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7 CONCLUSÕES E TRABALHOS FUTUROS

7.2 TRABALHOS FUTUROS

Este trabalho apresentou uma solução para planejamento de infraestrutura em nuvem, para sistemas de educação a distância, utilizando modelos de dependabilidade e custo com a inclusão de análise de sensibilidade. Podemos elencar como trabalhos futuros os itens citados abaixo:

 Neste trabalho foram considerados a dependabilidade e o custo dos sistemas. Poderia ser acrescentada a análise de métricas de desempenho, com o intuito de avaliar a diferença da arquitetura resumida (Apenas um servidor de gerenciamento e um servidor nó) em relação a uma arquitetura com servidores específicos para os controladores de cluster (Com um servidor para o gerenciamento, um para o cluster e um para o nó);

 Poderia ser considerada a inclusão de tecnologias verdes, como a avaliação do gasto energético;

 A arquitetura básica deste trabalho foi planejada para ser a mais abrangente possível, de forma que alcance mais instituições de ensino que possam utilizar a solução. Poderia ser proposta uma arquitetura básica com storages de rede (SAN) para serem avaliadas pelos modelos de dependabilidade e custo.

 Este estudo visa à infraestrutura de computação em nuvens para nuvens privadas. Pode ser comparada com o uso de uma infraestrutura da computação em nuvem pública, como também com uma infraestrutura em nuvem híbrida.

 Avaliações de ambientes redundantes localizados em regiões diferentes. Como exemplo, uma instituição de ensino poderia ter duas infraestruturas em nuvem em campi diferentes, de modo que as duas poderiam funcionar ativamente;

 Este trabalho utilizou como infraestrutura em nuvem a plataforma Eucalyptus. Poderia ser feita a modelagem relacionada a outra plataforma em nuvem, como as Nimbus, OpenNebula e Open Stack. Ou até mesmo a comparação entre essas plataformas em nuvens.

 Poderia ser utilizada a Conteinerização na infraestrutura de computação em nuvem para comparação com a arquitetura atual.

REFERÊNCIAS

ARAUJO, Julian et al. Availability evaluation of digital library cloud services. In: 44th Annual IEEE/IFIP International Conference on Dependable Systems and

Networks (DSN), 2014. IEEE, 2014. p. 666-671.

ARBAUGH, J. Ben; DURAY, Rebecca. Technological and structural characteristics, student learning and satisfaction with web-based courses an exploratory study of two on-line MBA programs. Management learning, v. 33, n. 3, p. 331-347, 2002.

AVIZIENIS, Algirdas; LAPRIE, Jean-Claude; RANDELL, Brian. Fundamental concepts of computer system dependability. In: Workshop on Robot

Dependability: Technological Challenge of Dependable Robots in Human Environments. 2001. p. 1-16.

BAKOUCH, H. S. Probability, Markov Chains, Queues, and Simulation. Journal of Applied Statistics, Taylor & Francis, [S.l.], v.38, n.8, p.1746–1746, 2011.

BALBO, Gianfranco. Introduction to stochastic Petri nets. Lecture Notes in Computer Science, v. 2090, p. 84-155, 2001.

BAUER, Eric; ADAMS, Randee. Reliability and availability of cloud computing. John Wiley & Sons, Hoboken, New Jersey, 2012.

BAUER, Eric; ADAMS, Randee; EUSTACE, Daniel. Beyond redundancy: how geographic redundancy can improve service availability and reliability of computer-based systems. John Wiley & Sons, 2011.

BEZERRA, Maria Clara et al. Availability modeling and analysis of a vod service for eucalyptus platform. In: IEEE International Conference on Systems, Man and Cybernetics (SMC), 2014. IEEE, 2014. p. 3779-3784.

BHUASIRI, Wannasiri et al. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, v. 58, n. 2, p. 843-855, 2012.

