Case Study - VOD and PPV Migration
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This case study discusses the migration of 20TB of video database to the cloud for a video-on-demand and pay-per-view organization. Solutions for upgrading legacy software, developing custom solutions, moving to cloud-based hosted suite solution, and hybrid solution are provided. Comparative analysis of cloud solutions is also included.
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Running head: CASE STUDY - VOD AND PPV MIGRATION
CASE STUDY - VOD AND PPV MIGRATION
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CASE STUDY - VOD AND PPV MIGRATION
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1CASE STUDY - VOD AND PPV MIGRATION
Abstract
Cloud implementation is the latest technology that every organization is implementing in
their business to get ahead of their competitors. It is a common phenomenon that an
organization takes up the latest technological advancement and implements in their
business process for the benefit of the clients and the business itself. Cloud
implementation is not just a latest technical innovation in business but also a feasible
technology that allows migration of pile loads of databases into the virtual network
servers that has no physical existence. In the provided case scenario, an organization
providing a video-on-demand and pay-per-view or VOD and PPV would like to migrate
its 20TB of Video Database to the cloud. It would also make the clients access its video
library from the cloud including live streaming of the videos. This change in the
organization would be suggested based on the solution of replacement of the legacy
system, developing a specialized custom solution, cloud-based hosted suite solution
and a hybrid solution. All of these would be included in the report as below.
Abstract
Cloud implementation is the latest technology that every organization is implementing in
their business to get ahead of their competitors. It is a common phenomenon that an
organization takes up the latest technological advancement and implements in their
business process for the benefit of the clients and the business itself. Cloud
implementation is not just a latest technical innovation in business but also a feasible
technology that allows migration of pile loads of databases into the virtual network
servers that has no physical existence. In the provided case scenario, an organization
providing a video-on-demand and pay-per-view or VOD and PPV would like to migrate
its 20TB of Video Database to the cloud. It would also make the clients access its video
library from the cloud including live streaming of the videos. This change in the
organization would be suggested based on the solution of replacement of the legacy
system, developing a specialized custom solution, cloud-based hosted suite solution
and a hybrid solution. All of these would be included in the report as below.
2CASE STUDY - VOD AND PPV MIGRATION
Table of Contents
Introduction........................................................................................................................2
Solutions for the options................................................................................................2
• Option 1: Upgrade the legacy software & replace with proprietary solution............2
• Option 2: Develop a custom solution specialized to the new needs of the provided
business case.............................................................................................................2
• Option 3: Move to a cloud-based hosted suite solution...........................................3
• Option 4: A hybrid solution of options 1- 3...............................................................3
Merits and drawbacks of the solution............................................................................4
Comparative analysis of Cloud Solution in Option 3.....................................................5
Conclusion.........................................................................................................................6
References.........................................................................................................................7
Table of Contents
Introduction........................................................................................................................2
Solutions for the options................................................................................................2
• Option 1: Upgrade the legacy software & replace with proprietary solution............2
• Option 2: Develop a custom solution specialized to the new needs of the provided
business case.............................................................................................................2
• Option 3: Move to a cloud-based hosted suite solution...........................................3
• Option 4: A hybrid solution of options 1- 3...............................................................3
Merits and drawbacks of the solution............................................................................4
Comparative analysis of Cloud Solution in Option 3.....................................................5
Conclusion.........................................................................................................................6
References.........................................................................................................................7
3CASE STUDY - VOD AND PPV MIGRATION
Introduction
Migrating physical databases into the cloud is the latest business strategy that is
being implemented in the latest business era. This is a result of the technological
development and the urge of the business organizations to excel better than their
competitors by adapting to these developments (Ahmad et al., 2015). In this particular
case, a video-on-demand and pay-per-view or VOD and PPV organization is looking for
a migration of their 20 terabytes of database to the cloud for saving costs for the
business. However, this migration has some impending challenges that would be
addressed in this report while providing solutions for the same.
Solutions for the options
• Option 1: Upgrade the legacy software & replace with proprietary solution
Legacy software system can be defined as the primary software using primitive
techniques (Hashem et al., 2015). Replacing it with the proprietary solution would be the
latest implementation of the cloud solution systems in the organization, which would be
migration of the video database into the cloud for this case. This solution is feasible for
the sole reason that having huge physical legacy system software of video database
would have a high chance of data mismanagement and loss. It is thus an easier
proprietary solution for the organization to migrate their entire video database to the
cloud.
• Option 2: Develop a custom solution specialized to the new needs of the
provided business case
Other than migrating into the cloud, there are some customized solutions that
would fit the needs of the organization to mitigate the challenges that appear in the data
migration process. These can be described as below:
Discovering the VMware and assessing: Assessment of the existing
applications is necessary while migrating in the clouds for meeting both
business values and checking the synchronization with the technicalities.
