Integrated Automation Technique
Mainly to make a business office an office automated one; there are two possible techniques by which it can be done. The techniques for making the office automated are integrated automation system and traditional automation system. The explanation of both the techniques is as follows:
Integrated Automation Technique
This automation technique can help the Regional Gardens Ltd. to make all their systems fully automated. In integrated automation technique, the network of the office is changed totally and the hardware and the software are modernized and changed with all automation that are possible (Bruneo, 2014). The flow of all information in the office is needed to build a system of Regional Gardens Ltd.
Traditional Automation Technique
Another office automation that Regional garden can built is the Traditional Automation Technique. The structure that is already present in an office can be considered as a traditional technique of automation system (Ibrahim, Hamlyn-Harris & Grundy, 2016). Traditional method uses the existing design of the office. In traditional techniques, all the design are kept same as before adding the processes of automation system to achieve that particular objective of the business.
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Approaches |
Pros |
Cons |
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Traditional Automation Technique |
Many advantages are involved in the traditional technique of automation system. Retention of processes is allowed on the present design of office (Hashem et al., 2015). In traditional automation technique, the process of retention is very useful where changing the structure of the office is not possible. |
With the advantages, there are many disadvantages as well that can be involved in businesses. The processes that are in the business are un-integrated and the result of such un-integration helps to collect similar data by making the system redundancy (Rodriguez & Buyya, 2017). The chance of altering data with redundancy makes less possibility to alter the data. Another disadvantage that traditional approach has is the tasks that are automated are not at all integrated and makes the system redundant. This alters the data before reaching the final destination (Almorsy, Grundy & Müller, 2016). |
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Integrated Automation System |
The advantage of implementing the integrated system is that the process optimize the processing of system by deleting the redundancies and avoidable flow path of information (Rittinghouse & Ransome, 2016). This process can organize the structure of the business. |
Reconstructing process is comparatively higher than the traditional method. |
The best approach of making the office of Regional Gardens an automated one is by integrating both the techniques of office automation. The combination of integration of traditional automation technique and integrated technique helps to make the office of Regional Gardens an automated one (Botta et al., 2016). All the systems of the office are to be reconstructed so that they can be used to make the system faster. The extension of the office that is at present is to be changed and the constraints of the organization are also to be considered.
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Features |
Infrastructure-as-a-Service |
Platform-as-a-Service |
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Definition |
A cloud computing form, which provides computing resource in a virtualized form through the internet is the IaaS (Manvi & Shyam, 2014). |
PaaS is generally an platform of application or a platform that is a service based in cloud computing (Ali, Khan & Vasilakos, 2015). This provides a service that allows the users to develop, manage, and run the applications not considering the complexity of maintaining and building infrastructure that are related with launching and developing an application in an organization. |
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Advantages |
1) The customers have full access on their virtual machines and the contents in the VMs. 2) The integration procedure is also done by the model of IaaS. |
1) The integration process is being improved in SaaS model. 2) The model of PaaS cannot manage the virtual machine (Bernstein, 2014). |
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Disadvantages |
1) The backups are the responsibility of customer. If the users fails, it creates problem to the user itself (Rahimi et al., 2014). 2) The customers do not have any access to the server and VM location. |
1) First disadvantage is that the customers do not have any control on the VM and user cannot process the data. 2) The platform is not controlled by the user but sometimes it does depending on the Cloud Provider. 3) The task management system of PaaS is very much time consuming. |
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Cost |
The cost of implementation is a bit higher. |
This system is more cost effective compared to IaaS. |
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Service Provider |
Amazon Web Services (AWS), HP Enterprise Converged Infrastructure, IBM SmartCloud Enterprise, Google Compute Engine, Windows Azure, Rackspace Open Cloud |
Red Hat OpenShift, Windows Azure Cloud Services, AppFog, Google App Engine, Engine Yard, Heroku |
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Features |
IaaS |
SaaS |
PaaS |
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Definition |
Infrastructure-as-a-service is a model of cloud computing that has the organization to access the outsource equipment of computing and also access the resources including the network, storage, content delivery, load balancing and server. |
Software-as-a-Service is a model, which give the delivery of application on user demand, manages, hosts the cloud service provider, and pay the provider on basis of usage. |
The PaaS service is normally designed so that the software developers can streamline the process of development of the software. This is done by shifting some of the particular aspects included in system management. |
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Advantages |
