COMP2207 | Web Computing | The Implementation Of Cloud Instance

You are required to conduct research on how you will implement the web database, in a cloud instance.

Your research should be based on recent developments in the field of database technology.

Your response should address not only the implementation considerations but also the security issues.

Introduction

Cloud database typically runs on cloud computing platform that are connected through network real-time communication. There are many application domains that use the relational DBMS in the recent database technology and it has proved that the solution is effective for large and small organization (Bhatti & Rad, 2017). For most of the information systems the recent database technology has become the key component. The report gives an overview about the implementation of cloud instance for web database. It contains information of the recent development of the databas

Cloud Instance Implementation

In a large company, the databases can be combined into a single host (CDBMS). The bandwidth and the storage capacity need to be paid for a per-use model (Banu & Kumaraswamy, 2018). The database can be move from one place to other. The recent technology of cloud database are Rackspace Cloud Databases, Amazon Cloud Databases, Google Cloud SQL, MongoLab, and Oracle Cloud (Kuznetsov, 2018).

Rackspace: The Rackspace cloud database built high and consistent storage network to deliver faster application on OpenStack (Dimoulas, Veglis & Kalliris, 2014). The database is provision with API or Control Panel that require deployment, patching and configuration. With the implementation of Rackspace cloud database the data loss is minimize.

Amazon Cloud Database: The Amazon Cloud Database include cost-efficient and resizable capacity to manage the time-consuming database administration tasks. The Amazon RDS enables point-in-time DB instance recovery.

Google Cloud SQL: This web service allows the use of relational databases, create and configure the Google’s cloud. The database service is fully-managed, maintains and administered (Abellan, Derron & Jaboyedoff, 2016). Google provides the services of cloud were business get operated by its own. 

MongoLab: The database has to create and scale on major cloud provider that are on-demand. Every database is redundantly archive replicate and backup. Experts continuously monitor and manage the databases.

Oracle Cloud: It has self-service management that has provision instantaneous environment. It has RESTful Web Services that access through SQL support.

Cloud Instance Merits and Demerits

Cloud database offer significant advantages which increase accessibility, fast automated recovery and automatic fail-over (Fernandes et al., 2014).

Merit

• Browser based cloud storage has no requirement of installing a software and the web app can be browse from anywhere.
• Businesses has cloud-native designed
• Assuring probability and open.
• Folder Sync Cloud Storage are very efficient, easy to use, and good for personal use to access offline files.
• Contracts are flexible and have deep discounts
• Cloud Drive Mapping map the storage of cloud as a network drive. The cloud files could get edit, support large enterprises, replace servers local file, central file storage and user access control.
• Expertise of DevOps
• The Cloud Storage API or Infrastructure provide cloud storage for other service provider of cloud.

Demerit

• In Browser-based Cloud Storage multiple files or folders cannot be uploaded or downloaded. It directly cannot edit files having few browser based apps.
• IaaS market having late entrant
• Sync for many computers is very inefficient. It leak or hack the business data from a computer or devices
• Services and features are fewer
• Cloud Drive Mapping requires an internet connection that are slower than the Folder Sync.
• Worldwide data centers are fewer
• The Cloud Storage API or Infrastructure complicate the pricing model were end-user cannot use it.

Recommendations on Security Issue

The cloud databases have security and privacy issues. It also has inability to access critical data. The database technology commercially has application available for most of the requirement were structured data is used for pre-defined data types. The structure data manages well-defined transaction. It is recommended to have sound practice of security to mitigate the risks that the customer and the provider face. A documented check-list has to provide and adopt cloud services that assess the risk, obtain and reduce assurance from the cloud provider.

Conclusion

The report conclude that the future of database technology is suitable for re-implementation of obsolete systems. The database server technology exiting for the new types of applications. The research has a result whose impact is seen on the commercially available technology of database server. Many of the organization have high-volume database applications. The advantage and disadvantages, both has been discussed in the report. The report has recommended the relevant option for sound practice of security and obtain a cloud services for the cloud provider.

References

Abellan, A., Derron, M. H., & Jaboyedoff, M. (2016). “Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends.

Banu, M. R. A., & Kumaraswamy, G. (2018). Database Management as a Service in Cloud. International Journal of Research, 5(19), 1240-1248.

Bhatti, H. J., & Rad, B. B. (2017). Databases in cloud computing: A literature review. International Journal of Information Technology and Computer Science, 9, 9-17.

Dimoulas, C., Veglis, A., & Kalliris, G. (2014). Application of Mobile Cloud-Based Technologies in News Reporting: Current Trends and Future Perspectives. In Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications (pp. 320-343). IGI Global.

Fernandes, D. A., Soares, L. F., Gomes, J. V., Freire, M. M., & Inácio, P. R. (2014). Security issues in cloud environments: a survey. International Journal of Information Security, 13(2), 113-170.

Kuznetsov, S. D. (2018). New Storage Devices and the Future of Database Management. Baltic Journal of Modern Computing, 6(1), 1-12.