acceptance and satisfaction perception. Still, we plan
to incorporate a CSS code editor to the bcloud admin-
istrator interface, so it will be easier for the admin-
istrator to perform design configuration changes. We
are going to assist, study and evaluate a bcloud pro-
duction deployment, and will conduct another inquiry
to verify the product evolution.
REFERENCES
Alhazmi, O. and Malaiya, Y. (2013). Evaluating Disaster
Recovery Plans Using the Cloud.
Amvrosiadis, G. and Bhadkamkar, M. (2015). Identify-
ing Trends in Enterprise Data Protection Systems. In
USENIX Annual Technical Conference, pages 151–
164.
Arean, O. (2013). Disaster recovery in the cloud. Network
Security, 2013(9):5–7.
Armbrust, M., Stoica, I., Zaharia, M., Fox, A., Griffith, R.,
Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Pat-
terson, D., and Rabkin, A. (2010). A view of cloud
computing. Communications of the ACM, 53(4):50.
Buyya, R., Broberg, J., and Go
´
scinski, A. (2011). Cloud
computing: principles and paradigms. Wiley, Hobo-
ken, N.J. OCLC: ocn606774387.
Camacho, H., Brambila, A., Pe
˜
na, A., and Vargas, J. (2014).
A Cloud Environment for Backup and Data Storage.
Columbus, L. (2017). Roundup Of Cloud Computing Fore-
casts.
Faria, H. (2016). Bacula The Open Source Backup Soft-
ware.
Faria, H. (2018). A Hadoop Open Source Backup Solution.
Faria, H., Carvalho, R., and Solis, P. (2017a). Storage
Growing Forecast with Bacula Backup Software Cata-
log Data Mining. In Computer Science & Information
Technology (CS & IT), pages 185–196. Academy &
Industry Research Collaboration Center (AIRCC).
Faria, H., Luiz Bordim, J., and Solis Barreto, P. (2017b).
Backup Storage Block Level Deduplication with
DDUMBFS and BACULA. International Journal of
Advanced Information Technology, 7(4):1–9.
Guise, P. d. (2008). Enterprise Systems Backup and Recov-
ery: A Corporate Insurance Policy. CRC Press, USA.
Google-Books-ID: 2OtqvySBTu4C.
Heslin, K. (2014). 2014 Data Center Industry Survey.
IDC (2014). Executive Summary: Data Growth, Business
Opportunities, and the IT Imperatives | The Digital
Universe of Opportunities: Rich Data and the Increas-
ing Value of the Internet of Things.
Ismail, B. I., Mydin, M. N. M., and Khalid, M. F. (2013).
Architecture of scalable backup service for private
cloud. In Open Systems (ICOS), 2013 IEEE Confer-
ence on, pages 174–179. IEEE.
Javaraiah, V. (2011). Backup for cloud and disaster recov-
ery for consumers and SMBs. In Advanced Networks
and Telecommunication Systems (ANTS), 2011 IEEE
5th International Conference on, pages 1–3. IEEE.
Jian-hua, Z. and Nan, Z. (2011). Cloud Computing-based
Data Storage and Disaster Recovery. pages 629–632.
IEEE.
Kaiser, J., S
¨
uß, T., Nagel, L., and Brinkmann, A. (2016).
Sorted deduplication: How to process thousands of
backup streams. In Mass Storage Systems and Tech-
nologies (MSST), 2016 32th Symposium on. IEEE.
Kashiwazaki, H. (2012). Practical uses of cloud computing
services in a Japanese university of the arts against af-
termath of the 2011 Tohoku earthquake. In Proceed-
ings of the 40th annual ACM SIGUCCS conference on
User services, pages 49–52. ACM.
Khoshkholghi, M. A., Abdullah, A., Latip, R., Subrama-
niam, S., and Othman, M. (2014). Disaster Recovery
in Cloud Computing: A Survey. Computer and Infor-
mation Science, 7(4):39.
Pokharel, M., Lee, S., and Park, J. S. (2010). Disaster Re-
covery for System Architecture Using Cloud Comput-
ing. pages 304–307. IEEE.
Prakash, S., Mody, S., Wahab, A., Swaminathan, S., and
Paramount, R. (2012). Disaster recovery services
in the cloud for SMEs. In Cloud Computing Tech-
nologies, Applications and Management (ICCCTAM),
2012 International Conference on, pages 139–144.
IEEE.
Raju, M. R., Prakash, J. P., and Rao, G. R. (2012). Disaster
Recovery of Servers using Virtualized Cloud Comput-
ing.
Ried, S., Kisker, H., and Bartels, A. (2011). Sizing The
Cloud.
Russell, D., Rinnen, P., and Rhame, R. (2016). Magic
Quadrant for Data Center Backup and Recovery Soft-
ware.
Silva, T. J. (2014). Uma arquitetura de cloud storage para
backup de arquivos.
Ueno, Y., Miyaho, N., Suzuki, S., and Ichihara, K.
(2010). Performance Evaluation of a Disaster Recov-
ery System and Practical Network System Applica-
tions. pages 195–200. IEEE.
Wood, T., Cecchet, E., Ramakrishnan, K. K., Shenoy, P. J.,
van der Merwe, J. E., and Venkataramani, A. (2010).
Disaster Recovery as a Cloud Service: Economic
Benefits & Deployment Challenges. HotCloud, 10:8–
15.
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