Critical dependencies and terms of architecture needs to be checked
beforehand to maintain proper migration synchronization.
Resource and cost assessment: Many consultants process free
migration processes but once the servers are deployed into the cloud, all
the expenditures behind it can be tracked, forecasted and optimized. This
would help in assessing 84 per cent of onsite and VMware server costs to
cloud migration.
• Option 3: Move to a cloud-based hosted suite solution
There are several cloud-based hosts that serve three major schematics. These
are the IaaS, PaaS and the SaaS (Boutaba, Zhang and Zhani 2014). For this solution,
the organization would have to research about the cloud server provider and the cloud
infrastructure the provider has. SaaS provides software as a service and thus it would
provide several software solutions for the storage, retrieval and backup of the migrated
video data and moreover several tools that support streaming of videos over the cloud
would be a better idea. The use of one such tool would be preferable for the benefit of
the organization to support live streaming with the help of cloud servers. As per the
Introduction
Migrating physical databases into the cloud is the latest business strategy that is
being implemented in the latest business era. This is a result of the technological
development and the urge of the business organizations to excel better than their
competitors by adapting to these developments (Ahmad et al., 2015). In this particular
case, a video-on-demand and pay-per-view or VOD and PPV organization is looking for
a migration of their 20 terabytes of database to the cloud for saving costs for the
business. However, this migration has some impending challenges that would be
addressed in this report while providing solutions for the same.
Solutions for the options
• Option 1: Upgrade the legacy software & replace with proprietary solution
Legacy software system can be defined as the primary software using primitive
techniques (Hashem et al., 2015). Replacing it with the proprietary solution would be the
latest implementation of the cloud solution systems in the organization, which would be
migration of the video database into the cloud for this case. This solution is feasible for
the sole reason that having huge physical legacy system software of video database
would have a high chance of data mismanagement and loss. It is thus an easier
proprietary solution for the organization to migrate their entire video database to the
cloud.
• Option 2: Develop a custom solution specialized to the new needs of the
provided business case
Other than migrating into the cloud, there are some customized solutions that
would fit the needs of the organization to mitigate the challenges that appear in the data
migration process. These can be described as below:
Discovering the VMware and assessing: Assessment of the existing
applications is necessary while migrating in the clouds for meeting both
business values and checking the synchronization with the technicalities.
Critical dependencies and terms of architecture needs to be checked
beforehand to maintain proper migration synchronization.
Resource and cost assessment: Many consultants process free
migration processes but once the servers are deployed into the cloud, all
the expenditures behind it can be tracked, forecasted and optimized. This
would help in assessing 84 per cent of onsite and VMware server costs to
cloud migration.
• Option 3: Move to a cloud-based hosted suite solution
There are several cloud-based hosts that serve three major schematics. These
are the IaaS, PaaS and the SaaS (Boutaba, Zhang and Zhani 2014). For this solution,
the organization would have to research about the cloud server provider and the cloud
infrastructure the provider has. SaaS provides software as a service and thus it would
provide several software solutions for the storage, retrieval and backup of the migrated
video data and moreover several tools that support streaming of videos over the cloud
would be a better idea. The use of one such tool would be preferable for the benefit of
the organization to support live streaming with the help of cloud servers. As per the
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4CASE STUDY - VOD AND PPV MIGRATION
consultant’s suggestions, with convenient internet access, the crowdsourced streaming,
which supports single sourced video streaming paradigm, would be the best solution for
the organization. This would generate video streaming from the cloud even from the fine
granularity of the cloud servers for cost effective video streaming,
• Option 4: A hybrid solution of options 1- 3
Hybrid solution for the options 1-3 would require that the organization specifically
uses a SaaS cloud server with huge database area and the ability to transfer the data
faster than usual. Since the amount of data is nearly 20TB, the cost and time for the
data backup would be much higher. Therefore, the solution would not be much
economic. It is observed that data is copied couple of times per day, instead of in real-
time and the copies are stored on a cost-effective storage system in a backup format
(Ferris 2015). This creates a problem in data recovery as duplication of data and
recreation of the entire application, which leads to RTOs of hours and RPO of
potentially days.
This problem can be eliminated by affording 15 minute recoveries of the
RPO/RTOs which would ensure that no data has been transferred lowering the RTOs.
Merits and drawbacks of the solution
The merits and drawbacks of the solutions are described as below:
Merits Demerits
1. Improved results and reliability: The
latest implementations would definitely
engage in producing comparatively better
results and provide more reliability for the
implemented solution.
