SoftArc Engineering: Office Automation And Web Infrastructure In The Cloud

Approaches for Office Automation

The approaches that can be utilized by SoftArc Engineering to access office automation effectively include Big Data as well as cloud computing.

Benefits as well as issues for using cloud computing

The advantages of  using cloud computing include:

Easy Implementation: The implementation is very much effective as well as easy  as the cloud computing helps in providing the facility of retaining business procedures effectively (Dinh et al., 2013).

Accessibility: The cloud computing provides facility of accessing data as well as information at any time and at anywhere without facing problem.

Efficient Recovery:  The SoftArc Engineering Company can retrieve proper data as well as information by utilizing cloud-computing approach (Li et al., 2013). Thus, cloud computing helps in recovering data effectively.

There are numbers of challenges that SoftArc Engineering will face due to the utilization of cloud computing and the challenges are as follows:

Privacy: One of the significant challenges that SoftArc engineering organization will face is due to inaccurate privacy as well as security. Improper security leads to loss of important data as well as information.

Bandwidth control:  The organization must plan before storing large amount if servers as well as storage in very much small data centers (Sanaei et al., 2014).

Control: The in house staffs of the organization are not capable enough to handle various services of cloud effectively.

Benefits as well as issues of using Big Data

Benefits: SoftArc Engineering will achieve number of advantages by using the approach of big Data. The approach helps in providing the facility of accessing office automation to the staff of the organization (Provost  & Fawcett, 2013). It can also be utilized for detecting different types of fraud as well as errors very quickly. It also assists in accessing various types of data and information from anywhere at any time.

Issues: SoftArc Engineering faces number of problems due to the utilization of Big Data. The problems include data silos, inaccuracy of data as well as finding signal in the noise (Marz & Warren, 2015).  The organization faces issues in decision making due to data inaccuracy. The approach is not capable of meeting the different operations of the company.

The organization must utilize the approach of cloud computing as it very much beneficial for providing appropriate facility of accessing home automation to the civil engineers of the organization. It also helps in giving proper back up as well as recovery of data to the users, which further assists in maintaining the overall manageability of the organization.

Benefits and Issues of Cloud Computing

The various differences between both the locally hosted infrastructures as well as infrastructure provided by using an IaaS provider are as follows:

Security: It is identified that locally hosted infrastructure is very much secure as it helps in providing proper data as well as information security (Wei et al., 2014).

Accessibility: In context to accessibility, infrastructure that is offered by using the IaaS provider is found to be superior.

Cost: It is analyzed that infrastructure that is offered by utilizing an IaaS provider is very much costly when compared with locally hosted infrastructure (Tao et al., 2014).

The critical factors as well as issues, which generally arise due to migration from web infrastructure to an IaaS provider, include:

Privacy: It is analyzed that SoftArc Engineering will experience problems due to improper privacy as well as authentication of both information as well as data (Hashizume et al., 2013).

Technical problems: The problems, which are experienced by the organization due to the utilization of IaaS infrastructure, include downtime as well as outrage (Dinh et al., 2013). The system is generally connected with the help of internet and therefore any problem in the connectivity creates problem.

Limited control as well as flexibility: The organization must have proper control over the execution of both hardware as well as software as the application generally run due to the help of a third party.

Increased Vulnerability: The migration from the infrastructure of Web to the infrastructure of IaaS helps in increasing the risks of exploitation that generally occurs due to malicious users or hackers (Sanaei et al., 2014). It can lead loss of important data as well as information of the organization.

IaaS	PaaS	SaaS
This category of cloud services helps in giving virtualized resources of computing by utilizing internet.	One of the divisions of cloud computing services is known as PaaS that provides a platform so that they can run, manage as well as develop different applications effectively without facing much problem (Hashizume et al., 2013).	Software as a service is defined as a type of licensing software in which licensed software is incorporated for hosting it centrally on the basis of subscription.
The Infrastructure as a Service is considered cost effective as the organization that utilizes this model does not have spent additional amount on the hardware maintenance or on various network related equipments (Sanaei et al., 2014).	PaaS helps in allowing various teams to try different types of configuration for achieving proper performance in the local environment (Monroe et al., 2015).	SaaS generally resides in the cloud environment, which are scalable and are mainly incorporated with various other offering of SaaS (Tao et al., 2014).

It is analyzed that SaaS is the most suitable model for the organization “SoftArc Engineering”. It is due to the fact, SaaS helps in providing different types of applications over the internet for providing various service. In spite of maintaining the software, an individual can easily get the access by using internet (Dinh et al., 2013). It assists in freeing the users or customers from complex hardware as well as software manageability. In addition to this, the organization “SoftArc Engineering” wants to provide proper capability to the staff of the organization so that they can handle office automation effectively from anywhere and at any time (Chen, Mao & Liu, 2014).  It is analyzed that Software as a Service is considered as one of the suitable model as it assists in giving all the applications by utilizing the Software.

Benefits and Issues of Big Data

The problems, which are encountered by the organization, are as follows:

Ongoing business concerns: Outsourcing various tasks like IT assists in losing proper control over some of the activities of service providers and as a result, it creates number of problem for the organization.

Data Security: SoftArc Engineering will experience problems, which are associated with the authentication as well as data security (Wei et al., 2014). By using the SaaS model, the organization will experience number of problems due to data breaches.

The SoftArc Engineering will face number of issues, which can be resolved appropriately by following some of the steps that include:

Authentication: Proper authentication must be provided for reducing data loss as well as for securing important information as well as data (Hashizume et al., 2013).This is quite important for identifying the person who is associated with data access.

End to end logging as well as reporting: The data as well as information that are stored by utilizing the model of SaaS should be monitored properly.

References

Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209.

Dinh, H.T., Lee, C., Niyato, D. and Wang, P., 2013. A survey of mobile cloud computing: architecture, applications, and approaches. Wireless communications and mobile computing, 13(18), pp.1587-1611.

Hashizume, K., Rosado, D. G., Fernández-Medina, E., & Fernandez, E. B. (2013). An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(1), 5.

Li, M., Yu, S., Zheng, Y., Ren, K., & Lou, W. (2013). 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.

Marz, N., & Warren, J. (2015). Big Data: Principles and best practices of scalable realtime data systems. Manning Publications Co..

Monroe, B. L., Pan, J., Roberts, M. E., Sen, M., & Sinclair, B. (2015). No! Formal theory, causal inference, and big data are not contradictory trends in political science. PS: Political Science & Politics, 48(01), 71-74.

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 51-59.

Sanaei, Z., Abolfazli, S., Gani, A., & Buyya, R. (2014). Heterogeneity in mobile cloud computing: taxonomy and open challenges. IEEE Communications Surveys & Tutorials, 16(1), 369-392.

Tao, F., Cheng, Y., Da Xu, L., Zhang, L., & Li, B. H. (2014). CCIoT-CMfg: cloud computing and internet of things-based cloud manufacturing service system. IEEE Transactions on Industrial Informatics, 10(2), 1435-1442.

Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and privacy for storage and computation in cloud computing. Information Sciences, 258, 371-386.