{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:22:38Z","timestamp":1740140558959,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,10,27]],"date-time":"2020-10-27T00:00:00Z","timestamp":1603756800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,10,27]],"date-time":"2020-10-27T00:00:00Z","timestamp":1603756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"the Key Research and Development Program of Shaanxi Province","award":["No. 2019ZDLGY07-08"],"award-info":[{"award-number":["No. 2019ZDLGY07-08"]}]},{"name":"the Young Teachers Research Foundation of Xi'an University of Posts and Telecommunications"},{"name":"the Special Funds for Construction of Key Disciplines in Universities in Shaanxi"},{"name":"the Special Scientific Research Program of Education Department of Shaanxi Province","award":["No.19JK0806"],"award-info":[{"award-number":["No.19JK0806"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The resource constraint has become an important factor hindering the further development of mobile devices (MDs). Mobile cloud computing (MCC) is a new approach proposed to extend MDs\u2019 capacity and improve their performance by task offloading. In MCC, MDs send task requests to the application service operator (ASO), which provides application services to MDs and needs to determine whether to accept the task request according to the system condition. This paper studies the task admission control problem for ASOs with the consideration of three features (two-dimensional resources, uncertainty, and incomplete information). A task admission control model, which considers radio resource variations, computing, and radio resources, is established based on the semi-Markov decision process with the goal of maximizing the ASO\u2019s profits while guaranteeing the quality of service (QoS). To develop the admission policy, a reinforcement learning-based policy algorithm, which develops the admission policy through system simulations without knowing the complete system information, is proposed. Experimental results show that the established model adaptively adjusts the admission policy to accept or reject different levels and classes of task requests based on the ASO load, available radio resources, and event type. The proposed policy algorithm outperforms the existing policy algorithms and maximizes the ASO\u2019s profits while guaranteeing the QoS.<\/jats:p>","DOI":"10.1186\/s13638-020-01827-w","type":"journal-article","created":{"date-parts":[[2020,10,27]],"date-time":"2020-10-27T08:03:05Z","timestamp":1603785785000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Task admission control for application service operators in mobile cloud computing"],"prefix":"10.1186","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4622-8361","authenticated-orcid":false,"given":"Xiaomin","family":"Jin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqiang","family":"Hua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongmin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,27]]},"reference":[{"key":"1827_CR1","unstructured":"Cisco visual networking index: forecast and trends. https:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/white-paper-c11-741490.html. Accessed 27 Nov 2018."},{"key":"1827_CR2","unstructured":"Internet trend report 2019. https:\/\/techcrunch.com\/2019\/06\/11\/internet-trends-report-2019\/. Accessed 12 June 2019."},{"issue":"4","key":"1827_CR3","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/JSAC.2020.2971871","volume":"38","author":"H. Zhou","year":"2020","unstructured":"H. Zhou, X. Chen, S. He, J. Chen, J. Wu, DRAIM: a novel delay-constraint and reverse auction-based incentive mechanism for WiFi offloading. IEEE J. Sel. Areas Commun.38(4), 711\u2013722 (2020).","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"12","key":"1827_CR4","doi-asserted-by":"publisher","first-page":"2510","DOI":"10.1109\/JSAC.2015.2478718","volume":"33","author":"J. Kwak","year":"2015","unstructured":"J. Kwak, Y. Kim, J. Lee, S. Chong, DREAM: dynamic resource and task allocation for energy minimization in mobile cloud systems. IEEE J. Sel. Areas Commun.33(12), 2510\u20132523 (2015).","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"1827_CR5","doi-asserted-by":"publisher","unstructured":"Y. Cao, T. Jiang, O. Kaiwartya, H. Sun, H. Zhou, R. Wang, Toward pre-empted EV charging recommendation through V2V-based reservation system. IEEE Trans. Syst. Man Cybern. Syst., 10\u2013110920192917149 (2020). https:\/\/doi.org\/10.1109\/TSMC.2019.2917149.","DOI":"10.1109\/TSMC.2019.2917149"},{"key":"1827_CR6","unstructured":"Energy technology perspectives 2017. https:\/\/www.iea.org\/etp\/tracking2017\/energystorage\/. Accessed 16 July 2017."