{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:03:22Z","timestamp":1787234602934,"version":"build-2736575974"},"publisher-location":"Singapore","reference-count":46,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811552311","type":"print"},{"value":"9789811552328","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-5232-8_62","type":"book-chapter","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T12:02:53Z","timestamp":1588939373000},"page":"723-737","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Challenges and Limitation of Resource Allocation in Cloud Computing"],"prefix":"10.1007","author":[{"given":"Sadia","family":"Ijaz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tauqeer","family":"Safdar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanullah","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,9]]},"reference":[{"key":"62_CR1","first-page":"1","volume":"1","author":"S Sharma","year":"2014","unstructured":"Sharma, S., Pariha, D.: A review on resource allocation in cloud computing. Int. J. Adv. Res. Ideas Innov. Technol. 1, 1\u20137 (2014)","journal-title":"Int. J. Adv. Res. Ideas Innov. Technol."},{"key":"62_CR2","doi-asserted-by":"crossref","unstructured":"Ngenzi, A., Nair, S.R.: Dynamic resource management in Cloud datacenters for Server consolidation. arXiv preprint \narXiv:1505.00577\n\n (2015)","DOI":"10.3850\/978-981-09-4426-1_004"},{"key":"62_CR3","unstructured":"Magurawalage, C.S., Yang, K., Patrik, R., Georgiades, M., Wang, K.: A resource management protocol for mobile cloud using auto-scaling. arXiv preprint \narXiv:1701.00384\n\n (2017)"},{"issue":"9","key":"62_CR4","doi-asserted-by":"publisher","first-page":"8769","DOI":"10.1109\/TVT.2018.2846232","volume":"67","author":"X Chen","year":"2018","unstructured":"Chen, X., Li, W., Lu, S., Zhou, Z., Fu, X.: Efficient resource allocation for on-demand mobile-edge cloud computing. IEEE Trans. Veh. Technol. 67(9), 8769\u20138780 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"62_CR5","doi-asserted-by":"crossref","unstructured":"Nguyen, T., Bao, L.L.: Joint computation offloading and resource allocation in cloud based wireless HetNets. In: GLOBECOM 2017 IEEE Global Communications Conference. IEEE (2017)","DOI":"10.1109\/GLOCOM.2017.8254705"},{"key":"62_CR6","doi-asserted-by":"crossref","unstructured":"Nguyen, T.T., Long, B.L.: Joint computation offloading and resource allocation in cloud based wireless HetNets. arXiv preprint \narXiv:1812.04711\n\n (2018)","DOI":"10.1109\/GLOCOM.2017.8254705"},{"key":"62_CR7","unstructured":"Ali, S.A., Alam, M.: Resource-Aware Min-Min (RAMM) algorithm for resource allocation in cloud computing environment. arXiv preprint \narXiv:1803.00045\n\n (2018)"},{"key":"62_CR8","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.mechatronics.2017.10.010","volume":"50","author":"Z Li","year":"2018","unstructured":"Li, Z., Chu, T., Kolmanovsky, I.V., Yin, X., Yin, X.: Cloud resource allocation for cloud-based automotive applications. Mechatronics 50, 356\u2013365 (2018)","journal-title":"Mechatronics"},{"key":"62_CR9","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.jnca.2019.06.002","volume":"142","author":"M Ghobaei-Arani","year":"2019","unstructured":"Ghobaei-Arani, M., Khorsand, R., Ramezanpour, M.: An autonomous resource provisioning framework for massively multiplayer online games in cloud environment. J. Netw. Comput. Appl. 142, 76\u201397 (2019)","journal-title":"J. Netw. Comput. Appl."},{"key":"62_CR10","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.procs.2015.03.180","volume":"47","author":"AT Saraswathi","year":"2015","unstructured":"Saraswathi, A.T., Kalaashri, Y.R., Padmavathi, S.: Dynamic resource allocation scheme in cloud computing. Procedia Comput. Sci. 47, 30\u201336 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"5","key":"62_CR11","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.future.2011.04.017","volume":"28","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Fut. Gener. Comput. Syst. 28(5), 755\u2013768 (2012)","journal-title":"Fut. Gener. Comput. Syst."