CN7026 Cloud Computing Assignment Sample 2024
1.0 Introduction
The topic “cloud computing” stands for the distribution of computing or server-based services, including storage, networking, databases, servers, analytics, intelligence and software over the network, which is meant “the cloud” platform to grant economics scale, foster innovation, and flexible resources.
“Cloud computing” is a very advanced technology used on the web for managing and storing data or information based on remote servers or clouds. Then, the customer accesses data or information via the web. This kind of system or computer allows clients to do their own work on the basis of a remote platform. Google cloud is a very relevant example for the matter of “cloud computing”.
Google creates these kinds of services for the public. Various kinds of application or software development run and execute on Google. The tech giant includes App engine, “Google cloud storage”, “Google container engine”, “Google Compute Engine”. Facebook, Instagram, Gmail, Drive, Dropbox, and Facebook are also applied to store data or information.
In the matter of Financial and Banking Services, the customer’s save banking information or data to the “cloud computing” of the bank. The patient data is stored on the server of the healthcare system or hospital, the data of students is saved on the server of the education management system. Now, the world depends on cloud computing technology to store and save data or information.
2.0 Project plan
Cloud computing services, are essential for the working with accuracy, which are created and available or obtainable in the section of smart campus (Jurva et al. 2020). This technology stands for well developed and modern campus in this century. The main goal is to split the network of campuses into the types of virtual networks that actually depend on the customer side. It is also maintaining and controlling the requirements of service.
The researcher describes a Smart construction of Campus dependent on devices or IoT sensors and “big data management” and examines or analyses it in “cloud computing” (Niemelä et al. 2020). Four pillars create this technology framework, and it is mentioned, including environmental, service and data frames, communication, and working ability from information collection to proposing services on the cloud.
In addition, the researcher outlines a “complex system architecture” that includes six functional steps: cloud computing layer, network communication layer, sensing layer, big data layer, intelligent terminal layer and application layer and “information security service” and system management and control service are among the vertical support devices or systems.
Likewise, a “Smart Campus” is created based on cloud computing and IoT networks. The researcher shows the framework of the “educational cloud system” and the “IoT system” framework. In the future, a “Smart Campus model” of three-layer is created, including “smart learning and management layer”, management, service and “infrastructure layer”, “decision support layer”, and “portal architecture”.
In addition, an application structure is implemented, in which different kinds of campus entities such as library functions, logistics and teaching, are noted, as well as their unique needs (Li et al. 2021). Various kinds of “wireless technologies” such as Bluetooth, Zigbee and Wi-Fi are applied as an example of “Smart Campus services”.
The spotted service applies to propose specific and particular information or data for teachers, visitors, researchers and students. The complete technology forms signals, an application of smart phones and a “database management system” for updating and storing information or data and for controlling and maintaining the system. The architecture and infrastructure are very easy; whatever it is suitable and applicable for the actual purpose.
3.0 Cloud architecture
3.1 Cloud solution and implementation
The scale of students and schools are growing day by day. The traditional and old structured campus services face difficulty to provide the all demands of the college students. The huge expense demand and potential have attached more card construction of Campus, and the plan of “intelligent campus automatic settlement” and “PLC control systems” for the “Internet of Things” has arisen (Martins et al. 2021).
In the development procedure of “campus logistics management”, there are different kinds of issues, like- unreasonable management and “low operational efficiency”, including characteristics of time distribution and the habits of shopping consumption of pupil groups. The campus-dependent automated “settlement control system” for the “Internet of Things” is the main subject of this design or plan (Yang et al. 2021).
At first, it describes the importance of the “Internet of Things technology” and the “WinCC technology” working procedure. In conformity with the school or college’s actual and principal requirements or essentiality, the “automatic settlement system” of Campus should be dependent on the development and status quo.
The creation of the “automatic settlement system” of Campus should weigh the subsystem of customer management, the subsystem of library monitoring, the subsystem of “student attendance monitoring”, and the subsystem of “computer monitoring”. The creation of the “campus card system” should have described from the system’s design to its implementation, as well as the organisation of instruction, and many more.