},{"issue":"4","key":"1827_CR7","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.ijinfomgt.2018.09.012","volume":"45","author":"Y. Karaca","year":"2019","unstructured":"Y. Karaca, M. Moonis, Y. Zhang, C. Gezgez, Mobile cloud computing based stroke healthcare system. Int. J. Inf. Manage.45(4), 250\u2013261 (2019).","journal-title":"Int. J. Inf. Manage."},{"key":"1827_CR8","first-page":"5","volume-title":"Proc. of 2019 ACM Int. Conf. Proc. Ser","author":"M. Almasri","year":"2019","unstructured":"M. Almasri, H. Alshareef, in Proc. of 2019 ACM Int. Conf. Proc. Ser. Mobile cloud-based e-payment systems in Saudi Arabia: a case study (ACM PressNew York, 2019), pp. 5\u201310."},{"issue":"1","key":"1827_CR9","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.chb.2018.09.005","volume":"90","author":"I. Arpaci","year":"2019","unstructured":"I. Arpaci, A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education. Comput. Hum. Behav.90(1), 181\u2013187 (2019).","journal-title":"Comput. Hum. Behav."},{"key":"1827_CR10","unstructured":"Mobile cloud market by application-global opportunity analysis and industry forecast. https:\/\/www.researchandmarkets.com\/reports\/4333216\/mobile-cloud-market-by-application-global. Accessed June 2017."},{"issue":"2015","key":"1827_CR11","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.jss.2015.06.005","volume":"107","author":"G. Lewis","year":"2015","unstructured":"G. Lewis, P. Lago, Architectural tactics for cyber-foraging: results of a systematic literature review. J. Syst. Softw.107(2015), 158\u2013186 (2015).","journal-title":"J. Syst. Softw."},{"issue":"4","key":"1827_CR12","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1109\/TMC.2018.2847337","volume":"18","author":"J. Zheng","year":"2019","unstructured":"J. Zheng, Y. Cai, Y. Wu, X. Shen, Dynamic computation offloading for mobile cloud computing: a stochastic game-theoretic approach. IEEE Trans. Mob. Comput.18(4), 771\u2013786 (2019).","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"1827_CR13","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/TCC.2016.2560808","volume":"7","author":"S. E. Mahmoodi","year":"2019","unstructured":"S. E. Mahmoodi, R. N. Uma, K. P. Subbalakshmi, Optimal joint scheduling and cloud offloading for mobile applications. IEEE Trans. Cloud Comput.7(2), 301\u2013313 (2019).","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"20","key":"1827_CR14","doi-asserted-by":"publisher","first-page":"6751","DOI":"10.1007\/s00500-018-3264-0","volume":"22","author":"R. Kumari","year":"2018","unstructured":"R. Kumari, S. Kaushal, N. Chilamkurti, Energy conscious multi-site computation offloading for mobile cloud computing. Soft Comput.22(20), 6751\u20136764 (2018).","journal-title":"Soft Comput."},{"issue":"9","key":"1827_CR15","doi-asserted-by":"publisher","first-page":"2174","DOI":"10.1109\/TMC.2018.2871460","volume":"18","author":"S. T. Hong","year":"2019","unstructured":"S. T. Hong, H. Kim, QoE-aware computation offloading to capture energy-latency-pricing tradeoff in mobile clouds. IEEE Trans. Mob. Comput.18(9), 2174\u20132189 (2019).","journal-title":"IEEE Trans. Mob. Comput."},{"key":"1827_CR16","first-page":"1","volume-title":"Proc. of 2019 Int. Symp. Comput. Commun","author":"A. Hekmati","year":"2019","unstructured":"A. Hekmati, P. Teymoori, T. D. Todd, D. Zhao, G. Karakostas, in Proc. of 2019 Int. Symp. Comput. Commun. Optimal multi-decision mobile computation offloading with hard task deadlines (IEEEPiscataway, 2019), pp. 1\u20138."},{"issue":"4","key":"1827_CR17","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/MC.2010.98","volume":"43","author":"K. Kumar","year":"2010","unstructured":"K. Kumar, Y. Lu, Cloud computing for mobile users: can offloading computation save energy?Computer. 