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Distributed Cloud Data Center for Efficient Services in Logistics Management

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Rising Threats in Expert Applications and Solutions

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 434))

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Abstract

An issue in research is a challenging area to be improved, eliminated and the troubling question which exist in theory, practice which needs to have meaningful investigation and information distribution. Logistics information system (LIS) is needed to drive globally decrease or increase by the nature. Thus it is required, LIS should be in the form of distributed system rather than centralized system. As there is availability of anywhere and anytime the cloud provider are providing resources for sharing information by using its services in logistics operations. Logistics under the umbrella of supply chain itself is distributed over various regions so it should also adopt distributed cloud datacenter for its efficient services. Thus the basic research problem under study is to provide an efficient and scalable solution via distributed datacenter over cloud for managing logistics.

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References

  1. K.-C. Shang, P.B. Marlow, Logistics capability and performance in Taiwan’s major manufacturing firms. Transp. Res. Part E: Logist. Transp. Rev. 41, 217–234 (2005)

    Article  Google Scholar 

  2. M.S. Pishvaee, F. Jolai, J. Razmi, A stochastic optimization model for integrated forward/reverse logistics network design. J. Manuf. Syst. 28, 107–114 (2009)

    Google Scholar 

  3. H.I. Hasiao, R.G.M. Kemp, J.G.A.J. Van Der Vorst, S.w.F. Omta, A classification of logistics outsourcing levels and their impact on service performance: evidence from the food processing industry. Int. J. Prod. Econ. 124, 75–86 (2010)

    Google Scholar 

  4. Y. Kim, T.Y. Choi, T. Yan, K. Dooley, Structural investigation of supply network: a social network analysis approach. J. Oper. Manag. 29, 194–211 (2011)

    Google Scholar 

  5. G. Buyukozkan, O. Feyzioglu, L. Bingol, Analytical Network Process for logistics management: a case study in small electronic appliance manufacturer. Comput. Ind. Eng. 58, 432–441 (2008)

    Google Scholar 

  6. P.A. Horvath, C.W. Autry, W.E. Wilcox, Liquidity implications of reverse logistics for etailers: a Markov chain approach. J. Prod. Retail. 81, 191–203 (2005)

    Article  Google Scholar 

  7. Celebi et al., Analytical network process for logistics management: a case study in a small electronic appliances manufacturer. Comput. Ind. Eng. 58, 432–441 (2010)

    Article  Google Scholar 

  8. E.J. Bardi, T.S. Raghunathan, P.K. Bagchi, Logistics information system: the strength role of top management. J. Bus. Logist. 15(1), 71–85 (1994)

    Google Scholar 

  9. S. Dubey, S. Jain, Logistics information system and cloud computing. Res. J. J. Comput. Sci. 1(1) (2014)

    Google Scholar 

  10. V. Ilin, D. Simic, V. Svircevic, N. Saulic, Cloud computing applications in global logistics information system infrastructure. J. Traffic Transp. Eng. 1(1, Serial No. 1), 30–38 (2016). ISSN 2328-2142

    Google Scholar 

  11. V. Tilokavichai, P. Sophatsathit, A. Chandrachai, Analysis of linkages between logistics information systems and logistics performance management under uncertainty. Eur. J. Bus. Manag. 4(9) (2012). ISSN 2222-1905 (Paper)/ISSN 2222-2839

    Google Scholar 

  12. D.C. Marinescu, Cloud Computing: Theory and Practice (Morgan Kaufmann Elsevier, Waltham USA, 2013)

    Google Scholar 

  13. A.M. Salem, Facebook Distributed System Case Study for Distributed inside Facebook data center. Int. J. Technol. Enhanc. Emerg. Eng. Res. 2(7) (2017). ISSN: 2347-4289

    Google Scholar 

  14. S. Surpreeth, S. Birada, Scheduling virtual machines for load balancing in cloud computing platform. Int. J. Sci. Res. (IJSR) 2(6) (2013). ISSN: 2319-7064

    Google Scholar 

  15. R. Nema, S.T. Edwin, A new efficient VM load balancing algorithm for cloud computing environment. Int. J. Latest Res. Eng. Technol. (IJLRET) 2(12), 69–75 (2013). ISSN: 2454-5031

    Google Scholar 

  16. V. Asha, B. Kumar, V. Girish, Load balancing in cloud computing. Int. J. Recent Trends Eng. Res. 4(3) (2018). ISSN: 2455-1457

    Google Scholar 

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Correspondence to Shivani Dubey .

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Dubey, S., Singhal, V., Jain, R., Agrawal, A. (2022). Distributed Cloud Data Center for Efficient Services in Logistics Management. In: Rathore, V.S., Sharma, S.C., Tavares, J.M.R., Moreira, C., Surendiran, B. (eds) Rising Threats in Expert Applications and Solutions. Lecture Notes in Networks and Systems, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-19-1122-4_38

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