A context-sensitive offloading system using machine-learning classification algorithms for mobile cloud environment
Computational offloading in Mobile Cloud Computing (MCC) has attracted attention due to benefits in energy saving and improved mobile application performance. Nevertheless, this technique underperforms if the offloading decision ignores contextual information. While recent studies have highlighted t...
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| Vydáno v: | Future generation computer systems Ročník 90; s. 503 - 520 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.01.2019
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| Témata: | |
| ISSN: | 0167-739X, 1872-7115 |
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| Abstract | Computational offloading in Mobile Cloud Computing (MCC) has attracted attention due to benefits in energy saving and improved mobile application performance. Nevertheless, this technique underperforms if the offloading decision ignores contextual information. While recent studies have highlighted the use of contextual information to improve the computational offloading decision, there still remain challenges regarding the dynamic nature of the MCC environment. Most solutions design a single reasoner for the offloading decision and do not know how accurate and precise this technique is, so that when applied in real-world environments it can contribute to inaccurate decisions and consequently the low performance of the overall system. Thus, this paper proposes a Context-Sensitive Offloading System (CSOS) that takes advantage of the main machine-learning reasoning techniques and robust profiling system to provide offloading decisions with high levels of accuracy. We first evaluate the main classification algorithms under our database and the results show that JRIP and J48 classifiers achieves 95% accuracy. Secondly, we develop and evaluate our system under controlled and real scenarios, where context information changes from one experiment to another. Under these conditions, CSOS makes correct decisions as well as ensuring performance gains and energy efficiency.
•We develop CSOS, which integrates middleware, classifiers, and profiling system.•Decision engine is highly accurate for the dynamic nature of mobile environments.•CSOS transforms raw context elements to high-level context information at runtime.•The benchmark applications are easily configurable by the programmer.•Through a real-world deployment, the proposed system improves dynamic offloading. |
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| AbstractList | Computational offloading in Mobile Cloud Computing (MCC) has attracted attention due to benefits in energy saving and improved mobile application performance. Nevertheless, this technique underperforms if the offloading decision ignores contextual information. While recent studies have highlighted the use of contextual information to improve the computational offloading decision, there still remain challenges regarding the dynamic nature of the MCC environment. Most solutions design a single reasoner for the offloading decision and do not know how accurate and precise this technique is, so that when applied in real-world environments it can contribute to inaccurate decisions and consequently the low performance of the overall system. Thus, this paper proposes a Context-Sensitive Offloading System (CSOS) that takes advantage of the main machine-learning reasoning techniques and robust profiling system to provide offloading decisions with high levels of accuracy. We first evaluate the main classification algorithms under our database and the results show that JRIP and J48 classifiers achieves 95% accuracy. Secondly, we develop and evaluate our system under controlled and real scenarios, where context information changes from one experiment to another. Under these conditions, CSOS makes correct decisions as well as ensuring performance gains and energy efficiency.