3.2 Requirements gatherings
Various degrees of infrastructure in the cloud platform that is needed to be installed on the Campus are required to ensure the smart campus’s proper functioning. The following definitions can be used to categorise these requirements:
3.2.1 Function specifications:
The specifications of the smart campus’s functional characteristics are described as the essential and important characteristics that the platform of cloud computing of the specific and particular smart Campus must essential to be offered. The specific sustainability features of IoT systems in campus development are among the smart campus’s most significant functional specifications.
To maintain the proper data infrastructure all across the cloud computing platform, “remote monitoring systems” and appearing less interconnectivity of information and data in the cloud computing platform throughout all organisations and business and end-users of the technologies are needed (Jurva et al. 2019). The platform of cloud computing is also necessary to generate the backup of IaaS or “infrastructure as a service” for the purpose of “cloud environment”.
For the IaaS or “infrastructure as a service” model, the campus cloud platform is needed to create servers with huge processing abilities which can interrogate in the environment of cloud computing. Applying the setup like service model for the smart campus cloud platform is simpler to create a “virtual computing environment” and all of the required cloud platform specifications at a reasonably low cost.
3.2.2 Non- functioning specifications
The smart Campus non-functional specifications are prescribed as the essentiality in the device when it comes to availability, reliability, security and scalability of the operations in the smart campus platform of cloud computing. The “cloud data storage” systems applied in the cloud service is among the key features of the “smart campus non-functioning” specifications.
For the operation of the “IoT devices”, “several remote working environments”, collaborating projects, and Information Technology infrastructure, the platform is necessary for the purpose of data sink and data gathering in the device with the help of cloud storage. Also, the functionality of “big data analytics” in cloud services is necessary for the system to work. It processes information in the “cloud environment” about business environments and end-users.
3.2.3 Key features
Considering the smart Campus’s networking feature and the advanced development activities of the smart ecosystem on Campus, the principal characteristics of the “cloud platform” will be concerning the “data interchanging characteristics” in the ecosystem crosswise the business and organisations (Atayero et al. 2019).
The huge processing abilities of the device and the structure like the “service platform model” will generate the essential flexibility in controlling, operating and maintaining the cloud service on smart campuses.
3.3 Choice for cloud platform
With the help of this research, the researchers have described the functional requirements and operating capabilities of smart campuses dependent on the research, and the cloud service is expressed for the technical actions of smart campuses (Yasmin et al. 2020).
The platform of “Cloud computing” applied in the matter of smart campuses and the technology is able to provide the Campus with the essential requirements and various characteristics of connections, and it can create the actual infrastructure on the basis of requirements for the campus services and the city’s scaling in the coming days.
The following smart campus’s interconnectivity characteristics can cover the buildings of the Campus and some corporations and other public and private entities to work in unison and provide the community with the services it requires more efficiently and productively. In the environment of cloud service, interconnectivity generated businesses and organisations with high organisational versatility.
The cloud service also generates the actual advantages of cooperation in the matter of action of the cloud environment. The “Cloud platforms” generate the important non-functional features of availability, reliability, security and scalability of the operations in the smart campus architecture of cloud computing.
3.4 Choice of data standards and centres
There are different kinds of features which are necessary to be weighed when selecting appropriate and specific data centres and standards for the “cloud environment” in the cloud platform system architecture, which will be positioned in the matter of smart campus infrastructure.
Data privacy and data security issues are among the main factors that must be considered in cloud service (Safiullin et al. 2019). The smart campus’s operation scale needs different kinds of algorithms that can analyse the concept of “big data” in the cloud service. With the help of operating scalability, the data availability and data traffic availability in the setup is a major key factor for discretion while selecting the data standards and centre for the cloud platform.
3.5 Cloud system architecture developed to solve the problem
This chapter refers to an architecture which is developed for the purpose of a smart campus. When upgrading the architecture for the purpose of smart campus cloud service, The significance of platform interconnectivity and collaboration among multi-organisational baulk projects was emphasised. “Cloud computing” infrastructure is not available for the clients; the client can only take the server as a rent system from the “cloud computing server” generator.