1. Cost: The solutions generated are bit
high in monetary range to implement in
comparison to the previous system
2. Security and Efficiency: The solutions
mentioned provide better security and
efficiency to the system functionalities.
2. Too Specific: The solution is too
specific to the problem thus suggesting to
implement specific changes to a problem
without considering other situations of the
organization
3. Internal Control: The provided
solutions have much increased internal
control than the traditionally used system.
3. Time consummation: It would be a bit
time consuming for the entire organization
to change the entire framework of the
previous system and implement an
absolutely new one in order with training
the staff.
4. Scalability and usability: The newest
implementation suggestion has a better
scalability and usability in comparison with
the previous system
4. Risk: Risk associated with the new
system is ample since the systems are
working at the cloud environment.
5. Interoperability: Being interoperable is
a huge impact on a business when it tries
to implement a new system, thus it has
5. Quality: The quality of production at
first may not be acceptable by the
organization since it has not been familiar
consultant’s suggestions, with convenient internet access, the crowdsourced streaming,
which supports single sourced video streaming paradigm, would be the best solution for
the organization. This would generate video streaming from the cloud even from the fine
granularity of the cloud servers for cost effective video streaming,
• Option 4: A hybrid solution of options 1- 3
Hybrid solution for the options 1-3 would require that the organization specifically
uses a SaaS cloud server with huge database area and the ability to transfer the data
faster than usual. Since the amount of data is nearly 20TB, the cost and time for the
data backup would be much higher. Therefore, the solution would not be much
economic. It is observed that data is copied couple of times per day, instead of in real-
time and the copies are stored on a cost-effective storage system in a backup format
(Ferris 2015). This creates a problem in data recovery as duplication of data and
recreation of the entire application, which leads to RTOs of hours and RPO of
potentially days.
This problem can be eliminated by affording 15 minute recoveries of the
RPO/RTOs which would ensure that no data has been transferred lowering the RTOs.
Merits and drawbacks of the solution
The merits and drawbacks of the solutions are described as below:
Merits Demerits
1. Improved results and reliability: The
latest implementations would definitely
engage in producing comparatively better
results and provide more reliability for the
implemented solution.
1. Cost: The solutions generated are bit
high in monetary range to implement in
comparison to the previous system
2. Security and Efficiency: The solutions
mentioned provide better security and
efficiency to the system functionalities.
2. Too Specific: The solution is too
specific to the problem thus suggesting to
implement specific changes to a problem
without considering other situations of the
organization
3. Internal Control: The provided
solutions have much increased internal
control than the traditionally used system.
3. Time consummation: It would be a bit
time consuming for the entire organization
to change the entire framework of the
previous system and implement an
absolutely new one in order with training
the staff.
4. Scalability and usability: The newest
implementation suggestion has a better
scalability and usability in comparison with
the previous system
4. Risk: Risk associated with the new
system is ample since the systems are
working at the cloud environment.
5. Interoperability: Being interoperable is
a huge impact on a business when it tries
to implement a new system, thus it has
5. Quality: The quality of production at
first may not be acceptable by the
organization since it has not been familiar
5CASE STUDY - VOD AND PPV MIGRATION
been kept in mind by the consultants to
suggest the most interoperable solution in
comparison with the previous one (Xu et
al. 2014).
with before, but it is assumed that sooner
or later the organization will accept the
production quality the new system is
providing.
6. Flexibility: The system is much flexible
and thus there are easy solutions to any
obstacle that arises while performing a
task.
7. Commercialization: The system is
commercialized and easily available, thus
remote access would not be a problem in
terms of handling the system as well
Comparative analysis of Cloud Solution in Option 3
The comparative analysis of the Cloud Solution in option 3 can be described as a
comparison between the cloud solutions that are suggested to be implemented in the
business process of the organization as well as in the change of database and the
traditional system that had been in vogue in the organization’s environment
(Rittinghouse and Ransome 2016). The solutions can be listed as following:
Time taken for migration: After the migration process is done, a final
synchronization is to be checked to make sure the data is consistent.
Complexity: Data migration is not risk-free, therefore security check-up and
UI management is absolutely necessary.
Performance and cost: Cloud migration is a process that would need a
considerable amount of monetary investment and this need to be checked to
assure that the amount is meeting the requirements for the organization
(Spaltro et al., 2016).