•We develop CSOS, which integrates middleware, classifiers, and profiling system.•Decision engine is highly accurate for the dynamic nature of mobile environments.•CSOS transforms raw context elements to high-level context information at runtime.•The benchmark applications are easily configurable by the programmer.•Through a real-world deployment, the proposed system improves dynamic offloading. |
| Author | Junior, Warley Oliveira, Eduardo Dias, Kelvin Santos, Albertinin |
| Author_xml | – sequence: 1 givenname: Warley surname: Junior fullname: Junior, Warley email: wmvj@cin.ufpe.br – sequence: 2 givenname: Eduardo orcidid: 0000-0003-1754-4699 surname: Oliveira fullname: Oliveira, Eduardo email: ehammo@cin.ufpe.br – sequence: 3 givenname: Albertinin orcidid: 0000-0002-7641-749X surname: Santos fullname: Santos, Albertinin email: ams11@cin.ufpe.br – sequence: 4 givenname: Kelvin orcidid: 0000-0003-0336-1162 surname: Dias fullname: Dias, Kelvin email: kld@cin.ufpe.br |
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| Cites_doi | 10.1016/j.pmcj.2015.10.001 10.1145/2482981.2482984 10.1016/j.comcom.2016.01.006 10.1145/1814433.1814441 10.1145/2840723 10.1109/TMC.2017.2711014 10.1016/j.future.2012.05.023 10.1016/j.jnca.2016.10.023 10.1016/j.pmcj.2009.06.002 10.1016/j.compeleceng.2015.02.006 10.1007/s10723-015-9335-x 10.1109/SURV.2013.042313.00197 10.1016/j.tele.2015.08.006 10.1016/0305-0548(93)90109-V 10.1109/ACCESS.2015.2499300 10.1016/j.jnca.2017.07.008 10.1109/MCOM.2015.7060486 10.1214/aoms/1177731944 10.1016/j.pmcj.2016.09.014 10.1016/j.inffus.2017.09.010 10.1080/01621459.1937.10503522 |
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| References | Tool to consume CPU resource by constant usage rate, 2017 Bhattacharya, De (b40) 2017; 78 Wu, Sun, Wolter (b19) 2018 Viola, Jones (b29) 2001 Wu (b35) 2018; 17 Flores, Hui, Tarkoma, Li, Srirama, Buyya (b4) 2015; 53 Khan, Othman, Khan, Abid, Madani (b7) 2015; 13 The ultimate speed test tool for TCP, UDP and SCT, 2017 N. Fernando, S.W. Loke, W. Rahayu, Mobile cloud computing: A survey, Future Gener. Comput. Syst. 1, 84–106 Lin, Lin, Hsu, King (b9) 2013 Rego, Cheong, Coutinho, Trinta, Hasan, de Souza (b17) 2017 Zhou, Vahid Dastjerdi, Calheiros, Srirama, Buyya (b13) 2015; PP Eom, Figueiredo, Cai, Zhang, Huang (b10) 2015 Cruz, Sabourin, Cavalcanti (b39) 2018; 41 Perera, Zaslavsky, Christen, Georgakopoulos (b22) 2014; 16 Demšar (b27) 2006; 7 Rego, Costa, Coutinho, Rocha, Trinta, de Souza (b30) 2015 Nakahara, Beder (b18) 2018 Flores, Sharma, Ferreira, Kostakos, Manner, Tarkoma, Hui, Li (b3) 2017; 36 Wu, Wang, Wolter (b36) 2013 Kwon, Yi, Kwon, Yang, Cho, Paek (b11) 2016; 27 Jiang, Mao (b37) 2015; 3 Ferrari, Giordano, Puccinelli (b8) 2016; 81 H. Flores, S. Srirama, Adaptive code offloading for mobile cloud applications: Exploiting fuzzy sets and evidence-based learning, MCS ’13, 2013,pp. 9–16 Nemenyi (b28) 1963 Bettini, Brdiczka, Henricksen, Indulska, Nicklas, Ranganathan, Riboni (b5) 2010; 6 . Friedman (b25) 1937; 32 Ghasemi-Falavarjani, Nematbakhsh, Shahgholi Ghahfarokhi (b12) 2015; 44 Majeed, Khan, UlAmin, Muhammad, Ayub (b14) 2016 Junior, França, Dias, de Souza (b2) 2017; 94 E. Cuervo, A. Balasubramanian, D.-k. Cho, A. Wolman, S. Saroiu, R. Chandra, P. Bahl, MAUI : Making smartphones last longer with code offload, in: 8th International Conference on Mobile Systems, Applications, and Services, 2010, pp. 49–62. Alizadeh, Ghazanfari, Teimorpour (b23) 2011 Kosta, Aucinas, Hui, Mortier, Zhang (b6) 2012 Hwang, Lai, Liu (b20) 1993; 20 Hoque, Siekkinen, Khan, Xiao, Tarkoma (b31) 2015; 48 Weng, Huang, Han (b24) 2016; 33 Hughes, Foley (b38) 2014 Witten, Frank, Hall, Pal (b21) 2016 The ultimate stability testing tool for overclockers, 2017 Friedman (b26) 1940; 11 Alizadeh (10.1016/j.future.2018.08.026_b23) 2011 Nemenyi (10.1016/j.future.2018.08.026_b28) 