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i-manager's Journal on Cloud Computing (JCC)

Current Issue Vol. 10 Issue 2

Most Cited

Volume 8 Issue 2 July - December 2021

Article

The Role of Cloud Computing in Media and Entertainment Sector

Kainaz Bomi Sherdiwala* , Z. F. Wadia, N. K. Jhota*

*-*** Department of Computer Application, Veer Narmad South Gujarat University, Surat, India.

Sherdiwala, K. B., Wadia, Z. F., and Jhota, N.K. (2021). The Role of Cloud Computing in Media and Entertainment Sector. i-manager’s Journal on Cloud Computing, 8(2), 1-4. https://doi.org/10.26634/jcc.8.2.18123

Abstract

This paper discussed the importance of cloud computing in the field of the media and entertainment (M & E). It also discussed the challenges that are faced by M & E companies. It also listed a few media companies who have shifted towards the cloud. Finally, it has included the future related to cloud computing.

References

[1]. Esds. (n.d). Cloud takes Media and Entertainment Industry to the Next Level. Retrieved from https://www.esds. co.in/blog/cloud-takes-media-entertainment-to-next-level/

[2]. Georgakopoulos, D., Ranjan, R., Mitra, K., & Zhou, X. (2012). MediaWise-Designing a smart media cloud. arXiv preprint arXiv:1206.1943. https://doi.org/10.48550/arXiv. 1206.1943

[3]. Investopedia. (n.d.). The World's Top Media Companies. Retrieved from https://www.investopedia. com/stock-analysis/021815/worlds-top-ten-media-com panies-dis-cmcsa-fox.aspx

[4]. Netapp. (n.d.). Cloud Computing in the Media and Entertainment Industry: Customer Case Studies with Cloud Volumes ONTAP. Retrieved from https://cloud.netapp.com/ blog/benefits-of-cloud-computing-in-media-industry

[5]. Ranjan, R., Mitra, K., & Georgakopoulos, D. (2013). MediaWise cloud content orchestrator. Journal of Internet Services and Applications, 4(1), 1-14. https://doi.org/10. 1186/1869-0238-4-2

[6]. Wang, C., Meng, M., Zhou, X., & Ranjan, R. (2012, November). A Social Network Based Collaborative Video Story Composition Platform. In International Conference on Service-Oriented Computing (pp. 443-446). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642- 37804-1_49

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Research Paper

Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing

S. Simon Thomas* , R. Krishna Prakash**

*-** Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tholurpatti, Tamil Nadu, India.

Thomas, S. S., and Prakash, R. K. (2021). Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing. i-manager’s Journal on Cloud Computing, 8(2), 5-9. https://doi.org/10.26634/jcc.8.2.16737

Abstract

Cloud computing is well-known for delivering hosted services over the Internet. These services are mainly divided into three, such as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Cloud computing uses the computer system resources, especially storage, and computing power, and is available on-demand without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet. Large clouds are predominant today, and data de-duplication is one of the strategies used to solve the repetition of information. This paper proposes preventing the replication of documents and media records like pictures using the TinEye algorithm. The deduplication strategies are commonly used in the cloud server to decrease the server's gap. To save the unauthorized use of statistics and gaining access to and creating reproduction information on the cloud, the encryption approach is to encrypt the facts before being stored on a cloud server. In this proposed system CloudMe is used for cloud storage. All files are encrypted using the AES algorithm and saved in the real cloud. A secure system architecture layout provides secure deduplication. The design permits the cloud with the critical de duplication functionality to completely cast off the bigger storage and bandwidth price. Thus, the proposed system involves image files in opposition to deduplication strategies to eliminate more storage and bandwidth value.

References

[1]. Ateniese, G., Di Pietro, R., Mancini, L. V., & Tsudik, G. (2008, September). Scalable and efficient provable data possession. In Proceedings of the 4^th International Conference on Security and Privacy in Communication Networks (pp. 1-10). https://doi.org/10.1145/1460877.146 0889

[2]. Buyya, R., Yeo, C. S., & Venugopal, S. (2008, September). Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. In 2008, 10^th IEEE International Conference on High Performance Computing and Communications (pp. 5- 13). IEEE. https://doi.org/10.1109/HPCC.2008.172

[3]. Goyal, S. (2014). Public vs private vs hybrid vs community-cloud computing: A critical review. International Journal of Computer Network and Information Security, 6(3), 20-29.