This technology has several kinds of features on the basis of cloud services, and they are- Resource pooling, “On-demand self-service”, rapid elasticity, “Broad network access”. The section on “Cloud computing” is so famous, successful, essential and potential for the reason of easy usage and applies. The technology manages cost-effective procedures for industries, enterprises, business, and organisations.
The different kinds of characters are available in this technology, and they are- Dynamic Scalability, “On-demand cloud services”, “Optimal Server Utilisation”, the procedure of virtualisation The well-developed “cloud platform architecture” had many major facilities, including low computing requirements on the user’s part and user collaboration (Raman et al. 2019). The main disadvantage of the introduced cloud infrastructure is the environment’s increased reliance on inline resources.
3.6 Implementation using any cloud platform
In this image, it is clearly shown that the image refers to the design of the cloud system architecture of smart Campus. This diagram indicates the actual functional area of cloud computing on the project of smart Campus. The diagram is described in the analysis and reflection section briefly. This diagram is made with the help of draw.io by the researcher.
3.7 Costing
In this chapter, the researcher will discuss the estimated cost of cloud computing in the matter of smart campuses. “Cloud computing” is a very advanced technology used on the web for managing and storing data or information on the basis of remote servers or clouds. After that, the client accesses data or information via the web.
This kind of system or computer allows clients to do their own work on the basis of a remote platform. Amazon AWS is a very relevant application for the calculation of “cloud computing” estimates. Amazon creates these kinds of services for the public. The public can use it for free and can get an idea about the estimated cost, which will be required for the smart Campus. Here, the researcher has used this website to find the estimate, and the researcher will express the estimated cost below.
The figure is clearly shown the estimate of third party resources. This is the cost of cloud computing (Vikrant et al. 2020). By analysing the estimate, it is clear that the approx cost of the cloud platform is the reason for the Smart Campus. The given calculation will help to create a proper and specific smart campus with cloud computing.
The cost of internet connectivity is essential to create and implement this smart Campus. It can also help to put the cost to the administration. The administration can understand the cost of a smart campus on the basis of cloud computing approximately.
It is the second step of calculating the value of the estimated cost. The figure is clearly shown that if the requests are generated with the number of nine and the multiplier is around ten lakhs, the API value should be ninety lakhs approximately. The dedicated cache memory and tiered price total for REST API requests are zero. This estimation of cost stands for monthly.
This figure is shown the total estimation of cost, which is generated with the help of the previous two calculations. The total calculation will help to show the actual cost for cloud computing which will be applied for creating a smart campus. The value is shown as the actual API value.
The message request is twelve per second, and it will be three cores fifteen lakhs thirty-six thousand for a month. The average connection duration stands for eight seconds. The average connection rate is one core, fifty-seven lakhs sixty-eight thousands per month. The one message is equal to thirty-two kilobyte per message, which is incremented per seconds.
The total WebSocket messages are 31, 536, 000, 000, which is depending on the value of three cores fifteen lakhs thirty-six thousand for a month. This procedure will help to create a smart campus properly with the help of cloud computing. All data is generated with the help of the calculations, and the calculation has taken place on Amazon AWS. The application has helped to generate the estimate, which can give an idea of the smart Campus using cloud computing to the researcher.
4.0 Analysis and reflection
In this part of analysis and reflection, the researcher will discuss the diagram which is created by the researcher with the help of draw.io. These kinds of platforms are created to make a diagram of cloud computing. The public can see the diagram and can get an idea about the cloud computing which will be required for the smart Campus. Here, the researcher has used this website to draw the diagram, which will show the working process of cloud computing, and the researcher will express the diagram below.
This figure clearly shows the basic implementation and working process of cloud computing on the matter of smart Campus. There are two sides in this diagram, and they are- the one is student side, and the other one is the campus side, and the middle of the diagram is the server which is actually called the platform of cloud computing.
The functionality of “big data analytics” in cloud services is necessary for the system to work, as it processes information in the “cloud environment” about business environments and end-users (Jiang et al. 2018). The main part of the server is the “database management system”, where all data is saved and stored. Security and privacy are required in cloud computing for the database.