43(4), 51\u201356 (2010).","journal-title":"Computer"},{"issue":"12","key":"1827_CR18","doi-asserted-by":"publisher","first-page":"2685","DOI":"10.1109\/JSAC.2013.131209","volume":"31","author":"R. Kaewpuang","year":"2013","unstructured":"R. Kaewpuang, D. Niyato, P. Wang, E. Hossain, A framework for cooperative resource management in mobile cloud computing. IEEE J. Sel. Areas Commun.31(12), 2685\u20132700 (2013).","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"3","key":"1827_CR19","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1016\/S0377-2217(02)00874-3","volume":"155","author":"A. Gosavi","year":"2004","unstructured":"A. Gosavi, Reinforcement learning for long-run average cost. Eur. J. Oper. Res.155(3), 654\u2013674 (2004).","journal-title":"Eur. J. Oper. Res."},{"issue":"6","key":"1827_CR20","doi-asserted-by":"publisher","first-page":"35611","DOI":"10.1109\/ACCESS.2018.2851392","volume":"6","author":"S. Guo","year":"2018","unstructured":"S. Guo, D. Wu, H. Zhang, D. Yuan, Resource modeling and scheduling for mobile edge computing: a service provider\u2019 perspective. IEEE Access. 6(6), 35611\u201335623 (2018).","journal-title":"IEEE Access"},{"issue":"6","key":"1827_CR21","doi-asserted-by":"publisher","first-page":"2603","DOI":"10.1109\/TCOMM.2018.2799937","volume":"66","author":"X. Lyu","year":"2018","unstructured":"X. Lyu, H. Tian, W. Ni, Y. Zhang, P. Zhang, R. Li, Energy-efficient admission of delay-sensitive tasks for mobile edge computing. IEEE Trans. Commun.66(6), 2603\u20132616 (2018).","journal-title":"IEEE Trans. Commun."},{"key":"1827_CR22","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/SOSE.2015.19","volume-title":"Proc. of 2015 IEEE Int. Symp. Serv.-Oriented Syst. Eng","author":"Y. Liu","year":"2015","unstructured":"Y. Liu, M. J. Lee, in Proc. of 2015 IEEE Int. Symp. Serv.-Oriented Syst. Eng. An adaptive resource allocation algorithm for partitioned services in mobile cloud computing (IEEEPiscataway, 2015), pp. 209\u2013215."},{"issue":"10","key":"1827_CR23","doi-asserted-by":"publisher","first-page":"2398","DOI":"10.1109\/TMC.2015.2504091","volume":"15","author":"Y. Liu","year":"2016","unstructured":"Y. Liu, M. J. Lee, Y. Zheng, Adaptive multi-resource allocation for cloudlet-based mobile cloud computing system. IEEE. Trans. Mob. Comput.15(10), 2398\u20132410 (2016).","journal-title":"IEEE. Trans. Mob. Comput."},{"key":"1827_CR24","first-page":"747","volume-title":"Proc. of 2019 Int. Conf. Parallel Distrib. Syst","author":"J. Wang","year":"2019","unstructured":"J. Wang, Y. Yue, R. Wang, M. Yu, J. Yu, H. Liu, X. Ying, R. Yu, in Proc. of 2019 Int. Conf. Parallel Distrib. Syst. Energy-efficient admission of delay-sensitive tasks for multi-mobile edge computing servers (IEEEPiscataway, 2019), pp. 747\u2013753."},{"issue":"9","key":"1827_CR25","doi-asserted-by":"publisher","first-page":"8769","DOI":"10.1109\/TVT.2018.2846232","volume":"67","author":"X. Chen","year":"2018","unstructured":"X. Chen, W. Li, S. Lu, Z. Zhou, X. Fu, 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."},{"issue":"1","key":"1827_CR26","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/MVT.2018.2883336","volume":"14","author":"Y. Qi","year":"2019","unstructured":"Y. Qi, L. Tian, Y. Zhou, J. Yuan, Mobile edge computing-assisted admission control in vehicular networks: the convergence of communication and computation. IEEE Veh. Technol. Mag.14(1), 37\u201344 (2019).","journal-title":"IEEE Veh. Technol. Mag."},{"key":"1827_CR27","first-page":"727","volume-title":"Proc. of 2015 Int. Wirel. Commun. Mob. Comput. Conf","author":"H. Khojasteh","year":"2015","unstructured":"H. Khojasteh, J. Misic, V. B. Misic, in Proc. of 2015 Int. Wirel. Commun. Mob. Comput. Conf. Task filtering as a task admission control policy in cloud server pools (IEEEPiscataway, 2015), pp. 727\u2013732."},{"key":"1827_CR28","first-page":"1","volume-title":"Proc. of 2016 GLOBECOM","author":"M. Y. Lyazidi","year":"2016","unstructured":"M. Y. Lyazidi, N. Aitsaadi, R. Langar, in Proc. of 2016 GLOBECOM. Resource allocation and admission control in OFDMA-based cloud-RAN (IEEEPiscataway, 2016), pp. 1\u20136."