Uma ferramenta baseada em containers Docker para experimentação em Mobile Cloud Computing
Abstract
Mobile Cloud Computing (MCC) is intended to improve the execution of applications on mobile devices through the processing power provided by cloud computing. Several MCC works analyze the influence of the network conditions onto the accomplishment of computation offloading; however, many of these works use single-device scenarios, which do not fit into a classic cloud computing environment, where multiple users interact simultaneously with a service. This work presents a tool that uses Docker containers to create MCC experimentation environments with multiple mobile devices and cloudlets. By using the proposed tool, developers and researchers will be able to create more realistic experimentation scenarios to test their applications.
References
Fernando, N., Loke, S. W., and Rahayu, W. (2013). Mobile cloud computing: A sur- vey. Future Generation Computer Systems, 29(1):84 – 106. Including Special section: AIRCC-NetCoM 2009 and Special section: Clouds and Service-Oriented Architectures.
Gomes, F. A., Rego, P. A., Rocha, L., de Souza, J. N., and Trinta, F. (2017). Caos: In 2017 IEEE 41st Annual Computer
A context acquisition and ofoading system. Software and Applications Conference (COMPSAC), pages 957–966. IEEE.
Hoang, D. T., Lee, C., Niyato, D., and Wang, P. (2013). A survey of mobile cloud compu- ting: architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18):1587–1611.
Kosta, S., Aucinas, A., Hui, P., Mortier, R., and Zhang, X. (2012). Thinkair: Dynamic resource allocation and parallel execution in the cloud for mobile code ofoading. In Greenberg, A. G. and Sohraby, K., editors, INFOCOM, pages 945–953. IEEE.
Kumar, K., Liu, J., Lu, Y.-H., and Bhargava, B. (2013). A survey of computation ofoading for mobile systems. Mobile Networks and Applications, 18(1):129–140.
Rego, P. A. L., Costa, P. B., Coutinho, E. F., Rocha, L. S., Trinta, F. A., and de Souza, J. N. (2016). Performing computation ofoading on multiple platforms. Computer Communications.
Gomes, F. A., Rego, P. A., Rocha, L., de Souza, J. N., and Trinta, F. (2017). Caos: In 2017 IEEE 41st Annual Computer
A context acquisition and ofoading system. Software and Applications Conference (COMPSAC), pages 957–966. IEEE.
Hoang, D. T., Lee, C., Niyato, D., and Wang, P. (2013). A survey of mobile cloud compu- ting: architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18):1587–1611.
Kosta, S., Aucinas, A., Hui, P., Mortier, R., and Zhang, X. (2012). Thinkair: Dynamic resource allocation and parallel execution in the cloud for mobile code ofoading. In Greenberg, A. G. and Sohraby, K., editors, INFOCOM, pages 945–953. IEEE.
Kumar, K., Liu, J., Lu, Y.-H., and Bhargava, B. (2013). A survey of computation ofoading for mobile systems. Mobile Networks and Applications, 18(1):129–140.
Rego, P. A. L., Costa, P. B., Coutinho, E. F., Rocha, L. S., Trinta, F. A., and de Souza, J. N. (2016). Performing computation ofoading on multiple platforms. Computer Communications.
Published
2018-05-06
How to Cite
BARBOSA, Renan; REGO, Paulo; STANCANELLI, Elvis; MAIA, Marcio; DE SOUZA, José.
Uma ferramenta baseada em containers Docker para experimentação em Mobile Cloud Computing. In: DEMO SESSION - BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 1. , 2018, Campos do Jordão.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2018.14163.
