Performance evaluation of lossless file compression in the cloud: a study based on Eucalyptus platform
Resumo
À medida que a computação em nuvem vem se tornando mais comumente adotada, surge um problema relativo ao armazenamento de grandes arquivos na nuvem. Para provedores de infraestrutura, o custo de contiguamente adquirir dispositivos de armazenamento pode ser proibitivo, tornando técnicas de compressão de arquivos mais proeminente neste contexto. Compressão de arquivos não somente reduziria custos de armazenamento sob demanda, mas também reduziria a utilização da largura de banda da rede e tempo de armazenamento. Este artigo avalia e compara o desempenho de máquinas virtuais na nuvem e máquinas não-virtualizadas considerando a compressão de arquivos.
Palavras-chave:
Cloud Computing, Eucalyptus Platform, Performance evaluation, Lossless file compression
Referências
Amazon Web Services (2011). Eucalyptus open-source cloud computing infrastructure - an overview. technical report, eucalyptus, inc.
Chee, B. and Franklin Jr, C. (2009). Cloud computing: technologies and strategies of the ubiquitous data center. CRC.
Chorafas, D. and Francis, T. . (2011). Cloud computing strategies. CRC Press.
D, J. and Murari, K. and Raju, M. and RB, S. and Girikumar, Y. (2010). Eucalyptus Beginner’s Guide - UEC Edition.
Ghoshal, D., Canon, R., and Ramakrishnan, L. Understanding i/o performance of virtualized cloud environments.
Godard, S. (2004). Sysstat:System performance tools for the Linux OS.
He, Q., Li, Z., and Zhang, X. (2010). Study on cloud storage system based on distributed storage systems. In Computational and Information Sciences (ICCIS), 2010 International Conference on, pages 1332–1335. IEEE.
Hovestadt, M., Kao, O., Kliem, A., and Warneke, D. (2011). Evaluating adaptive compression to mitigate the effects of shared i/o in clouds. In Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on, pages 1042–1051. IEEE.
Hugos, M. and Hulitzky, D. (2010). Business in the Cloud: What Every Business Needs to Know About Cloud Computing. Wiley.
Iosup, A., Ostermann, S., Yigitbasi, N., Prodan, R., Fahringer, T., and Epema, D. (2010). Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing. IEEE Transactions on Parallel and Distributed Systems, pages 1–16.
Krintz, C. and Calder, B. (2001). Reducing delay with dynamic selection of compression formats. In High Performance Distributed Computing, 2001. Proceedings. 10th IEEE International Symposium on, pages 266–277. IEEE.
Lilja, D.J. (2005). Measuring computer performance: a practitioner’s guide. Cambridge Univ Pr.
Miyamoto, T., Hayashi, M., and Tanaka, H. (2009). Customizing network functions for high performance cloud computing. In Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on, pages 130–133. IEEE.
Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., and Zagorodnov, D. (2009). The eucalyptus open-source cloud-computing system. In Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, pages 124–131. IEEE Computer Society.
Ostermann, S., Iosup, A., Yigitbasi, N., Prodan, R., Fahringer, T., and Epema, D. (2010). A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. pages 115–131.
Ozsoy, A. and Swany, M. (2011). Culzss: Lzss lossless data compression on cuda. In Cluster Computing (CLUSTER), 2011 IEEE International Conference on, pages 403–411. IEEE.
Pavlov, I. (april, 2012). 7-zip official website, [link].
Shafer, J. (2010). I/o virtualization bottlenecks in cloud computing today. In Proceedings of the 2nd conference on I/O virtualization, pages 5–5. USENIX Association.
Stallman, R. (april,2012). Gnu bourne again shell website, [link].
Velte, A., Velte, T., Elsenpeter, R., and Babcock, C. (2010). Cloud computing: a practical approach. McGraw-Hill.
Chee, B. and Franklin Jr, C. (2009). Cloud computing: technologies and strategies of the ubiquitous data center. CRC.
Chorafas, D. and Francis, T. . (2011). Cloud computing strategies. CRC Press.
D, J. and Murari, K. and Raju, M. and RB, S. and Girikumar, Y. (2010). Eucalyptus Beginner’s Guide - UEC Edition.
Ghoshal, D., Canon, R., and Ramakrishnan, L. Understanding i/o performance of virtualized cloud environments.
Godard, S. (2004). Sysstat:System performance tools for the Linux OS.
He, Q., Li, Z., and Zhang, X. (2010). Study on cloud storage system based on distributed storage systems. In Computational and Information Sciences (ICCIS), 2010 International Conference on, pages 1332–1335. IEEE.
Hovestadt, M., Kao, O., Kliem, A., and Warneke, D. (2011). Evaluating adaptive compression to mitigate the effects of shared i/o in clouds. In Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on, pages 1042–1051. IEEE.
Hugos, M. and Hulitzky, D. (2010). Business in the Cloud: What Every Business Needs to Know About Cloud Computing. Wiley.
Iosup, A., Ostermann, S., Yigitbasi, N., Prodan, R., Fahringer, T., and Epema, D. (2010). Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing. IEEE Transactions on Parallel and Distributed Systems, pages 1–16.
Krintz, C. and Calder, B. (2001). Reducing delay with dynamic selection of compression formats. In High Performance Distributed Computing, 2001. Proceedings. 10th IEEE International Symposium on, pages 266–277. IEEE.
Lilja, D.J. (2005). Measuring computer performance: a practitioner’s guide. Cambridge Univ Pr.
Miyamoto, T., Hayashi, M., and Tanaka, H. (2009). Customizing network functions for high performance cloud computing. In Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on, pages 130–133. IEEE.
Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., and Zagorodnov, D. (2009). The eucalyptus open-source cloud-computing system. In Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, pages 124–131. IEEE Computer Society.
Ostermann, S., Iosup, A., Yigitbasi, N., Prodan, R., Fahringer, T., and Epema, D. (2010). A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. pages 115–131.
Ozsoy, A. and Swany, M. (2011). Culzss: Lzss lossless data compression on cuda. In Cluster Computing (CLUSTER), 2011 IEEE International Conference on, pages 403–411. IEEE.
Pavlov, I. (april, 2012). 7-zip official website, [link].
Shafer, J. (2010). I/o virtualization bottlenecks in cloud computing today. In Proceedings of the 2nd conference on I/O virtualization, pages 5–5. USENIX Association.
Stallman, R. (april,2012). Gnu bourne again shell website, [link].
Velte, A., Velte, T., Elsenpeter, R., and Babcock, C. (2010). Cloud computing: a practical approach. McGraw-Hill.
Publicado
16/07/2012
Como Citar
MEDEIROS, Erico; SOUSA, Erica; TAVARES, Eduardo; MACIEL, Paulo.
Performance evaluation of lossless file compression in the cloud: a study based on Eucalyptus platform. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 39. , 2012, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 155-165.
ISSN 2595-6205.
