"key":"3526_CR28","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/S1383-7621(97)00036-2","volume":"44","author":"X Wu","year":"1998","unstructured":"Wu, X., Li, W.: Performance models for scalable cluster computing. J. Syst. Architect. 44, 189\u2013205 (1998)","journal-title":"J. Syst. Architect."},{"key":"3526_CR29","doi-asserted-by":"crossref","unstructured":"Martin, R.P., Vahdat, A.M., Culler, D.E., Anderson, T.E.: Effects of communication latency, overhead, and bandwidth in a cluster architecture. In: ACM SIGARCH Computer Architecture News, pp. 85\u201397 (1997)","DOI":"10.1145\/384286.264146"},{"key":"3526_CR30","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0167-739X(01)00053-X","volume":"18","author":"R Buyya","year":"2002","unstructured":"Buyya, R., Jin, H., Cortes, T.: Cluster computing. Future Gener. Comput. Syst. 18, 5\u20138 (2002)","journal-title":"Future Gener. Comput. Syst."},{"key":"3526_CR31","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/B978-0-12-809633-8.20370-1","volume-title":"Encyclopedia of bioinformatics and computational biology","author":"D Talia","year":"2019","unstructured":"Talia, D.: Models and languages for high-performance computing. In: Ranganathan, S., Gribskov, M., Nakai, K., Sch\u00f6nbach, C. (eds.) Encyclopedia of bioinformatics and computational biology, pp. 215\u2013220. Academic Press, Oxford (2019)"},{"key":"3526_CR32","first-page":"83","volume":"9","author":"L Smith","year":"2001","unstructured":"Smith, L., Bull, M.: Development of mixed mode MPI\/OpenMP applications. Sci. Program. 9, 83\u201398 (2001)","journal-title":"Sci. Program."},{"key":"3526_CR33","doi-asserted-by":"crossref","unstructured":"Rabenseifner, R., Hager, G., Jost, G.: Hybrid MPI\/OpenMP parallel programming on clusters of multi-core SMP nodes. In: 2009 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, pp. 427\u2013436 (2009)","DOI":"10.1109\/PDP.2009.43"},{"key":"3526_CR34","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/B978-0-12-803899-4.00006-7","volume-title":"Topics in parallel and distributed computing","author":"RE Grant","year":"2015","unstructured":"Grant, R.E., Olivier, S.L.: Chapter 6\u2014Networks and MPI for cluster computing. In: Prasad, S.K., Gupta, A., Rosenberg, A.L., Sussman, A., Weems, C.C. (eds.) Topics in parallel and distributed computing, pp. 117\u2013153. Morgan Kaufmann, Boston (2015)"},{"key":"3526_CR35","doi-asserted-by":"crossref","unstructured":"Nottingham, A., Irwin, B.: GPU packet classification using OpenCL: a consideration of viable classification methods. In: Proceedings of the 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, pp. 160\u2013169 (2009)","DOI":"10.1145\/1632149.1632170"},{"key":"3526_CR36","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1109\/TPDS.2010.195","volume":"22","author":"F Pong","year":"2011","unstructured":"Pong, F., Tzeng, N.-F.: HaRP: rapid packet classification via hashing round-down prefixes. IEEE Trans. Parallel Distrib. Syst. 22, 1105\u20131119 (2011)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"3526_CR37","doi-asserted-by":"crossref","unstructured":"Kang, K., Deng, Y.S.: Scalable packet classification via GPU metaprogramming. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1\u20134 (2011)","DOI":"10.1109\/DATE.2011.5763294"},{"key":"3526_CR38","doi-asserted-by":"crossref","unstructured":"Varvello, M., Laufer, R., Zhang, F., Lakshman, T.: Multi-layer packet classification with graphics processing units. In: Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies, pp. 109\u2013120 (2014)","DOI":"10.1145\/2674005.2674990"},{"key":"3526_CR39","doi-asserted-by":"publisher","first-page":"6574","DOI":"10.1007\/s11227-019-02861-2","volume":"75","author":"M Abbasi","year":"2019","unstructured":"Abbasi, M., Rafiee, M.: A calibrated asymptotic framework for analyzing packet classification algorithms on GPUs. J. Supercomput. 75, 6574\u20136611 (2019)","journal-title":"J. Supercomput."},{"key":"3526_CR40","doi-asserted-by":"crossref","unstructured":"Zhou, S., Qu, Y.R., Prasanna, V.K.: Multi-core implementation of decomposition-based packet classification algorithms. In: International Conference on Parallel Computing Technologies, pp. 105\u2013119 (2013)","DOI":"10.1007\/978-3-642-39958-9_9"},{"key":"3526_CR41","doi-asserted-by":"crossref","unstructured":"Qu, Y.R. et al.: Optimizing many-field packet classification on fpga, multi-core general purpose processor, and gpu. In: Proceedings of the Eleventh ACM\/IEEE Symposium on Architectures for Networking and Communications Systems, pp. 87\u201398 (2015)","DOI":"10.1109\/ANCS.2015.7110123"},{"key":"3526_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.future.2021.08.024","volume":"127","author":"A Razaque","year":"2022","unstructured":"Razaque, A., Jararweh, Y., Alotaibi, B., Alotaibi, M., Hariri, S., Almiani, M.: Energy-efficient and secure mobile fog-based cloud for the Internet of Things. Future Gener. Comput. Syst. 127, 1\u201313 (2022)","journal-title":"Future Gener. Comput. Syst."