},{"issue":"6","key":"62_CR12","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.future.2008.12.001","volume":"25","author":"R Buyya","year":"2009","unstructured":"Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Fut. Gener. Comput. Syst. 25(6), 599\u2013616 (2009)","journal-title":"Fut. Gener. Comput. Syst."},{"issue":"9","key":"62_CR13","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1016\/j.advengsoft.2011.05.007","volume":"42","author":"L Wang","year":"2011","unstructured":"Wang, L., Kunze, M., Tao, J., von Laszewski, G.: Towards building a cloud for scientific applications. Adv. Eng. Softw. 42(9), 714\u2013722 (2011)","journal-title":"Adv. Eng. Softw."},{"issue":"2","key":"62_CR14","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s00354-008-0081-5","volume":"28","author":"L Wang","year":"2010","unstructured":"Wang, L., et al.: Cloud computing: a perspective study. New Gener. Comput. 28(2), 137\u2013146 (2010)","journal-title":"New Gener. Comput."},{"issue":"2","key":"62_CR15","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s00354-009-0077-9","volume":"28","author":"L Wang","year":"2010","unstructured":"Wang, L., Fu, C.: Research advances in modern cyber infrastructure. New Gener. Comput. 28(2), 111\u2013112 (2010)","journal-title":"New Gener. Comput."},{"key":"62_CR16","doi-asserted-by":"crossref","unstructured":"Voorsluys, W., Broberg, J., Buyya, R.: Introduction to cloud computing. In: Cloud computing, pp. 1\u201341 (2011)","DOI":"10.1002\/9780470940105.ch1"},{"key":"62_CR17","doi-asserted-by":"crossref","unstructured":"Younge, A.J., Von, L.G., Wang, L., Lopez-Alarcon, S., Carithers, W.: Efficient resource management for cloud computing environments. In: International Conference on Green Computing, pp. 357\u2013364. IEEE (2010)","DOI":"10.1109\/GREENCOMP.2010.5598294"},{"issue":"9","key":"62_CR18","doi-asserted-by":"publisher","first-page":"814","DOI":"10.17485\/ijst\/2015\/v8i9\/50180","volume":"8","author":"K Shyamala","year":"2015","unstructured":"Shyamala, K., Rani, T.S.: An analysis on efficient resource allocation mechanisms in cloud computing. Indian J. Sci. Technol. 8(9), 814 (2015)","journal-title":"Indian J. Sci. Technol."},{"key":"62_CR19","doi-asserted-by":"crossref","unstructured":"Liu, N., et al.: A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning. In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 372\u2013382. IEEE (2017)","DOI":"10.1109\/ICDCS.2017.123"},{"key":"62_CR20","doi-asserted-by":"crossref","unstructured":"Arfeen, M.A., Pawlikowski, K., Willig, A.: A framework for resource allocation strategies in cloud computing environment. In: 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops, pp. 261\u2013266. IEEE (2011)","DOI":"10.1109\/COMPSACW.2011.52"},{"key":"62_CR21","doi-asserted-by":"crossref","unstructured":"Singh, P., Talwariya, A., Kolhe, M.: Demand response management in the presence of renewable energy sources using Stackelberg game theory. In: IOP Conference Series: Materials Science and Engineering, vol. 605, 1, no. 1, p. 012004. IOP Publishing (2019)","DOI":"10.1088\/1757-899X\/605\/1\/012004"},{"issue":"7\u20138","key":"62_CR22","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s12243-018-0649-0","volume":"73","author":"N Mohan","year":"2018","unstructured":"Mohan, N., Kangasharju, J.: Placing it right!: optimizing energy, processing, and transport in Edge-Fog clouds. Ann. Telecommun. 73(7\u20138), 463\u2013474 (2018)","journal-title":"Ann. Telecommun."},{"key":"62_CR23","unstructured":"Brady, S.J.: Dynamic resource allocation with forecasting in virtualized environments. U.S. Patent Application No. 10\/203,991 (2019)"},{"key":"62_CR24","doi-asserted-by":"crossref","unstructured":"Sun, P., Zhang, H., Ji, H., Li, X.: Task allocation for Multi-APs with mobile edge computing. In: 2018 IEEE\/CIC International Conference on Communications in China (ICCC Workshops), pp. 314\u2013318. IEEE (2018)","DOI":"10.1109\/ICCChinaW.2018.8674512"},{"key":"62_CR25","doi-asserted-by":"crossref","unstructured":"Kesidis, G.: Scheduling distributed resources in heterogeneous private clouds. In: 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE (2018)","DOI":"10.1109\/MASCOTS.2018.00018"},{"key":"62_CR26","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.future.2016.06.009","volume":"78","author":"L Wang","year":"2018","unstructured":"Wang, L., Ma, Y., Yan, J., Chang, V., Zomaya, A.Y.: pipsCloud: high performance cloud computing for remote sensing big data management and processing. Fut. Gener. Comput. Syst. 78, 353\u2013368 (2018)","journal-title":"Fut. Gener. Comput. Syst."