Conclusion
Therefore, it can be concluded from the above report that the consultant
company has given several insights about all the situations and the solutions along with
the merits and demerits of the systems as well; since there have been significant
changes in the business process for migrating a huge amount of data to cloud along
with VMware and onsite servers. The consulting company has provided information
based on each of the four possibilities based on the respective case study paying
special focus on the third opportunity. A comparative analysis of cloud solutions with
special focus on the third opportunity has also been provided stating their merits and
demerits along with it.
been kept in mind by the consultants to
suggest the most interoperable solution in
comparison with the previous one (Xu et
al. 2014).
with before, but it is assumed that sooner
or later the organization will accept the
production quality the new system is
providing.
6. Flexibility: The system is much flexible
and thus there are easy solutions to any
obstacle that arises while performing a
task.
7. Commercialization: The system is
commercialized and easily available, thus
remote access would not be a problem in
terms of handling the system as well
Comparative analysis of Cloud Solution in Option 3
The comparative analysis of the Cloud Solution in option 3 can be described as a
comparison between the cloud solutions that are suggested to be implemented in the
business process of the organization as well as in the change of database and the
traditional system that had been in vogue in the organization’s environment
(Rittinghouse and Ransome 2016). The solutions can be listed as following:
Time taken for migration: After the migration process is done, a final
synchronization is to be checked to make sure the data is consistent.
Complexity: Data migration is not risk-free, therefore security check-up and
UI management is absolutely necessary.
Performance and cost: Cloud migration is a process that would need a
considerable amount of monetary investment and this need to be checked to
assure that the amount is meeting the requirements for the organization
(Spaltro et al., 2016).
Conclusion
Therefore, it can be concluded from the above report that the consultant
company has given several insights about all the situations and the solutions along with
the merits and demerits of the systems as well; since there have been significant
changes in the business process for migrating a huge amount of data to cloud along
with VMware and onsite servers. The consulting company has provided information
based on each of the four possibilities based on the respective case study paying
special focus on the third opportunity. A comparative analysis of cloud solutions with
special focus on the third opportunity has also been provided stating their merits and
demerits along with it.
6CASE STUDY - VOD AND PPV MIGRATION
References
Ahmad, R.W., Gani, A., Hamid, S.H.A., Shiraz, M., Yousafzai, A. and Xia, F., 2015. A
survey on virtual machine migration and server consolidation frameworks for cloud data
centers. Journal of Network and Computer Applications, 52, pp.11-25.
Almorsy, M., Grundy, J. and Müller, I., 2016. An analysis of the cloud computing
security problem. arXiv preprint arXiv:1609.01107.
Boutaba, R., Zhang, Q. and Zhani, M.F., 2014. Virtual machine migration in cloud
computing environments: Benefits, challenges, and approaches. In Communication
Infrastructures for Cloud Computing (pp. 383-408). IGI Global.
Di Spaltro, D., Polvi, A. and Welliver, L., RACKSPACE US Inc, 2016. Methods and
systems for cloud computing management. U.S. Patent 9,501,329.
Ferris, J.M., Red Hat Inc, 2015. Migrating data among cloud-based storage networks
via a data distribution service. U.S. Patent 8,984,269.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015.
The rise of “big data” on cloud computing: Review and open research
issues. Information Systems, 47, pp.98-115.
Rittinghouse, J.W. and Ransome, J.F., 2016. Cloud computing: implementation,
management, and security. CRC press.
Xu, F., Liu, F., Jin, H. and Vasilakos, A.V., 2014. Managing performance overhead of
virtual machines in cloud computing: A survey, state of the art, and future
directions. Proceedings of the IEEE, 102(1), pp.11-31.
References
Ahmad, R.W., Gani, A., Hamid, S.H.A., Shiraz, M., Yousafzai, A. and Xia, F., 2015. A
survey on virtual machine migration and server consolidation frameworks for cloud data
centers. Journal of Network and Computer Applications, 52, pp.11-25.
Almorsy, M., Grundy, J. and Müller, I., 2016. An analysis of the cloud computing
security problem. arXiv preprint arXiv:1609.01107.
Boutaba, R., Zhang, Q. and Zhani, M.F., 2014. Virtual machine migration in cloud
computing environments: Benefits, challenges, and approaches. In Communication
Infrastructures for Cloud Computing (pp. 383-408). IGI Global.
Di Spaltro, D., Polvi, A. and Welliver, L., RACKSPACE US Inc, 2016. Methods and
systems for cloud computing management. U.S. Patent 9,501,329.
Ferris, J.M., Red Hat Inc, 2015. Migrating data among cloud-based storage networks
via a data distribution service. U.S. Patent 8,984,269.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015.
The rise of “big data” on cloud computing: Review and open research
issues. Information Systems, 47, pp.98-115.
Rittinghouse, J.W. and Ransome, J.F., 2016. Cloud computing: implementation,
management, and security. CRC press.