[4]. Hur, J., Koo, D., Shin, Y., & Kang, K. (2016). Secure data deduplication with dynamic ownership management in cloud storage. IEEE Transactions on Knowledge and Data Engineering, 28(11), 3113-3125. https://doi.org/10.1109/ TKDE.2016.2580139

[5]. Hussein, M. K., & Mousa, M. H. (2012). A light-weight data replication for cloud data centers environment. International Journal of Engineering and Innovative Technology, 1(6), 169-175.

[6]. Juels, A., & Kaliski Jr, B. S. (2007, October). PORs: Proofs of retrievability for large files. In Proceedings of the 14^th ACM Conference on Computer and Communications Security (pp. 584-597). https://doi.org/10.1145/1315245.1315317

[7]. Kharbach, M. (2010). TinEye Reverse Image Search Full Review. Educational Technology and Mobile Learning. Retrieved from https://www.educatorstechnology.com/ 2022/01/tineye-reverse-image-search-full-review.html

[8]. Kondo, D., Javadi, B., Malecot, P., Cappello, F., & Anderson, D. P. (2009, May). Cost-benefit analysis of cloud computing versus desktop grids. In 2009, IEEE International Symposium on Parallel & Distributed Processing (pp. 1-12). IEEE.

[9]. Li, J., Chen, X., Li, M., Li, J., Lee, P. P., & Lou, W. (2013). Secure deduplication with efficient and reliable convergent key management. IEEE Transactions on Parallel and Distributed Systems, 25(6), 1615-1625. https:// doi.org/10.1109/tpds.2013.284

[10]. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards & Technology, (pp.1-7).

[11]. Singh, S. K. R., & Agrahari, S. K. (2012). Ensuring data storage security in cloud computing. IOSR Journal of Engineering, 2(12), 17-21. https://doi.org/10.1109/IWQoS. 2009.5201385.

[12]. Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2008). A break in the clouds: towards a cloud definition. ACM Sigcomm Computer Communication Review, 39(1), 50-55. https://doi.org/10.1145/1496091.14 96100

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Research Paper

Cloud-Based Virtual Network Sharing Web Platform

Vishal G.*

Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Vishal, G. (2021). Cloud-Based Virtual Network Sharing Web Platform. i-manager’s Journal on Cloud Computing, 8(2), 10-17. https://doi.org/10.26634/jcc.8.2.15524

Abstract

Fast peer-to-peer real-time data transfer can be solved in two ways. One way is to use GOOSE which has very low latency. GOOSE is a relatively mature technology used in substation automation systems, but its configuration is based on Media Access Control (MAC) addresses, resulting in higher configuration requirements for project implementation; and its communication interaction coverage is limited to the same local area network, which affects the workload of distributed control applications. Another way is to use the User Datagram Protocol (UDP), which is widely used for fast data transmission over an Ethernet network. Theoretical analysis and test results show that the transmission delay of UDP mode is not larger than that of SMS transmission if the network traffic is less than 5 Mbps, which can fully satisfy the time delay requirements of distributed control applications. The priority of UDP packets is the same as the priority of communication data (mostly in TCP transmission mode) from the master station. If the network delay is highly dependent on the network load, UDP packets may be lost under heavy network traffic conditions, and therefore, fast peer-to-peer real-time data transmission between STUs cannot be guaranteed.

References

[1]. Chen, Y., Zhu, Z., Xu, B., Fan, K., & Wang, K. (2016, August). The use of IEC61850 for distribution automation. In 2016, China International Conference on Electricity Distribution (CICED) (pp. 1-4). IEEE. https://doi.org/10.1109/ CICED.2016.7576251

[2]. de Oliveira, C. H. R., & Bowen, A. P. (2012). Iec 61850 goose message over wan. In Proceedings of the International Conference on Wireless Networks (ICWN) (pp. 1-3).

[3]. Fan, K., Xu, B., Zhu, G., & Gao, J. (2014, September). Fast peer-to-peer real-time data transmission for distributed control of distribution network. In 2014, China International Conference on Electricity Distribution (CICED) (pp. 1041- 1045). IEEE. https://doi.org/10.1109/CICED.2014.6991864

[4]. Fan, Y., Wang, Q., Peng, H., Lin, S., Fan, K., & Chen, Y. (2016, November). GOOSE over UDP transmission mechanism for real-time data fast transmission in distribution network. In 2016, Seventh International Green and Sustainable Computing Conference (IGSC) (pp. 1-5). IEEE. https://doi.org/10.1109/IGCC.2016.7892588

[5]. Karagiannis, V. (2016). Area limitations on smart grid computer networks. International Journal of Wireless and Microwave Technologies (IJWMT), 6(3), 71-78. https://doi. org/10.5815/ijwmt.2016.03.08

[6]. Wang, K., Qiu, X., & Gao, Z. (2012). Service priority based reliable routing path select method in smart grid communication network. International Journal of Computer Science Issues (IJCSI), 9(6), 23-30.