BRASIL. Decreto no 8.135, de 4 de Novembro de 2013. Dispõe sobre as comunicações de dados da administração pública federal direta, autárquica e fundacional, e sobre a dispensa de licitação nas contratações que possam

comprometer a segurança nacional. Texto publicado no Diário Oficial da República Federativa do Brasil em 5/11/2013. Brasília, DF, 4 nov. 2013. Disponível em: <http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2013/decreto/D8135.htm>. Acesso em: 15 jul. 2017.

CALLOU, Gustavo et al. Models for dependability and sustainability analysis of data center cooling architectures. In: 42nd IEEE/IFIP International Conference on

Dependable Systems and Networks Workshops (DSN-W), 2012. IEEE, 2012. p. 1-6.

CORDEIRO, Thiago Damasceno et al. Open source cloud computing platforms. In: 9th International Conference on Grid and Cooperative Computing (GCC), 2010. IEEE, 2010. p. 366-371.

CHIU, Chao-Min et al. An empirical analysis of the antecedents of web-based learning continuance. Computers & Education, v. 49, n. 4, p. 1224-1245, 2007. DANTAS, Jamilson. Modelos para análise de dependabilidade de arquiteturas de computaçao em nuvem. 2013. 70 f. Dissertação (Mestrado em Ciência da

Computação) — Centro de Informática, Universidade Federal de Pernambuco, 2013. DANTAS, Jamilson et al. An availability model for eucalyptus platform: An analysis of warm-standy replication mechanism. In: IEEE International Conference on

Systems, Man, and Cybernetics (SMC), 2012. IEEE, 2012. p. 1664-1669.

DELL. PowerEdge R330 Rack Server. 2017. Disponível em: <http://www.dell.com/en-us/work/shop/productdetails/poweredge- r330/pe_r330_1065_a>. Acesso em: 10 jul 2017.

DONG, Bo et al. An e-learning ecosystem based on cloud computing infrastructure. In: Ninth IEEE International Conference on Advanced Learning Technologies, 2009. ICALT 2009. IEEE, 2009. p. 125-127.

EBELING, Charles E. An introduction to reliability and maintainability engineering. Tata McGraw-Hill Education, 2004.

EUCALYPTUS. Eucalyptus Open-Source Cloud Computing Infrastructure – An Overview. 2016. Disponível em < https://docs.eucalyptus.com/eucalyptus/latest/> Acesso em: 18 jun 2016.

FERDOUSI, Bilquis J. A study of factors that affect instructors’ intention to use e-learning systems in two-year colleges. 2009. 173 f. Tese (Doutorado em

Filosofia). Nova Southeastern University, 2009.

FULLER, Robert M.; VICIAN, Chelley; BROWN, Susan A. E-learning and individual characteristics: The role of computer anxiety and communication apprehension. Journal of Computer Information Systems, v. 46, n. 4, p. 103-115, 2006.

GERMAN, Reinhard. Performance analysis of communication systems with non- Markovian stochastic Petri nets. John Wiley & Sons, Inc., 2000.

GHAZIZADEH, Aida. Cloud computing benefits and architecture in e-learning. In: Seventh IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education (WMUTE), 2012. IEEE, 2012. p. 199-201.

GHOSH, Rahul et al. Stochastic model driven capacity planning for an infrastructure- as-a-service cloud. IEEE Transactions on Services Computing, v. 7, n. 4, p. 667- 680, 2014.

HAMBY, D. M. A review of techniques for parameter sensitivity analysis of

environmental models. Environmental monitoring and assessment, v. 32, n. 2, p. 135-154, 1994.

HANDY, J. The SSD Guy. 2014. Disponível em:

<URL:http://thessdguy.com/seagates-big-intro-four-new-ssd-families-in-one-day/>. Acesso em: 15 jul. 2017.

KIM, Dong Seong; MACHIDA, Fumio; TRIVEDI, Kishor S. Availability modeling and analysis of a virtualized system. In: 15th IEEE Pacific Rim International

Symposium on Dependable Computing, 2009. PRDC'09. IEEE, 2009. p. 365-371.

