Green Cloud Computing for Environment-Friendly Practices
Discuss about the IT Project Management for Information and Communication Technologies.
The green computing project that is proposed for the company is green cloud based services, and it’s application. The cloud computing is very crucial in information and communication technologies, which protect the environment. There are several varieties of cloud computing services. The implementation of cloud computing saves the energy, and it is power efficient. This green cloud technology has the potential to remove footprints of the carbon, and it also reduces e-waste (Indira & Thangavel 2018). This feature converts the cloud computing technology in to green cloud computing technology. The development of green cloud computing is related to green centres of data, as for cloud computing the data centres are an integral part. The data centres of cloud computing can be defined as a computing pool, and resource of communication is organised to transform the power onto computing or in the transfer of data for user satisfaction. The implementation of cloud computing is so less for that this provides excellent business value to organisations. As not much equipment is not necessary for implementing the technology in business, so cost automatically reduced. This technology is not affecting the environment directly or indirectly (Farahnakian et al., 2015).
The primary aim of green computing project is to maintain the viability of the economy and to improve the devices of green computing for environmental development. The green computing projects mainly are energy efficient and it also reduces the amount of electronic waste to the environment is not harmed in this technology. Green computing project cuts down the power that is going to be used for the project as much as possible. Cloud computing is very efficient and does not use any resource and the equipments. Green computing projects minimise materials that are harmful to the environment (Farahnakian et al., 2015). The green computing project also uses the materials for implementation of the technology that is biodegradable as much as possible. As this technology is efficient so that the lifetime of technology increases. The goal is to provide a computing project that is environmentally friendly and does not provide any harm to the environment.
The scope of green cloud computing is very high. As the cloud computing is an essential feature of the recent information and communication technology. To enable the data centres of green cloud computing, user has to analyse and understands data centres that are existing and their cooling designs and power consumptions. The maximum efficiency is achieved by the requirements by cooling of servers (Gai et al., 2016). The tools for modelling is also required for the measurement of energy and services component of green cloud computing. For the holistic solutions of designs are made that it considers most of the servers, and each switch, and number of the total users who linked with data centres which can minimise the overall usage of power by the data centres. The main aim of green computing project is to improve the equipment efficiency that is used in a green cloud computing project.
Scope of Green Cloud Computing
The feasibility study of green cloud computing is mainly done for the identification of the problem that is related to feasibility. The feasibility is study is made on different terms like the financial feasibility, technical feasibility, and operational feasibility. The technical feasibility is done to see all equipment that is used for implementation of cloud computing is feasible for the project or not. If the material is feasible then only it can be implemented in cloud computing. The operational feasibility checks operations that will be made after the implementation of technology that is the cloud computing technology (Shu et al., 2018). The financial feasibility checks the amount that is going to be used in the entire project from the beginning to completion of a project. The financial feasibility is must for any project to gain success in long-term. The feasibility report is made after a final investigation of the all feasibility aspects.
The project that is proposed for the company is green cloud computing project. The risks are there that is related to cloud computing. As the whole technology is depended on the internet, so all data are stored on a web (Wadhwa & Verma 2014). As data are stored on the web, so the chances of a data breach are high. The risks that are associated with green cloud computing implementation are access that is unauthorised, vendor security risks, legal risks and the compliance risk, risks related to the controls, risk of availability, data breach risk and many more. To mitigate the risks associated with a project of green cloud computing of project manager needs to apply several steps (Patel, Mehrotra & Soner 2015). Whenever the hardware and software of cloud computing are moved then history must be cleared so that the data cannot be breached. The data that are stored in cloud computing must be appropriately encrypted to secure data properly. The software that is used for implementation of green cloud computing in a project must be updated regularly.