[7]. Yadav, N., & Kapadia, E. (2010). IP and Ethernet Communication Technologies and Topologies for IED networks. Grid InterOp, 1-17.

[8]. Zhifeng, Z., Dong, A., Qincheng, Y., & Hongyuan, H. (2014, September). Communication research based on of Distributed intelligent Feeder Automation System of the distribution network. In 2014, China International Conference on Electricity Distribution (CICED) (pp. 1-4). IEEE. https://doi.org/10.1109/CICED.2014.6991661

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Research Paper

Modified Secure Storage and Erasure (SSE) Protocol for Deleting Secret Data

Gunagayathri Praseetha* , Sabarinathan E.**

*-** CMS College of Engineering, Namakkal, Tamil Nadu, India, India.

Praseetha, G., and Sabarinathan, E. (2021). Modified Secure Storage and Erasure (SSE) Protocol for Deleting Secret Data. i-manager’s Journal on Cloud Computing, 8(2), 18-22. https://doi.org/10.26634/jcc.8.2.15218

Abstract

Cloud computing shares data and processing for organizations from remote locations. Though authenticated systems are in place, hackers access secured data and delete or modify it. All current software-based verification can be processed with one-bit-return protocol: the delete sequence achieves data destruction causing revenue loss or system catastrophe. In certain cases, a deleted record in the cloud, could be salvaged by a hacker. This is especially challenging when the deletion database is compressed within a Trusted Platform Module (TPM) and the user does not have access to the private code. This paper, discusses how to clear hidden data using public authentication. The key indication in this proposal is based on a “trust-but-verify” pattern, which is usually relevant to many security glitches but was fundamentally despicable in the area of deleting protected data. The objective is that the deleted record must be purged permanently from the database. Finally, some evidence to determine its feasibility of SSA has also been discussed.

References

[1]. Agalya, R. V., & Lekshmi, K. K. (2014). A Verifiable Cloud Storage using Attribute Based Encryption and Outsourced Decryption with Recoverability. International Journal of Engineering and Innovative Technology, 3(10), 259-263.

[2]. Balu, A., & Kuppusamy, K. (2010). Ciphertext policy attribute based encryption with anonymous access policy. International Journal of Peer-to-Peer Networks, 1(1), 1-8. https://doi.org/10.5121/ijp2p.2010.1101

[3]. Hao, F., Clarke, D., & Zorzo, A. F. (2015). Deleting secret data with public verifiability. IEEE Transactions on Dependable and Secure Computing, 13(6), 617-629. https://doi.org/10.1109/TDSC.2015.2423684

[4]. Hsu, C. Y., Lu, C. S., & Pei, S. C. (2011, February). Homomorphic encryption-based secure SIFT for privacypreserving feature extraction. In Media Watermarking, Security, and Forensics III (Vol. 7880, pp. 32-48). SPIE.

[5]. Kleek, M. V., & OHara, K. (2014). The future of social is personal: The potential of the personal data store. In Social Collective Intelligence (pp. 125-158). Springer, Cham.

[6]. Li, M., Yu, S., Zheng, Y., Ren, K., & Lou, W. (2012). Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption. IEEE Transactions on Parallel and Distributed Systems, 24(1), 131-143. https://doi.org/10.1109/TPDS.2012.97

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Review Paper

Industrial Smart Asset Management for Power Services: Perspectives in Big Data

Sekoboto M.* , Poolo S., Kikawa C. R., Sematimba A., Ntirampeba D.

- The Da Vinci Institute, Lethabong, South Africa.

Department of Economics and Statistics, Kabale University, Kabale, Uganda.

Department of Mathematics, Gulu University, Uganda.

* Department of Mathematics and Statistics, Namibia University of Science and Technology, Windhoek, Namibia.