KUO, Way; ZUO, Ming J. Optimal reliability modeling: principles and applications. John Wiley & Sons, Hoboken, New Jersey, 2003.

LAISHENG, Xiao; ZHENGXIA, Wang. Cloud computing: a new business paradigm for E-learning. In: Third International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2011. IEEE, 2011. p. 716-719.

LEE, Ming-Chi. Explaining and predicting users’ continuance intention toward e- learning: An extension of the expectation–confirmation model. Computers & Education, v. 54, n. 2, p. 506-516, 2010.

LI, Xinhui et al. The method and tool of cost analysis for cloud computing. In: IEEE International Conference on Cloud Computing, 2009. CLOUD'09. IEEE, 2009. p. 93-100.

LIEBOWITZ, Jay; FRANK, Michael S. The synergy between knowledge management and e-learning. In: ______. Knowledge management and e-learning. Editora CRC Press, Boca Raton, Flórida, 2011. 3-9 p.

MACIEL, P. R. M.; LINS, R. D.; CUNHA, P. R. F. Introdução às Redes de Petri e Aplicações. Escola de Computação, Campinas, SP, 1996.

MACIEL, P.; TRIVEDI, Kishor; KIM, Dong. Dependability Modeling. In: ______. Performance and Dependability in Service Computing: Concepts, Techniques and Research Directions. Hershey: IGI Global, Pennsylvania, USA, 2010. v. 13. MADAN, Deepanshu et al. E-learning based on Cloud Computing. International Journal of Advanced Research in Computer Science and Software Engineering, v. 2, n 2, 2012.

MARSAN, M. A. et al. Modelling with Generalized Stochastic Petri Nets. ACM Sigmetrics Performance Evaluation Review, ACM Press New York, NY, USA, [S.l.], v.26, n.2, 1998.

MASUD, Md Anwar Hossain; HUANG, Xiaodi. An e-learning system architecture based on cloud computing. World Academy of Science, Engineering and Technology, v. 6, n. 2, 2012.

MELL, Peter; GRANCE, Tim. The NIST definition of cloud computing. National Institute of Standards and Technology, v. 53, n. 6, p. 50, 2009.

MELO, Rosangela Maria et al. Redundant VoD streaming service in a private cloud: availability modeling and sensitivity analysis. Mathematical Problems in

Engineering, 2014.

MERCURY. Mercury. 2017. Disponível em: < http://www.cin.ufpe.br/ bs/MercuryTool /mercury.html. >. Acesso em: 15 jul. 2017.

MOODLE. Moodle. 2017. Disponível em: <http://www.moodle.org.br/>. Acesso em: 10 jul. 2017.

MURATA, Tadao. Petri nets: Properties, analysis and applications. Proceedings of the IEEE, v. 77, n. 4, p. 541-580, 1989.

OZKAN, Sevgi; KOSELER, Refika. Multi-dimensional students’ evaluation of e- learning systems in the higher education context: An empirical investigation. Computers & Education, v. 53, n. 4, p. 1285-1296, 2009.

PATIDAR, Shyam; RANE, Dheeraj; JAIN, Pritesh. A survey paper on cloud computing. In: Second International Conference on Advanced Computing & Communication Technologies (ACCT), 2012. IEEE, 2012. p. 394-398.

PHANKOKKRUAD, Manop. Implement of cloud computing for e-learning system. In: International Conference on Computer & Information Science (ICCIS), 2012. IEEE, 2012. p. 7-11.

POCATILU, Paul; ALECU, Felician; VETRICI, Marius. Using cloud computing for E- learning systems. In: Proceedings of the 8th WSEAS international conference on Data networks, communications, computers. World Scientific and Engineering Academy and Society (WSEAS), 2009. p. 54-59.

POCATILU, Paul; ALECU, Felician; VETRICI, Marius. Measuring the efficiency of cloud computing for e-learning systems. WSEAS Transactions on Computers, v. 9, n. 1, p. 42-51, 2010.

