The cloud based service is considered as the on-demand services, storage services and networking services which are provided through the internet (He, Yan & Da Xu, 2014). This service works on the infrastructure of the cloud computing. There are several benefits of the cloud based services which are the increased scalability, functionality and capacity. With this services, this also provides reduced maintenance costs. Organizations can take help from the cloud based solutions to focus on the core business of them.
In this case, various aspect of the cloud based service will be discussed and will be investigated.
To discuss the various aspects of the cloud based services first the non-functional necessities of the cloud based services will be evaluated. This includes the critical system qualities, user interface requirements, system interface and system constraints. In this case, all the non-functional aspects of the ‘FURPS+’ acronym will be discussed. Then the review of the cloud based services will be given which includes the weakness and strengths of the cloud based solutions. Further, the approach of the SDLC will be evaluated which will include the pros and cons of the Predictive SDLC and the cons and pros of the Adaptive SDLC. From the discussion, either predictive SDLC or the adaptive SDLC will be recommended for the project.
The non-functional requirements define specific criteria which are used for judgement of an operation which runs in a system. In this case, the non-functional requirements of the cloud-based services will be evaluated using the ‘FURPS+’ acronym. To cover this acronym functionality, usability, reliability, performance and security of the cloud-based services will be discussed.
The letter F of the acronym ‘FURPS+’ stands for the function which defines the main features of the cloud based services. The main features of the cloud computing services will be discussed. The cloud based services are very much flexible that it can decrease or increase the usage according to the demand of the user (Sunyaev & Schneider, 2013). Another big functionality of the cloud based amenities is that the maintenance of this system is very much easy and with that, all the maintenance of the cloud based services is done by the service provider of the cloud services. Also, the cloud based backup service helps to the backup large amount of data which is not possible to store in the local storage.
The usability framework of the cloud based framework includes the services which are the SaaS, PasS and the IaaS. The SaaS service model provides the cloud based applications services to the users of the cloud. In this case, the user only takes benefit of the service provided by the application but the user is not able to control or manage the applications (Zheng et al., 2014). In the case of the PaaS, it provides the service of deploying an application to the cloud architecture. In the PaaS architecture, the user is able to manage and control the deployed application in the cloud but unable to modify the architecture of the cloud. In the cloud based facilities, the IaaS provides the ability to control the storage, network and processing of the cloud framework. That means, in this case, the operating system can be controlled in the IaaS architecture but the cloud infrastructure cannot be controlled by the user.
Reliability of the cloud based service is a major thing. As this criterion of reliability is used to judge the system operation. The reliability of the cloud based service depends on the service given by a particular cloud service provider (Shin, 2013). This is a big concern for the businesses as they cannot afford their IT services to be down. It will impact the business in the huge margin. The more reliability can be gained by minimizing the probability of the service failure of cloud based services. For such cases, cloud service provider needed to be with minimal failures in the cloud based services.
The performance of the cloud based services is used as a criterion. This criterion is used for the judge the operation of the system. Increasing the performance of the cloud based service will reflect positive points in the case of judging the operation of the system. The performance of the cloud can be improved in various ways. New architecture can be implemented to deal with the latency (Abdelwahab et al., 2014). Also, the performance can be increased by optimizing the encryption part of the cloud service. Performance of a cloud based service depends on the uploading and the downloading time. Thus bandwidth adjustment is needed to get the high upload and download speed which will increase the performance.
The security of the cloud computing is also used for determining or judging the operation of the system. The security of the cloud computing refers to the wide set of technologies, policies and control to protect the applications and data. The security architecture of the cloud is dependent on the implementation of the defence. The issues of the security can be managed by the various type of security controls (Rong, Nguyen & Jaatun, 2013). These controls are the deterrents controls, preventive controls, detective controls and the corrective controls.
In this case business environment is considered for deploying the cloud based solution. For a business environment the main pros of the cloud based solution are the:
The main cons of the cloud based solution are the:
It is easy to understand the functioning of the Predictive SSDLC terminology. This process is concerned with the starting and closing point of the project. The functioning strategy ensures the fact that the projection of the developers will be proclaiming the functioning of the developers (el Ata & Perks, 2014).
The generation of the budget plan is much easier in the functioning of the developers. The cost analysis and the risk management can be processed can be performed with the help of the Predictive SDLC.