},{"issue":"31","key":"62_CR27","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.tej.2018.01.009","volume":"2","author":"A Vafamehr","year":"2018","unstructured":"Vafamehr, A., Mohammad, E.K.: Energy-aware cloud computing. Electr. J. 2(31), 40\u201349 (2018)","journal-title":"Electr. J."},{"key":"62_CR28","doi-asserted-by":"crossref","unstructured":"Khosravi, A., Rajkumar, B.: Energy and carbon footprint-aware management of geo-distributed cloud data centers: a taxonomy, state of the art, and future directions. In: Sustainable Development: Concepts, Methodologies, Tools, and Applications, pp. 1456\u20131475. IGI Global (2018)","DOI":"10.4018\/978-1-5225-3817-2.ch064"},{"key":"62_CR29","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.future.2018.08.032","volume":"90","author":"M Habibi","year":"2019","unstructured":"Habibi, M., Mohammad, A., Ali, M.: Efficient distribution of requests in federated cloud computing environments utilizing statistical multiplexing. Fut. Gener. Comput. Syst. 90, 451\u2013460 (2019)","journal-title":"Fut. Gener. Comput. Syst."},{"key":"62_CR30","doi-asserted-by":"crossref","unstructured":"Kumar, D., Deepti, M., Rohit, B.: Metaheuristic policies for discovery task programming matters in cloud computing. In: 2018 4th International Conference on Computing Communication and Automation (ICCCA). IEEE (2018)","DOI":"10.1109\/CCAA.2018.8777579"},{"key":"62_CR31","series-title":"Studies in Big Data","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-73676-1_1","volume-title":"Cloud Computing for Optimization: Foundations, Applications, and Challenges","author":"J Nayak","year":"2018","unstructured":"Nayak, J., Naik, B., Jena, A.K., Barik, R.K., Das, H.: Nature inspired optimizations in cloud computing: applications and challenges. In: Mishra, B.S.P., Das, H., Dehuri, S., Jagadev, A.K. (eds.) Cloud Computing for Optimization: Foundations, Applications, and Challenges. SBD, vol. 39, pp. 1\u201326. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-319-73676-1_1"},{"key":"62_CR32","doi-asserted-by":"crossref","unstructured":"Yan, H., Ping, Y., Duo, L.: Study on deep unsupervised learning optimization algorithm based on cloud computing. In: 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE (2019)","DOI":"10.1109\/ICITBS.2019.00168"},{"key":"62_CR33","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.future.2018.08.005","volume":"91","author":"A Megahed","year":"2019","unstructured":"Megahed, A., et al.: Optimizing cloud solutioning design. Fut. Gener. Comput. Syst. 91, 86\u201395 (2019)","journal-title":"Fut. Gener. Comput. Syst."},{"key":"62_CR34","unstructured":"Mohammed, R.M.: Notavailable. Storage allocation scheme for virtual instances of cloud computing (2019)"},{"issue":"1","key":"62_CR35","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/3284387","volume":"52","author":"J Wang","year":"2019","unstructured":"Wang, J., Pan, J., Esposito, F., Calyam, P., Yang, Z., Mohapatra, P.: Edge cloud offloading algorithms: Issues, methods, and perspectives. ACM Comput. Surv. (CSUR) 52(1), 2 (2019)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"62_CR36","first-page":"2088","volume":"9","author":"SM Javadi-Moghaddam","year":"2019","unstructured":"Javadi-Moghaddam, S.M., Alipour, S.: Resource allocation in cloud computing using advanced imperialist competitive algorithm. Int. J. Electr. Comput. Eng. 9, 2088\u20138708 (2019)","journal-title":"Int. J. Electr. Comput. Eng."},{"issue":"7","key":"62_CR37","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1007\/s00607-014-0407-8","volume":"98","author":"A Hameed","year":"2016","unstructured":"Hameed, A., et al.: A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing 98(7), 751\u2013774 (2016)","journal-title":"Computing"},{"issue":"1","key":"62_CR38","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/2797211","volume":"48","author":"Z\u00c1 Mann","year":"2015","unstructured":"Mann, Z.