1963 Wu (10.1016/j.future.2018.08.026_b35) 2018; 17 Ghasemi-Falavarjani (10.1016/j.future.2018.08.026_b12) 2015; 44 Flores (10.1016/j.future.2018.08.026_b4) 2015; 53 Rego (10.1016/j.future.2018.08.026_b30) 2015 Friedman (10.1016/j.future.2018.08.026_b26) 1940; 11 Rego (10.1016/j.future.2018.08.026_b17) 2017 Viola (10.1016/j.future.2018.08.026_b29) 2001 Hwang (10.1016/j.future.2018.08.026_b20) 1993; 20 Jiang (10.1016/j.future.2018.08.026_b37) 2015; 3 Wu (10.1016/j.future.2018.08.026_b19) 2018 Bettini (10.1016/j.future.2018.08.026_b5) 2010; 6 Wu (10.1016/j.future.2018.08.026_b36) 2013 10.1016/j.future.2018.08.026_b1 Ferrari (10.1016/j.future.2018.08.026_b8) 2016; 81 Kosta (10.1016/j.future.2018.08.026_b6) 2012 Hoque (10.1016/j.future.2018.08.026_b31) 2015; 48 Majeed (10.1016/j.future.2018.08.026_b14) 2016 10.1016/j.future.2018.08.026_b15 Nakahara (10.1016/j.future.2018.08.026_b18) 2018 10.1016/j.future.2018.08.026_b34 Friedman (10.1016/j.future.2018.08.026_b25) 1937; 32 Junior (10.1016/j.future.2018.08.026_b2) 2017; 94 Kwon (10.1016/j.future.2018.08.026_b11) 2016; 27 10.1016/j.future.2018.08.026_b16 Demšar (10.1016/j.future.2018.08.026_b27) 2006; 7 Hughes (10.1016/j.future.2018.08.026_b38) 2014 Khan (10.1016/j.future.2018.08.026_b7) 2015; 13 Lin (10.1016/j.future.2018.08.026_b9) 2013 Cruz (10.1016/j.future.2018.08.026_b39) 2018; 41 Zhou (10.1016/j.future.2018.08.026_b13) 2015; PP Weng (10.1016/j.future.2018.08.026_b24) 2016; 33 Flores (10.1016/j.future.2018.08.026_b3) 2017; 36 Bhattacharya (10.1016/j.future.2018.08.026_b40) 2017; 78 10.1016/j.future.2018.08.026_b32 Eom (10.1016/j.future.2018.08.026_b10) 2015 Witten (10.1016/j.future.2018.08.026_b21) 2016 Perera (10.1016/j.future.2018.08.026_b22) 2014; 16 10.1016/j.future.2018.08.026_b33 |
| References_xml | – reference: The ultimate speed test tool for TCP, UDP and SCT, 2017, – start-page: 1 year: 2015 end-page: 13 ident: b30 article-title: Performing computation offloading on multiple platforms publication-title: Comput. Commun. – volume: 44 start-page: 218 year: 2015 end-page: 240 ident: b12 article-title: Context-aware multi-objective resource allocation in mobile cloud publication-title: Comput. Electr. Eng. – start-page: 111 year: 2013 end-page: 116 ident: b9 article-title: Context-aware decision engine for mobile cloud offloading publication-title: Wireless Communications and Networking Conference Workshops, WCNCW, 2013 IEEE – year: 2016 ident: b21 article-title: Data Mining: Practical Machine Learning Tools and Techniques – reference: Tool to consume CPU resource by constant usage rate, 2017, – start-page: 945 year: 2012 end-page: 953 ident: b6 article-title: ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading publication-title: 2012 Proceedings IEEE INFOCOM – start-page: 728 year: 2013 end-page: 732 ident: b36 article-title: Tradeoff between performance improvement and energy saving in mobile cloud offloading systems publication-title: Communications Workshops, ICC, 2013 IEEE International Conference on – start-page: 74 year: 2017 end-page: 81 ident: b17 article-title: Decision tree-based approaches for handling offloading decisions and performing adaptive monitoring in MCC systems publication-title: 2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud – year: 1963 ident: b28 article-title: Distribution-Free Multiple Comparisons – volume: 13 start-page: 605 year: 2015 end-page: 628 ident: b7 article-title: MobiByte: An application development model for mobile cloud computing publication-title: J. Grid Comput. – start-page: 51 year: 2015 end-page: 60 ident: b10 article-title: MALMOS: Machine learning-based mobile offloading scheduler with online training publication-title: 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering – volume: 20 start-page: 889 year: 1993 end-page: 899 ident: b20 article-title: A new approach for multiple objective decision making publication-title: Comput. Oper. Res. – volume: 6 start-page: 161 year: 2010 end-page: 180 ident: b5 article-title: A survey of context modelling and reasoning techniques publication-title: Pervasive Mob. Comput. – reference: The ultimate stability testing tool for overclockers, 2017, – volume: 17 start-page: 461 year: 2018 end-page: 474 ident: b35 article-title: Stochastic analysis of delayed mobile offloading in heterogeneous networks publication-title: IEEE Trans. Mob. Comput. – reference: N. Fernando, S.W. Loke, W. Rahayu, Mobile cloud computing: A survey, Future Gener. Comput. Syst. 1, 84–106, – year: 2011 ident: b23 article-title: Data Mining and Knowledge Discovery – volume: 78 start-page: 97 year: 2017 end-page: 115 ident: b40 article-title: A survey of adaptation techniques in computation offloading publication-title: J. Netw. Comput. Appl. – volume: PP start-page: 1 year: 2015 ident: b13 article-title: mCloud: A context-aware offloading framework for heterogeneous mobile cloud publication-title: IEEE Trans. Serv. Comput. – start-page: 1 year: 2018 end-page: 12 ident: b18 article-title: A context-aware and self-adaptive offloading decision support model for mobile cloud computing system publication-title: J. Ambient Intell. Humaniz. Comput. – reference: E. Cuervo, A. Balasubramanian, D.-k. Cho, A. Wolman, S. Saroiu, R. Chandra, P. Bahl, MAUI : Making smartphones last longer with code offload, in: 8th International Conference on Mobile Systems, Applications, and Services, 2010, pp. 49–62. – volume: 94 start-page: 93 year: 2017 end-page: 108 ident: b2 article-title: Supporting mobility-aware computational offloading in mobile cloud environment publication-title: J. Netw. Comput. Appl. – volume: 11 start-page: 86 year: 1940 end-page: 92 ident: b26 article-title: A comparison of alternative tests of significance for the problem of m rankings publication-title: Ann. Math. Stat. – year: 2001 ident: b29 article-title: Rapid object detection using a boosted cascade of simple features publication-title: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, vol. 1 – volume: 81 start-page: 1 year: 2016 end-page: 11 ident: b8 article-title: Reducing your local footprint with anyrun computing publication-title: Comput. Commun. – volume: 32 start-page: 675 year: 1937 end-page: 701 ident: b25 article-title: The use of ranks to avoid the assumption of normality implicit in the analysis of variance publication-title: J. Amer. Statist. Assoc. – year: 2018 ident: b19 article-title: Energy-efficient decision making for mobile cloud offloading publication-title: IEEE Trans. Cloud Comput. – volume: 41 start-page: 195 year: 2018 end-page: 216 ident: b39 article-title: Dynamic classifier selection: Recent advances and perspectives publication-title: Inf. Fusion – reference: H. Flores, S. Srirama, Adaptive code offloading for mobile cloud applications: Exploiting fuzzy sets and evidence-based learning, MCS ’13, 2013,pp. 9–16, – volume: 7 start-page: 1 year: 2006 end-page: 30 ident: b27 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. – reference: . – volume: 48 start-page: 1 year: 2015 end-page: 40 ident: b31 article-title: Modeling, profiling, and debugging the energy consumption of mobile devices publication-title: ACM Comput. Surv. – volume: 33 start-page: 277 year: 2016 end-page: 292 ident: b24 article-title: Disease prediction with different types of neural network classifiers publication-title: Telemat. Inform. – volume: 53 start-page: 80 year: 2015 end-page: 88 ident: b4 article-title: Mobile code offloading: from concept to practice and beyond publication-title: IEEE Commun. Mag. – volume: 16 start-page: 414 year: 2014 end-page: 454 ident: b22 article-title: Context aware computing for the internet of things: A survey publication-title: IEEE Commun. Surv. Tutor. – start-page: 98 year: 2016 end-page: 103 ident: b14 article-title: Code offloading using support vector machine