The entire process is diversified in many parts. The main instance that is taken into consideration is that the processing of the business management is that the functioning of the data progress is the terminology of the data administration that is accomplished with the assistance of the developing phase of the product lifecycle.
The main cons of using the predictive SDLC re are as follows: –
In case of using the SDLC system, the processing of the data generations is affected in a negative way and this leads to the aspect that the data dispensation of the business administration is completed during the closing stage of the project. This makes the entire process ineffective. This acts as one of the major reason for proclaiming the task.
The functioning of the SDLC system insists the fact that the data prosecution of this technology cannot be performed with the help of the Predictive SDLC. This technology can be performed only after the prosecution of the data. The main drawback of the predictive SDLC is that the utility scope of this technology is very limited.
In case of adaptive SDLC the main advantage that is present is that the data management is that the data that is present in the course of the business prosecution will be terminated with the help of the regular intervention of the project stages will be portrayed with the help of the adaptive SDLC methodology (Öztürk, 2016).
In the case of adaptive methodology, the usability of the process in the course of the project completion, the data management will be performed with higher efficiency.
The transparency of the data supervision points to the fact that the business prosecution that is performed is done with the highest efficiency. The handling of the data can be done with the support of the transparent functioning can be helped for better functioning of the business.
Delivering of the project is made with higher efficiency and this is the main reason that the projection of the deployment of the task will be performed with higher efficiency.
Client involvement is also one of the most important aspects that are performed by the adaptive SDLC management and this is the reason that the operation of the project supervision will be done with the help of the basic proficiency. The involvement of the clients helps in understanding the fact that the project completion will be performed with the highest dedication.
The disadvantage of the using the adaptive SDLC is that the competitive terminology is not present in the processing of the data procession is that the methodology will be maintained with the highest efficiency. The main functioning issue that is present is that the commencing of the project.
Adaptive SDLC is considered to be the chosen terminology for the handling of the business management. This is the key personification that ensures the fact that functioning of the data process will be commenced with the assistance of the adaptive SDLC data management. The main instance that is taken into consideration that the transcription is that the data management of the business manipulation is performed with the highest accuracy. The main process that is present in the projection of the Predictive SDLC system is that the relationship with the clients are not met and this affects the projection of the task. In case the client is unaware of the task that is to be completed, the main projection issue that arises is that the client cannot provide instructions to the task projection manager.
References:
Abdelwahab, S., Hamdaoui, B., Guizani, M., & Rayes, A. (2014). Enabling smart cloud services through remote sensing: An internet of everything enabler. IEEE Internet of Things Journal, 1(3), 276-288.
el Ata, N. A., & Perks, M. J. (2014). Using Predictive Analytics to Mature IT Production. In Solving the Dynamic Complexity Dilemma (pp. 221-235). Springer, Berlin, Heidelberg.
Ghahramani, M. H., Zhou, M., & Hon, C. T. (2017). Toward cloud computing QoS architecture: Analysis of cloud systems and cloud services. IEEE/CAA Journal of Automatica Sinica, 4(1), 6-18.
He, W., Yan, G., & Da Xu, L. (2014). Developing vehicular data cloud services in the IoT environment. IEEE Transactions on Industrial Informatics, 10(2), 1587-1595.
Öztürk, V. (2016). Flexible and Adaptive Life Cycle Framework for Software Development. JSW, 11(9), 943-951.
Rong, C., Nguyen, S. T., & Jaatun, M. G. (2013). Beyond lightning: A survey on security challenges in cloud computing. Computers & Electrical Engineering, 39(1), 47-54.
Shin, D. H. (2013). User centric cloud service model in public sectors: Policy implications of cloud services. Government Information Quarterly, 30(2), 194-203.
Sultan, N. (2014). Making use of cloud computing for healthcare provision: Opportunities and challenges. International Journal of Information Management, 34(2), 177-184.
Sunyaev, A., & Schneider, S. (2013). Cloud services certification. Communications of the ACM, 56(2), 33-36.
Zheng, X., Martin, P., Brohman, K., & Da Xu, L. (2014). CLOUDQUAL: a quality model for cloud services. IEEE transactions on industrial informatics, 10(2), 1527-1536.
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