RUPE, J. W. Reliability of Computer Systems and Networks Fault Tolerance, Analysis, and Design. IIE Transactions, Taylor & Francis, [S.l.], v.35, n.6, p.586– 587, 2003.

SELIM, Hassan M. Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, v. 49, n. 2, p. 396-413, 2007.

SHARMA, Sushil K.; KITCHENS, Fred L. Web services architecture for m-learning. Electronic Journal of e-Learning, v. 2, n. 1, p. 203-216, 2004.

SILVA, Bruno et al. Dependability models for designing disaster tolerant cloud computing systems. In: 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013. IEEE, 2013. p. 1-6.

SILVA, Bruno et al. Geoclouds modcs: A perfomability evaluation tool for disaster tolerant iaas clouds. In: 8th Annual IEEE Systems Conference (SysCon), 2014. IEEE, 2014. p. 116-122.

SIRITONGTHAWORN, Sawai et al. The study of e-learning technology

implementation: A preliminary investigation of universities in Thailand. Education and Information Technologies, v. 11, n. 2, p. 137-160, 2006.

SOONG, MH Benson et al. Critical success factors for on-line course resources. Computers & Education, v. 36, n. 2, p. 101-120, 2001.

SOUSA, Erica. Modelagem de desempenho, dependabilidade e custo para o planejamento de infraestruturas de nuvens privadas. 2015. 174 f. Tese (Doutorado em Ciência da Computação) — Centro de Informática, Universidade Federal de Pernambuco, Recife, 2015.

SOUSA, Erica et al. Dependability evaluation of cloud infrastructures. In: IEEE International Conference on Systems, Man and Cybernetics (SMC), 2014. IEEE, 2014a. p. 1282-1287.

SOUSA, Erica et al. Performance and Cost Modeling Strategy for Cloud Infrastructure Planning. In: 7th IEEE International Conference on Cloud Computing (CLOUD), 2014. IEEE, 2014b. p. 546-553.

SOUSA, Erica et al. A modeling approach for cloud infrastructure planning

considering dependability and cost requirements. IEEE Transactions on Systems, Man, and Cybernetics: Systems, v. 45, n. 4, p. 549-558, 2015.

SOUSA, Erica et al. Cloud infrastructure planning considering different redundancy mechanisms. Computing, p. 1-24, 2017.

SUN, Pei-Chen et al. What drives a successful e-Learning? An empirical

investigation of the critical factors influencing learner satisfaction. Computers & education, v. 50, n. 4, p. 1183-1202, 2008.

VOLERY, Thierry; LORD, Deborah. Critical success factors in online education. International journal of educational management, v. 14, n. 5, p. 216-223, 2000.

WEI, Bing; LIN, Chuang; KONG, Xiangzhen. Dependability modeling and analysis for the virtual data center of cloud computing. In: 13th IEEE International Conference on High Performance Computing and Communications (HPCC), 2011. IEEE, 2011. p. 784-789.

WELSH, Elizabeth T. et al. E‐learning: emerging uses, empirical results and future directions. International Journal of Training and Development, v. 7, n. 4, p. 245- 258, 2003.

XIE, Liyang; ZHOU, Jinyu; HAO, Changzhong. System-level load–strength

interference based reliability modeling of k-out-of-n system. Reliability Engineering & System Safety, v. 84, n. 3, p. 311-317, 2004.

ZHANG, Dongsong et al. Can e-learning replace classroom learning? Communications of the ACM, v. 47, n. 5, p. 75-79, 2004.

ZHANG, Qi; CHENG, Lu; BOUTABA, Raouf. Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, v. 1, n. 1, p. 7- 18, 2010.

ZHANG, Tieling; XIE, Min; HORIGOME, Michio. Availability and reliability of k-out-of- (m+n): g warm standby systems. Reliability Engineering & System Safety, v. 91, n. 4, p. 381-387, 2006.

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