publication-title: 2016 Sixth International Conference on Innovative Computing Technology, INTECH – volume: 36 start-page: 25 year: 2017 end-page: 43 ident: b3 article-title: Social-aware hybrid mobile offloading publication-title: Pervasive Mob. Comput. – volume: 3 start-page: 2306 year: 2015 end-page: 2316 ident: b37 article-title: Energy delay tradeoff in cloud offloading for multi-core mobile devices publication-title: IEEE Access – volume: 27 start-page: 58 year: 2016 end-page: 74 ident: b11 article-title: Precise execution offloading for applications with dynamic behavior in mobile cloud computing publication-title: Pervasive Mob. Comput. – year: 2014 ident: b38 article-title: Computer Graphics: Principles and Practice – volume: 27 start-page: 58 year: 2016 ident: 10.1016/j.future.2018.08.026_b11 article-title: Precise execution offloading for applications with dynamic behavior in mobile cloud computing publication-title: Pervasive Mob. Comput. doi: 10.1016/j.pmcj.2015.10.001 – ident: 10.1016/j.future.2018.08.026_b16 doi: 10.1145/2482981.2482984 – volume: 81 start-page: 1 year: 2016 ident: 10.1016/j.future.2018.08.026_b8 article-title: Reducing your local footprint with anyrun computing publication-title: Comput. Commun. doi: 10.1016/j.comcom.2016.01.006 – ident: 10.1016/j.future.2018.08.026_b34 – start-page: 51 year: 2015 ident: 10.1016/j.future.2018.08.026_b10 article-title: MALMOS: Machine learning-based mobile offloading scheduler with online training – ident: 10.1016/j.future.2018.08.026_b32 – ident: 10.1016/j.future.2018.08.026_b15 doi: 10.1145/1814433.1814441 – year: 2001 ident: 10.1016/j.future.2018.08.026_b29 article-title: Rapid object detection using a boosted cascade of simple features – volume: 48 start-page: 1 issue: 3 year: 2015 ident: 10.1016/j.future.2018.08.026_b31 article-title: Modeling, profiling, and debugging the energy consumption of mobile devices publication-title: ACM Comput. Surv. doi: 10.1145/2840723 – volume: 17 start-page: 461 issue: 2 year: 2018 ident: 10.1016/j.future.2018.08.026_b35 article-title: Stochastic analysis of delayed mobile offloading in heterogeneous networks publication-title: IEEE Trans. Mob. Comput. doi: 10.1109/TMC.2017.2711014 – year: 2016 ident: 10.1016/j.future.2018.08.026_b21 – start-page: 74 year: 2017 ident: 10.1016/j.future.2018.08.026_b17 article-title: Decision tree-based approaches for handling offloading decisions and performing adaptive monitoring in MCC systems – ident: 10.1016/j.future.2018.08.026_b1 doi: 10.1016/j.future.2012.05.023 – volume: 78 start-page: 97 issue: October 2016 year: 2017 ident: 10.1016/j.future.2018.08.026_b40 article-title: A survey of adaptation techniques in computation offloading publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2016.10.023 – start-page: 111 year: 2013 ident: 10.1016/j.future.2018.08.026_b9 article-title: Context-aware decision engine for mobile cloud offloading – start-page: 728 year: 2013 ident: 10.1016/j.future.2018.08.026_b36 article-title: Tradeoff between performance improvement and energy saving in mobile cloud offloading systems – volume: 6 start-page: 161 issue: 2 year: 2010 ident: 10.1016/j.future.2018.08.026_b5 article-title: A survey of context modelling and reasoning techniques publication-title: Pervasive Mob. Comput. doi: 10.1016/j.pmcj.2009.06.002 – volume: 44 start-page: 218 year: 2015 ident: 10.1016/j.future.2018.08.026_b12 article-title: Context-aware multi-objective resource allocation in mobile cloud publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2015.02.006 – year: 2011 ident: 10.1016/j.future.2018.08.026_b23 – ident: 10.1016/j.future.2018.08.026_b33 – start-page: 945 year: 2012 ident: 10.1016/j.future.2018.08.026_b6 article-title: ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading – volume: 13 start-page: 605 issue: 4 year: 2015 ident: 10.1016/j.future.2018.08.026_b7 article-title: MobiByte: An