},{"issue":"6","key":"1827_CR29","doi-asserted-by":"publisher","first-page":"4565","DOI":"10.1109\/TVT.2018.2794221","volume":"67","author":"M. Mirahsan","year":"2018","unstructured":"M. Mirahsan, G. Senarath, H. Farmanbar, N. D. Dao, H. Yanikomeroglu, Admission control of wireless virtual networks in HetHetNets. IEEE Trans. Veh. Technol.67(6), 4565\u20134576 (2018).","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"1","key":"1827_CR30","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/s11235-016-0273-0","volume":"66","author":"J. Dromard","year":"2017","unstructured":"J. Dromard, L. Khoukhi, R. Khatoun, Towards combining admission control and link scheduling in wireless mesh networks. Telecommun. Syst.66(1), 9\u201354 (2017).","journal-title":"Telecommun. Syst."},{"issue":"4","key":"1827_CR31","doi-asserted-by":"publisher","first-page":"53314","DOI":"10.1109\/ACCESS.2019.2912396","volume":"7","author":"X. Zhang","year":"2019","unstructured":"X. Zhang, D. Li, W. W. Li, W. Zhao, An optimal dynamic admission control policy and upper bound analysis in wireless sensor networks. IEEE Access. 7(4), 53314\u201353329 (2019).","journal-title":"IEEE Access"},{"issue":"4","key":"1827_CR32","doi-asserted-by":"publisher","first-page":"2945","DOI":"10.1007\/s00521-018-3751-3","volume":"32","author":"F. Shang","year":"2020","unstructured":"F. Shang, D. Zhou, D. He, An admission control algorithm based on matching game and differentiated service in wireless mesh networks. Neural Comput. Appl.32(4), 2945\u20132962 (2020).","journal-title":"Neural Comput. Appl."},{"key":"1827_CR33","first-page":"831","volume-title":"Proc. of 2014 IEEE Int. Adv. Comput. Conf","author":"G. Baranwal","year":"2014","unstructured":"G. Baranwal, D. P. Vidyarthi, in Proc. of 2014 IEEE Int. Adv. Comput. Conf. A framework for selection of best cloud service provider using ranked voting method (IEEEPiscataway, 2014), pp. 831\u2013837."},{"key":"1827_CR34","volume-title":"Applied Markov Decision Processes","author":"K. Liu","year":"2004","unstructured":"K. Liu, Applied Markov Decision Processes (Tsinghua University Press, Beijing, 2004)."},{"issue":"4598","key":"1827_CR35","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S. Kirkpatrick","year":"1983","unstructured":"S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by simmulated annealing. Science. 220(4598), 671\u2013680 (1983).","journal-title":"Science"},{"issue":"2","key":"1827_CR36","doi-asserted-by":"publisher","first-page":"341","DOI":"10.2307\/1427303","volume":"18","author":"F. J. Beutler","year":"1986","unstructured":"F. J. Beutler, K. W. Ross, Time-average optimal constrained semi-Markov decision processes. Adv. Appl. Probab.18(2), 341\u2013359 (1986).","journal-title":"Adv. Appl. Probab."},{"issue":"2","key":"1827_CR37","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/49.824799","volume":"18","author":"H. Tong","year":"2000","unstructured":"H. Tong, T. X. Brown, Adaptive call admission control under quality of service constraints: a reinforcement learning solution. IEEE J. Sel. Areas Commun.18(2), 209\u2013221 (2000).","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"317","key":"1827_CR38","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1080\/01621459.1967.10482885","volume":"62","author":"A. W. Marshall","year":"1967","unstructured":"A. W. Marshall, I. Olkin, A multivariate exponential distribution. J. Am. Stat. Assoc.62(317), 30\u201344 (1967).","journal-title":"J. Am. Stat. Assoc."}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-020-01827-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13638-020-01827-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-020-01827-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T23:38:37Z","timestamp":1635291517000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-020-01827-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,27]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["1827"],"URL":"https:\/\/doi.org\/10.1186\/s13638-020-01827-w","relation":{},"ISSN":["1687-1499"],"issn-type":[{"type":"electronic","value":"1687-1499"}],"subject":[],"published":{"date-parts":[[2020,10,27]]},"assertion":[{"value":"29 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"217"}}