Xu, F., Liu, F., Jin, H. and Vasilakos, A.V., 2014. Managing performance overhead of
virtual machines in cloud computing: A survey, state of the art, and future
directions. Proceedings of the IEEE, 102(1), pp.11-31.
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7CASE STUDY - VOD AND PPV MIGRATION
Appendix – Bibliography
Chen, F., Zhang, C., Wang, F. and Liu, J., 2015, April. Crowdsourced live streaming
over the cloud. In Computer Communications (INFOCOM), 2015 IEEE Conference
on (pp. 2524-2532). IEEE.
Lim, P.U., Choi, C.Y. and Choi, H.K., 2017. Cloud Assisted P2P Live Video Streaming
over DHT Overlay Network. 전전전전전전전, 66(1), pp.89-99.
Machen, A., Wang, S., Leung, K.K., Ko, B.J. and Salonidis, T., 2018. Live service
migration in mobile edge clouds. IEEE Wireless Communications, 25(1), pp.140-147.
Tseng, H.W., Yang, T.T., Yang, K.C. and Chen, P.S., 2018. An energy efficient vm
management scheme with power-law characteristic in video streaming data
centers. IEEE Transactions on Parallel and Distributed Systems, 29(2), pp.297-311.
Wamser, F., Loh, F., Seufert, M., Tran-Gia, P., Bruschi, R. and Lago, P., 2017, May.
Dynamic cloud service placement for live video streaming with a remote-controlled
drone. In Integrated Network and Service Management (IM), 2017 IFIP/IEEE
Symposium on (pp. 893-894). IEEE.
Zhang, H., Ananthanarayanan, G., Bodik, P., Philipose, M., Bahl, P. and Freedman,
M.J., 2017, March. Live Video Analytics at Scale with Approximation and Delay-
Tolerance. In NSDI (Vol. 9, p. 1).
Zheng, Y., Wu, D., Ke, Y., Yang, C., Chen, M. and Zhang, G., 2017. Online cloud
transcoding and distribution for crowdsourced live game video streaming. IEEE
Transactions on Circuits and Systems for Video Technology, 27(8), pp.1777-1789.
Zhu, X., Chan, D.S., Hu, H., Prabhu, M.S., Ganesan, E. and Bonomi, F., 2015.
IMPROVING VIDEO PERFORMANCE WITH EDGE SERVERS IN THE FOG
COMPUTING ARCHITECTURE. Intel Technology Journal, 19(1).
Appendix – Bibliography
Chen, F., Zhang, C., Wang, F. and Liu, J., 2015, April. Crowdsourced live streaming
over the cloud. In Computer Communications (INFOCOM), 2015 IEEE Conference
on (pp. 2524-2532). IEEE.
Lim, P.U., Choi, C.Y. and Choi, H.K., 2017. Cloud Assisted P2P Live Video Streaming
over DHT Overlay Network. 전전전전전전전, 66(1), pp.89-99.
Machen, A., Wang, S., Leung, K.K., Ko, B.J. and Salonidis, T., 2018. Live service
migration in mobile edge clouds. IEEE Wireless Communications, 25(1), pp.140-147.
Tseng, H.W., Yang, T.T., Yang, K.C. and Chen, P.S., 2018. An energy efficient vm
management scheme with power-law characteristic in video streaming data
centers. IEEE Transactions on Parallel and Distributed Systems, 29(2), pp.297-311.
Wamser, F., Loh, F., Seufert, M., Tran-Gia, P., Bruschi, R. and Lago, P., 2017, May.
Dynamic cloud service placement for live video streaming with a remote-controlled
drone. In Integrated Network and Service Management (IM), 2017 IFIP/IEEE
Symposium on (pp. 893-894). IEEE.
Zhang, H., Ananthanarayanan, G., Bodik, P., Philipose, M., Bahl, P. and Freedman,
M.J., 2017, March. Live Video Analytics at Scale with Approximation and Delay-
Tolerance. In NSDI (Vol. 9, p. 1).
Zheng, Y., Wu, D., Ke, Y., Yang, C., Chen, M. and Zhang, G., 2017. Online cloud
transcoding and distribution for crowdsourced live game video streaming. IEEE
Transactions on Circuits and Systems for Video Technology, 27(8), pp.1777-1789.
Zhu, X., Chan, D.S., Hu, H., Prabhu, M.S., Ganesan, E. and Bonomi, F., 2015.
IMPROVING VIDEO PERFORMANCE WITH EDGE SERVERS IN THE FOG
COMPUTING ARCHITECTURE. Intel Technology Journal, 19(1).
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