application development model for mobile cloud computing publication-title: J. Grid Comput. doi: 10.1007/s10723-015-9335-x – start-page: 1 year: 2015 ident: 10.1016/j.future.2018.08.026_b30 article-title: Performing computation offloading on multiple platforms publication-title: Comput. Commun. – start-page: 98 year: 2016 ident: 10.1016/j.future.2018.08.026_b14 article-title: Code offloading using support vector machine – volume: 16 start-page: 414 issue: 1 year: 2014 ident: 10.1016/j.future.2018.08.026_b22 article-title: Context aware computing for the internet of things: A survey publication-title: IEEE Commun. Surv. Tutor. doi: 10.1109/SURV.2013.042313.00197 – volume: 33 start-page: 277 issue: 2 year: 2016 ident: 10.1016/j.future.2018.08.026_b24 article-title: Disease prediction with different types of neural network classifiers publication-title: Telemat. Inform. doi: 10.1016/j.tele.2015.08.006 – start-page: 1 year: 2018 ident: 10.1016/j.future.2018.08.026_b18 article-title: A context-aware and self-adaptive offloading decision support model for mobile cloud computing system publication-title: J. Ambient Intell. Humaniz. Comput. – volume: 20 start-page: 889 issue: 8 year: 1993 ident: 10.1016/j.future.2018.08.026_b20 article-title: A new approach for multiple objective decision making publication-title: Comput. Oper. Res. doi: 10.1016/0305-0548(93)90109-V – volume: 7 start-page: 1 issue: Jan year: 2006 ident: 10.1016/j.future.2018.08.026_b27 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. – volume: PP start-page: 1 issue: 99 year: 2015 ident: 10.1016/j.future.2018.08.026_b13 article-title: mCloud: A context-aware offloading framework for heterogeneous mobile cloud publication-title: IEEE Trans. Serv. Comput. – volume: 3 start-page: 2306 year: 2015 ident: 10.1016/j.future.2018.08.026_b37 article-title: Energy delay tradeoff in cloud offloading for multi-core mobile devices publication-title: IEEE Access doi: 10.1109/ACCESS.2015.2499300 – volume: 94 start-page: 93 issue: July year: 2017 ident: 10.1016/j.future.2018.08.026_b2 article-title: Supporting mobility-aware computational offloading in mobile cloud environment publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2017.07.008 – volume: 53 start-page: 80 issue: 3 year: 2015 ident: 10.1016/j.future.2018.08.026_b4 article-title: Mobile code offloading: from concept to practice and beyond publication-title: IEEE Commun. Mag. doi: 10.1109/MCOM.2015.7060486 – year: 2018 ident: 10.1016/j.future.2018.08.026_b19 article-title: Energy-efficient decision making for mobile cloud offloading publication-title: IEEE Trans. Cloud Comput. – volume: 11 start-page: 86 issue: 1 year: 1940 ident: 10.1016/j.future.2018.08.026_b26 article-title: A comparison of alternative tests of significance for the problem of m rankings publication-title: Ann. Math. Stat. doi: 10.1214/aoms/1177731944 – year: 1963 ident: 10.1016/j.future.2018.08.026_b28 – volume: 36 start-page: 25 year: 2017 ident: 10.1016/j.future.2018.08.026_b3 article-title: Social-aware hybrid mobile offloading publication-title: Pervasive Mob. Comput. doi: 10.1016/j.pmcj.2016.09.014 – year: 2014 ident: 10.1016/j.future.2018.08.026_b38 – volume: 41 start-page: 195 year: 2018 ident: 10.1016/j.future.2018.08.026_b39 article-title: Dynamic classifier selection: Recent advances and perspectives publication-title: Inf. Fusion doi: 10.1016/j.inffus.2017.09.010 – volume: 32 start-page: 675 issue: 200 year: 1937 ident: 10.1016/j.future.2018.08.026_b25 article-title: The use of ranks to avoid the assumption of normality implicit in the analysis of variance publication-title: J. Amer. Statist. Assoc. doi: 10.1080/01621459.1937.10503522 |
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| Title | A context-sensitive offloading system using machine-learning classification algorithms for mobile cloud environment |
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