Sekoboto, M., Poolo, S., Kikawa, C. R., Sematimba, A., and Ntirampeba, D. (2021). Industrial Smart Asset Management for Power Services: Perspectives in Big Data. i-manager’s Journal on Cloud Computing, 8(2), 23-32. https://doi.org/10.26634/jcc.8.2.16475

Abstract

This study explores and discusses upcoming encounters with new technologies in line with big data. Power utilities collect large amounts of data. However, due to their large size and the ambiguity associated with it, they are rarely used. Condition monitoring of assets collects huge amounts of data during routine operations. The question "How to get information from a huge amount of data?" and the notion of "data-rich and information devoid" has faced significant resistance from analytics experts with the advent of support vector machines. Along with new technologies such as the Internet of Things (IoT), big data analytics will be actively used in power utilities. This study assesses the issues and points out ways to address them through paths and strategies to make asset management practices smarter for future generations.

References

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[2]. Akhavan-Hejazi, H., & Mohsenian-Rad, H. (2018). Power systems big data analytics: An assessment of paradigm shift barriers and prospects. Energy Reports, 4, 91-100. https://doi.org/10.1016/j.egyr.2017.11.002

[3]. Amarantidou, P. (2018). Computer and Network Forensics: investigating network traffic. International Hellenic University Scholar Works, 22(7), 97–114.

[4]. Baptista, M., Sankararaman, S., de Medeiros, I. P., Nascimento Jr, C., Prendinger, H., & Henriques, E. M. (2018). Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling. Computers & Industrial Engineering, 115, 41- 53. https://doi.org/10.1016/j.cie.2017.10.033

[5]. Beaten, D. (2018). The History and Economy of the World Accompanied by ICT. ISTE Group.

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[12]. Haes Alhelou, H., Hamedani-Golshan, M. E., Njenda, T. C., & Siano, P. (2019). A survey on power system blackout and cascading events: Research motivations and challenges. Energies, 12(4), 682. https://doi.org/10.3390/ en12040682

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i-manager's Journal on Cloud Computing (JCC)

Current Issue Vol. 10 Issue 2

Most Read

Most Cited

Volume 8 Issue 2 July - December 2021

The Role of Cloud Computing in Media and Entertainment Sector

Kainaz Bomi Sherdiwala* , Z. F. Wadia**, N. K. Jhota***

*-*** Department of Computer Application, Veer Narmad South Gujarat University, Surat, India.

Sherdiwala, K. B., Wadia, Z. F., and Jhota, N.K. (2021). The Role of Cloud Computing in Media and Entertainment Sector. i-manager’s Journal on Cloud Computing, 8(2), 1-4. https://doi.org/10.26634/jcc.8.2.18123

Abstract

References

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Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing

S. Simon Thomas* , R. Krishna Prakash**

*-** Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Tholurpatti, Tamil Nadu, India.

Thomas, S. S., and Prakash, R. K. (2021). Image De-Duplication by using Tin Eye Match Service Engine in Cloud Computing. i-manager’s Journal on Cloud Computing, 8(2), 5-9. https://doi.org/10.26634/jcc.8.2.16737

Abstract

References

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Cloud-Based Virtual Network Sharing Web Platform

Vishal G.*

Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Vishal, G. (2021). Cloud-Based Virtual Network Sharing Web Platform. i-manager’s Journal on Cloud Computing, 8(2), 10-17. https://doi.org/10.26634/jcc.8.2.15524

Abstract

References

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Modified Secure Storage and Erasure (SSE) Protocol for Deleting Secret Data

Gunagayathri Praseetha* , Sabarinathan E.**

*-** CMS College of Engineering, Namakkal, Tamil Nadu, India, India.

Praseetha, G., and Sabarinathan, E. (2021). Modified Secure Storage and Erasure (SSE) Protocol for Deleting Secret Data. i-manager’s Journal on Cloud Computing, 8(2), 18-22. https://doi.org/10.26634/jcc.8.2.15218

Abstract

References

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Industrial Smart Asset Management for Power Services: Perspectives in Big Data

Sekoboto M.* , Poolo S.**, Kikawa C. R.***, Sematimba A.****, Ntirampeba D.*****

Sekoboto, M., Poolo, S., Kikawa, C. R., Sematimba, A., and Ntirampeba, D. (2021). Industrial Smart Asset Management for Power Services: Perspectives in Big Data. i-manager’s Journal on Cloud Computing, 8(2), 23-32. https://doi.org/10.26634/jcc.8.2.16475

Abstract

References

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Kainaz Bomi Sherdiwala* , Z. F. Wadia, N. K. Jhota*

Sekoboto M.* , Poolo S., Kikawa C. R., Sematimba A., Ntirampeba D.