\u00c1.: Allocation of virtual machines in cloud data centers\u2014a survey of problem models and optimization algorithms. Acm Comput. Surv. (CSUR). 48(1), 11 (2015)","journal-title":"Acm Comput. Surv. (CSUR)."},{"issue":"12","key":"62_CR39","doi-asserted-by":"publisher","first-page":"2672","DOI":"10.1109\/TPDS.2018.2846234","volume":"29","author":"D Cheng","year":"2018","unstructured":"Cheng, D.: Adaptive scheduling parallel jobs with dynamic batching in spark streaming. IEEE Trans. Parallel Distrib. Syst. 29(12), 2672\u20132685 (2018)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"067","key":"62_CR40","first-page":"802","volume":"10","author":"F Nguyen","year":"2018","unstructured":"Nguyen, F., Elias, F.: Red Hat Inc. Hybrid security batch processing in a cloud environment. U.S. Patent Appl. 10(067), 802 (2018)","journal-title":"U.S. Patent Appl."},{"issue":"17","key":"62_CR41","doi-asserted-by":"publisher","first-page":"5221","DOI":"10.1002\/cpe.5221","volume":"31","author":"S Ilager","year":"2019","unstructured":"Ilager, S., Kotagiri, R., Rajkumar, B.: ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurr. Comput. Pract. Exp. 31(17), 5221 (2019)","journal-title":"Concurr. Comput. Pract. Exp."},{"issue":"3","key":"62_CR42","first-page":"39","volume":"48","author":"S Singh","year":"2015","unstructured":"Singh, S., Chana, I.: QoS-aware autonomic resource management in cloud computing: a systematic review. ACM Comput. Surv. 48(3), 39 (2015)","journal-title":"ACM Comput. Surv."},{"key":"62_CR43","doi-asserted-by":"publisher","unstructured":"Singh, S., Chana, I.: Q-aware: quality of service based cloud resource provisioning. Comput. Electr. Eng. J. Elsevier (2015). \nhttps:\/\/doi.org\/10.1016\/j.compeleceng.2015\/02\/003","DOI":"10.1016\/j.compeleceng.2015\/02\/003"},{"issue":"1","key":"62_CR44","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s11227-014-1295-6","volume":"71","author":"S Singh","year":"2015","unstructured":"Singh, S., Chana, I.: QRSF: QoS-aware resource scheduling framework in cloud computing. J. Supercomput. 71(1), 241\u2013292 (2015)","journal-title":"J. Supercomput."},{"key":"62_CR45","series-title":"Computer Communications and Networks","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-319-10530-7_3","volume-title":"Cloud Computing","author":"I Chana","year":"2014","unstructured":"Chana, I., Singh, S.: Quality of service and service level agreements for cloud environments: issues and challenges. In: Mahmood, Z. (ed.) Cloud Computing. CCN, pp. 51\u201372. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-10530-7_3"},{"key":"62_CR46","doi-asserted-by":"crossref","unstructured":"Yu, R., Yan, Z., Stein, G., Wenlong, X., Kun, Y.: Toward cloud-based vehicular networks with efficient resource management. \narXiv:1308.6208\n\n. arXiv (2013)","DOI":"10.1109\/MNET.2013.6616115"}],"container-title":["Communications in Computer and Information Science","Intelligent Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5232-8_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T12:12:21Z","timestamp":1588939941000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5232-8_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811552311","9789811552328"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5232-8_62","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bahawalpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pakistan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/jdconline.net\/intap\/index.html","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"224","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":"60","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":"6","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":"27% - 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":"5","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)"}},{"value":"1 Invited Paper","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}