If anyone can reach the database by breaking the security, they are able to steal the data from the cloud. This is the main reason for security and privacy on the cloud. This kind of diagram uses to propose specific and particular information or data for teachers, visitors, researchers and students. The complete technology forms signals, an application of smartphones and a “database management system” for updating and storing information or data and for controlling and maintaining the system.
According to this diagram, if any student wants to login into the server of the smart Campus, they should use the password of their own ID, and the image verification of the student will be available for the purpose of privacy and security. When the ID and image are matched, the students can take entry into the smart Campus. The administration of the Campus can control and maintain the database.
A great estimated cost will apply for making the smart Campus, and the security service should be strong for security and privacy. The diagram stands for encryption and decryption of the server also. This process will make the security bridge strong, and the data will be safe on the cloud. Both teacher and student can use the server with the help of actual ID, password and image verification process.
5.0 Conclusion
In this chapter of results and discussion, the research has identified the critical features of the results that were combined from several researches. In this chapter, the research provided a comprehensive overview of the topic. In this vast world of technology, there can be seen the vast use of cloud computing in every stage of the people all over the world.
By the huge use of cloud computing, there can be seen some of the content that is unnecessary and irrelevant for the users, but these contents are still sent by some of the users, and the company and the companies mainly sent the promo of the company or some kind of advertisement for using the cloud computing.
The chapter can be concluded with the discussion of the results and their practical implications of cloud computing in vertical sector- smart Campus. This chapter has discussed the results that were collected from the literature standpoint and compared these results with the expected solution of the practical implication of the selected topic. Here, the researcher has discussed cloud computing in the matter of smart Campus.
The researcher has discussed the estimated cost and the implementation also. The research has shown that if the project is implemented, the security bridge should be very strong, or the data of the student and teacher or the organisations will face great trouble.
Reference list
Journals
Atayero, A.A., 2019 MACHINE LEARNING-BASED PATH LOSS MODELS FOR HETEROGENEOUS RADIO NETWORK PLANNING IN A SMART CAMPUS.
Jiang, J.R., 2018. An improved cyber-physical systems architecture for Industry 4.0 smart factories. Advances in Mechanical Engineering, 10(6), p.1687814018784192.
Jurva, R. and Matinmikko-Blue, M., 2019. Stakeholder analysis for digital campus development with 5G micro operators.
Jurva, R., Matinmikko-Blue, M., Niemelä, V. and Hänninen, T., 2020. Smart Campus 5G and IoT network preparations for operational mode: Specification to deploy data and network management.
Jurva, R., Matinmikko-Blue, M., Niemelä, V. and Nenonen, S., 2020. Architecture and Operational Model for Smart Campus Digital Infrastructure. Wireless Personal Communications, pp.1-18.
Li, G., Zheng, C., Han, D. and Li, M., 2021, March. Research on Smart Campus Architecture Based on the Six Domain model of The Internet of Things. In Journal of Physics: Conference Series (Vol. 1861, No. 1, p. 012038). IOP Publishing.
Martins, P., Lopes, S.I., Rosado da Cruz, A.M. and Curado, A., 2021. Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia. Sustainability, 13(6), p.3189.
Raman, A., 2019. Potentials of Fog Computing in Higher Education. International Journal of Emerging Technologies in Learning, 14(18).
Safiullin, A., Krasnyuk, L. and Kapelyuk, Z., 2019, March. Integration of Industry 4.0 technologies for “smart cities” development. In IOP Conference Series: Materials Science and Engineering (Vol. 497, No. 1, p. 012089). IOP Publishing.
Vikrant, S., SAYYAD, S., KUMAR, A., VENGATESAN, K. and SINGHAL, A., 2020. M-learning for promoting advancements in agriculture: An innovative educational model for ethiopian farmers. Advances in Mathematics: Scientific Journal, 9(7), pp.5057-5064.
Yang, C.T., 2021. Guest Editorial: Special Issue on “Journal of Internet Technology for TANET 2017”. Journal of Internet Technology, 22(2), pp.455-456.
Yasmin, R., Pouttu, A., Mikhaylov, K., Niemelä, V., Arif, M. and Liinamaa, O., 2020, May. NB-IoT Micro-Operator for Smart Campus: Performance and Lessons Learned in 5GTN. In 2020 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1-6). IEEE.
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