Cloud Computing

Cloud computing involves the provision of shared internet-based computer services to other computers and devices. It denotes servicing of multiple computing services such as storage and servers to computers under minimal management. Cloud computing technology has been significant in the access and storage of data in companies through a clandestinely held cloud, or third party. The service has eased companies’ effort in processing and storage of data because it is a more reliable technology and also helps organizations and firms avoid extra costs of up-front infrastructures (Yang et al., 2017). Therefore, cloud computing has seen impressive results in the contemporary world of over-reliance on technology and minimization of productivity, about cost and time.
Cloud computing enjoys advantages over the traditional provision of computing services in the sense that it requires no IT administrators. In cloud computing, efficiency in self-service provisioning is witnessed since users can utilize computing services for whichever workload that is on demand or necessity (Yang et al., 2017). Therefore, there is minimal management by administrators in the process of accessing computing resources.
Cloud computing offers flexibility and elasticity in organizations. Since the package involves access to a pool of services from outside organization server, companies are the sole users who decide on how to utilize services depending on their demand (Thomas et al., 2016). For instance, a company increases its scale when computing needs scale up. Similarly, an organization may choose to lower its utilization of resources when the need for computing within the form goes down. Therefore, cloud computing makes sure that organization utilizes the resources when they are of need rather than having an internal infrastructure that may not remain active during periods of depression.
Utilization of cloud computing resources is payable depending on the exact scale of usage by end users (Madni et al., 2017). Since the resources are measured at a granular level, the user is guaranteed of reasonable pay for what is used. Additionally, usage of cloud computing resources helps in workload resilience because providers devise redundant services that ensure alternative storage and access of user’s workloads. Subsequently, this ensures continuous running of vital workloads from end users computers. Lastly, usage of cloud computing resources offers migration flexibility in which firms can move their workloads to and from the cloud server as desired (Thomas et al., 2016). Therefore, cloud computing is a key technological advancement to embrace because of its simplicity and feasibility especially in organizations.
To retain and provide a friendly interaction with customers, cloud computing vendors ought to avoid unnecessary updates. While it is true that cloud services are here to stay with their various benefits, it is also worth noting that the hurdle behind automatic updates by vendors has been traumatic for people who rely on the resources (Yang et al., 2017). For instance, one cannot imagine waking up to a new update of cloud that is devoid of key friendly features, and the inclusion of other features that can take centuries to fathom. However, not all updates are unfriendly and difficult to fathom because the majority of updates are done seamlessly by vendors then rolled out to end users (Madni et al., 2017). It would, therefore, be prudent if computing vendors solicit and consider customer’s feedback so that all updates serve the interest of end users.
In conclusion, cloud computing has brought more benefits in organizations as compared to a traditional provision of computing services. Today, cloud computing has transformed organizations through private and public servers where they can access, process and store data with ease. However, the challenge of cloud automatic update by vendors could be detrimental to users who could take a longer time to understand new operations. Therefore, it would be wise if cloud providers would ensure incorporation of user feedback in designing updates.

 

References

Madni, S., Latiff, M., Abdulhamid, S., & Usman, M. (2017). Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment. PLoS ONE. Vol. 12 Issue 5, p1-26. 26p.

Thomas, C., Chuang, T., & Nakatani, K. (2016). The Perceived Business Benefit of Cloud Computing: An Exploratory Study. Journal of International Technology & Information Management. Vol. 25 Issue 4, p101-121. 21p.

Yang, Y., Qing, R., & Dara, S. (2017). Cloud computing and its impact on service level: a multi-agent simulation model. International Journal of Production Research. Vol. 55 Issue 15, p4341-4353. 13p. 2 Diagrams, 2 Charts, 1 Graph

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