1) The customers have full access on their virtual machines and the contents in the VMs. 2) The integration procedure is also done by the model of IaaS (Oliveira, Thomas & Espadanal, 2014). 3) Since, the control of VM is greater, the cloud is almost secured. |
1) The integration of the system is done in an improved way in this system. 2) The model of SaaS cannot manage the virtual machine. |
1) The SaaS is a model that is cost effective among all three models. 2)Very less planning is required to implement the process of SaaS because the applications that are used are usual and readymade. 3) Because the system is provisioned fully, so rapid development is possible in this model. 4) The SaaS software is stable as the software has support from IT team and has large infrastructure. |
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Disadvantages |
1) The IaaS model in cloud computing is very much expensive and the user leases tangible resource, all the cycles are charged by the service provider even if a small amount of memory is used. 2) The backups are the responsibility of customer. If the users fails, it creates problem to the user itself. 3) The customers do not have any access to the server and VM location (Sadiku, Musa & Momoh, 2014). |
1) There is no control on system processing on data. 2) The customer can use many software and can be shared by many users at the same time. Example of SaaS is Dropbox. 3) There is no control over parameter of the software (Krishnan, Bhagwat & Utpat, 2015). 4) The user cannot control the upgradation and testing method. 5) There are only some limited solutions provided by SaaS. 6) The model does not allow integration or does not support any other software. 7) If cryptography is not used by the customers, the provider can access the data of customers. |
1) First disadvantage is that the customers do not have any control on the VM and user cannot process the data. 2) The platform is not controlled by the user but sometimes it does depending on the Cloud Provider. 3) The task management system of PaaS is very much time consuming and less cost effective than SaaS. |
The best model that can be recommended for the Regional Gardens is the Infrastructure-as-a-Service model. The IaaS model provides a wide variety of services so that they can accompany the components in the infrastructure. The components includes a detail of billing, log access, clustering, load balancing, monitoring and also provides resilience storage that includes recovery, replication, and backup. The services that are provided by IaaS includes increase driven policy, and enables the users so that they can use higher level of orchestration and automation for tasks involved in the infrastructure (Rao & Selvamani, 2015). Infrastructure-as-a-service is a model of cloud computing that has the organization to access the outsource equipment of computing and also access the resources including the network, storage, content delivery, load balancing and server. The IaaS cloud model provides resource in a virtualized form with the help of internet.
Traditional Automation Technique
1) The IaaS model in cloud computing is very much expensive and the user leases tangible resource, all the cycles are charged by the service provider even if a small amount of memory is used (Buyya et al., 2015).
2) The backups are the responsibility of customer. If the users fails, it creates problem to the user itself.
3) The customers do not have any access to the server and VM location.
The Regional Garden can implement a security system that can have the following strategies:
- The users of systems should update the software periodically so that any threat cannot occur.
- There must be patching procedures in the infrastructure.
- Audit and monitors the requirements of hardware and software.
- There should be analysis of regular testing and regular vulnerability.
References
Ali, M., Khan, S. U., & Vasilakos, A. V. (2015). Security in cloud computing: Opportunities and challenges. Information sciences, 305, 357-383.
Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.
Bernstein, D. (2014). Containers and cloud: From lxc to docker to kubernetes. IEEE Cloud Computing, 1(3), 81-84.
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: a survey. Future Generation Computer Systems, 56, 684-700.
Bruneo, D. (2014). A stochastic model to investigate data center performance and QoS in IaaS cloud computing systems. IEEE Transactions on Parallel and Distributed Systems, 25(3), 560-569.
Buyya, R., Ramamohanarao, K., Leckie, C., Calheiros, R. N., Dastjerdi, A. V., & Versteeg, S. (2015, December). Big data analytics-enhanced cloud computing: Challenges, architectural elements, and future directions. In Parallel and Distributed Systems (ICPADS), 2015 IEEE 21st International Conference on (pp. 75-84). IEEE.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
Ibrahim, A. S., Hamlyn-Harris, J., & Grundy, J. (2016). Emerging security challenges of cloud virtual infrastructure. arXiv preprint arXiv:1612.09059.
Krishnan, Y. N., Bhagwat, C. N., & Utpat, A. P. (2015, February). Fog computing—Network based cloud computing. In Electronics and Communication Systems (ICECS), 2015 2nd International Conference on (pp. 250-251). IEEE.
Manvi, S. S., & Shyam, G. K. (2014). Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey. Journal of Network and Computer Applications, 41, 424-440.
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497-510.
Rahimi, M. R., Ren, J., Liu, C. H., Vasilakos, A. V., & Venkatasubramanian, N. (2014). Mobile cloud computing: A survey, state of art and future directions. Mobile Networks and Applications, 19(2), 133-143.
Rao, R. V., & Selvamani, K. (2015). Data security challenges and its solutions in cloud computing. Procedia Computer Science, 48, 204-209.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.
Rodriguez, M. A., & Buyya, R. (2017). A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments. Concurrency and Computation: Practice and Experience, 29(8).
Sadiku, M. N., Musa, S. M., & Momoh, O. D. (2014). Cloud computing: opportunities and challenges. IEEE potentials, 33(1), 34-36.
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