Introduction
Cloud computing is a Web-based processing, that allow to share resources, software, and information over the Internet. Cloud computing helps enterprises and other institutions like schools, universities, etc. transform business and technology. Most cloud computing infrastructures consist of services delivered through common centers and built on servers.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cagan, J., Shimada, K., Yin, S.: A survey of computational approaches to three-dimensional layout problems. Computer Aided Design 34(8), 597–611 (2002)
Cui, Y., Yang, Y., Cheng, X., Song, P.: A recursive branch-and-bound algorithm for the rectangular guillotine strip packing problem. Computers & Operations Research 35, 1281–1291 (2008)
Folino, G., Mastroianni, C.: Special section: Bio-inspired algorithms for distributed systems. Future Generation Computer Systems 26, 835–837 (2010)
Garg, S.K., Yeo, C.S., Anandasivam, A., Buyya, R.: Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers. J. Parallel Distrib. Comput. (2010), doi:10.1016/j.jpdc.2010.04.004
Georgis, N., Petrou, M., Kittler, J.: On the generalised stock cutting problem. Machine Vision and Applications 11, 231–241 (2000)
Greblicki, J., Kotowski, J.: Analysis of the Properties of the Harmony Search Algorithm Carried Out on the One Dimensional Binary Knapsack Problem. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2009. LNCS, vol. 5717, pp. 697–704. Springer, Heidelberg (2009)
Greblicki, J., Kotowski, J.: Automated design of totally self-checking sequential circuits. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2009. LNCS, vol. 5717, pp. 98–105. Springer, Heidelberg (2009)
Kong, X., Lin, C., Jiang, Y., Yan, W., Chu, X.: Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction. Journal of Network and Computer Applications (2010)
Kotowski, J.: The use of the method of illusion to optimizing the simple cutting stock problem. In: Proc. MMAR 2001, 7th IEEE Conference on Methods and Models in Automation and Robotics, vol. 1, pp. 149–154 (2001)
Lee, Y.C., Zomaya, A.Y.: Rescheduling for reliable job completion with the support of clouds. Future Generation Computer Systems 26, 1192–1199 (2010)
Mateescu, G., Gentzsch, W., Ribbens, C.J.: Hybrid Computing - Where HPC meets grid and Cloud Computing. In: Future Generation Computer Systems. Elsevier Ltd, Amsterdam (2010)
Ortmann, F.G., Ntene, N., van Vuuren, J.H.: New and improved level heuristics for the rectangular strip packing and variable-sized bin packing problems. European Journal of Operational Research 203, 306–315 (2010)
Paul, S., Pan, J., Jain, R.: Architectures for the future networks and the next generation Internet: A survey. Computer Communications 34, 2–42 (2011)
Taylor, M., Haggerty, J., Gresty, D., Hegarty, R.: Digital evidence in cloud computing systems. Computer Law & Security Review 26, 304–308 (2010)
Trkman, P., Gradisar, M.: One-dimensional cutting stock optimization in consecutive time periods. European Journal of Operational Research 179, 291–301 (2007)
Wäscher, G., Haußner, H., Schumann, H.: An improved typology of cutting and packing problems. European Journal of Operational Research 183, 1109–1130 (2007)
Zhao, C., Zhang, S., Liu, Q., Xie, J., Hu, J.: Independent Tasks Scheduling Based on Genetic Algorithm in Cloud Computing. In: 5th International Conference on Wireless Communications, WiCom. IEEE, Los Alamitos (2009)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Greblicki, J., Kotowski, J., Szlachcic, E. (2012). The Cutting Stock Problem Recent Application in Information Technology. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_74
Download citation
DOI: https://doi.org/10.1007/978-3-642-27579-1_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27578-4
Online ISBN: 978-3-642-27579-1
eBook Packages: Computer ScienceComputer Science (R0)