},{"key":"3526_CR43","doi-asserted-by":"crossref","unstructured":"Seyhan, K. et al.: Lattice-based cryptosystems for the security of resource-constrained IoT devices in post-quantum world: a survey. Clust. Comput. (2021)","DOI":"10.1007\/s10586-021-03380-7"},{"key":"3526_CR44","doi-asserted-by":"crossref","unstructured":"Sah, D.K. et al.: Load-balance scheduling for intelligent sensors deployment in industrial internet of things. Clust. Comput. (2021)","DOI":"10.1007\/s10586-021-03316-1"},{"key":"3526_CR45","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.1007\/s10586-020-03184-1","volume":"24","author":"T Jafarian","year":"2021","unstructured":"Jafarian, T., Masdari, M., Ghaffari, A., Majidzadeh, K.: A survey and classification of the security anomaly detection mechanisms in software defined networks. Clust. Comput. 24, 1235\u20131253 (2021)","journal-title":"Clust. Comput."},{"key":"3526_CR46","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s10586-020-03135-w","volume":"24","author":"M-L Chiang","year":"2021","unstructured":"Chiang, M.-L., et al.: SDN-based server clusters with dynamic load balancing and performance improvement. Clust. Comput. 24, 537\u2013558 (2021)","journal-title":"Clust. Comput."},{"key":"3526_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.parco.2004.12.004","volume":"31","author":"J Hutter","year":"2005","unstructured":"Hutter, J., Curioni, A.: Dual-level parallelism for ab initio molecular dynamics: reaching teraflop performance with the CPMD code. Parallel Comput. 31, 1\u201317 (2005)","journal-title":"Parallel Comput."},{"key":"3526_CR48","doi-asserted-by":"crossref","unstructured":"Cappello, F., Etiemble, D.: MPI versus MPI+ OpenMP on the IBM SP for the NAS Benchmarks. In: Supercomputing, ACM\/IEEE 2000 Conference, p. 12 (2000)","DOI":"10.1109\/SC.2000.10001"},{"key":"3526_CR49","doi-asserted-by":"crossref","unstructured":"Ferretti, M., Santangelo, L.: Hybrid OpenMP-MPI parallelism: porting experiments from small to large clusters. In: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 297\u2013301 (2018)","DOI":"10.1109\/PDP2018.2018.00051"},{"key":"3526_CR50","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.compgeo.2018.11.004","volume":"106","author":"Y-Y Jiao","year":"2019","unstructured":"Jiao, Y.-Y., Zhao, Q., Wang, L., Huang, G.-H., Tan, F.: A hybrid MPI\/OpenMP parallel computing model for spherical discontinuous deformation analysis. Comput. Geotechn. 106, 217\u2013227 (2019)","journal-title":"Comput. Geotechn."},{"key":"3526_CR51","doi-asserted-by":"crossref","unstructured":"Katz, M.J., Papadopoulos, P.M., Bruno, G.: Leveraging standard core technologies to programmatically build linux cluster appliances. In: Proceedings of IEEE International Conference on Cluster Computing, pp. 47\u201353 (2002)","DOI":"10.1109\/CLUSTR.2002.1137728"},{"key":"3526_CR52","doi-asserted-by":"crossref","unstructured":"Taylor, D.E., Turner, J.S.: ClassBench: a packet classification benchmark. In: Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 2068\u20132079 (2005)","DOI":"10.1109\/INFCOM.2005.1498483"},{"key":"3526_CR53","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-662-45402-2_34","volume-title":"Computer Science and its Applications: Ubiquitous Information Technologies","author":"J Zheng","year":"2015","unstructured":"Zheng, J., Zhang, D., Li, Y., Li, G.: Accelerate packet classification using GPU: a case study on HiCuts. In: Park, J.J., Stojmenovic, I., Jeong, H.Y., Yi, G. (eds.) Computer Science and its Applications: Ubiquitous Information Technologies, pp. 231\u2013238. Springer, Berlin (2015)"},{"key":"3526_CR54","doi-asserted-by":"crossref","unstructured":"Zhou, S., Singapura, S.G., Prasanna, V.K.: High-performance packet classification on gpu. In: 2014 IEEE on High Performance Extreme Computing Conference (HPEC), pp. 1\u20136 (2014)","DOI":"10.1109\/HPEC.2014.7041005"}],"updated-by":[{"DOI":"10.1007\/s10586-022-03615-1","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000}}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03526-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03526-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03526-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T06:51:57Z","timestamp":1726469517000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03526-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,15]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3526"],"URL":"https:\/\/doi.org\/10.1007\/s10586-021-03526-7","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,15]]},"assertion":[{"value":"12 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 December 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2022","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s10586-022-03615-1","URL":"https:\/\/doi.org\/10.1007\/s10586-022-03615-1","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}