The business opportunity of green cloud computing project is very high. After green computing project, it enhances the efficiency of business or organisation where cloud computing project is implemented. It improves the efficiency of employees in an organisation. The cloud computing project provides continuous communication and collaboration among employees of business or organisation (Lee, Jeong & Jang 2014). The cloud computing also provides interoperability. After the system moved to the cloud, then the system becomes more compatible with many other systems. The cloud computing is much flexible, and this enables employees to become much more productive than before. The employees and user can access data from anywhere, and that motivates and boost the productivity of employees (Mehta, Singhal & Doshi 2016). The implementation of cloud computing in business is straightforward as their operation is less and the requirements of the storage is less for implementation of cloud computing. The cloud computing provides high security for data on the web. All data are backed up for any kind of disaster like data breach. The cost of infrastructure is reduced as the implementation of a cloud computing project eliminates high-cost equipment that is needed for any other technology implementation.
Feasibility Analysis of Green Cloud Computing Project
The project is about green computing and technology is cloud computing project. Many people are associated with project and top of a project is project manager whose role is to manage activities related to the implementation of green cloud computing. The assumptions that are made from a project is that as the project is green computing project so that the project has to be power efficient and electronic waste amount must be low. The infrastructure of a cloud consists of hardware and software (Qiu et al., 2015). The infrastructure also consists of abstract layers which virtualise resource and presents them logically for program interface application. The cloud infrastructure refers to components that are back-end. The hardware of green cloud computing found in most of the enterprise data centres.
Task Name |
Duration |
Start |
Finish |
Green IT |
22 days |
Tue 19-06-18 |
Wed 18-07-18 |
Project Initiation |
6 days |
Tue 19-06-18 |
Tue 26-06-18 |
Project planning |
3 days |
Tue 19-06-18 |
Thu 21-06-18 |
project management |
3 days |
Fri 22-06-18 |
Tue 26-06-18 |
Analyzing |
4 days |
Wed 27-06-18 |
Mon 02-07-18 |
problem identification |
2 days |
Wed 27-06-18 |
Thu 28-06-18 |
analysing the plan |
2 days |
Fri 29-06-18 |
Mon 02-07-18 |
Data collection |
6 days |
Tue 03-07-18 |
Tue 10-07-18 |
taking survey |
2 days |
Tue 03-07-18 |
Wed 04-07-18 |
analysing survey result |
4 days |
Thu 05-07-18 |
Tue 10-07-18 |
Processing |
6 days |
Wed 11-07-18 |
Wed 18-07-18 |
implementing the plan |
2 days |
Wed 11-07-18 |
Thu 12-07-18 |
completion of the project |
2 days |
Fri 13-07-18 |
Mon 16-07-18 |
Project closure |
2 days |
Tue 17-07-18 |
Wed 18-07-18 |
Work Breakdown Structure:
References:
Farahnakian, F., Ashraf, A., Pahikkala, T., Liljeberg, P., Plosila, J., Porres, I., & Tenhunen, H. (2015). Using ant colony system to consolidate VMs for green cloud computing. IEEE Transactions on Services Computing, 8(2), 187-198.
Farahnakian, F., Pahikkala, T., Liljeberg, P., Plosila, J., & Tenhunen, H. (2015, June). Utilization prediction aware VM consolidation approach for green cloud computing. In Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on (pp. 381-388). IEEE.
Gai, K., Qiu, M., Zhao, H., Tao, L., & Zong, Z. (2016). Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, 46-54.
Indira, K., & Thangavel, M. (2018). Green Cloud Computing. In Cloud Computing Technologies for Green Enterprises (pp. 114-136). IGI Global.
Lee, H. M., Jeong, Y. S., & Jang, H. J. (2014). Performance analysis based resource allocation for green cloud computing. The Journal of Supercomputing, 69(3), 1013-1026.
Mehta, H., Singhal, S., & Doshi, J. (2016). A Comparative Analysis of Green Cloud Computing Mechanisms.
Patel, Y. S., Mehrotra, N., & Soner, S. (2015, February). Green cloud computing: A review on Green IT areas for cloud computing environment. In Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on (pp. 327-332). IEEE.
Qiu, M., Ming, Z., Li, J., Gai, K., & Zong, Z. (2015). Phase-change memory optimisation for green cloud with genetic algorithm. IEEE Transactions on Computers, 64(12), 3528-3540.
Shu, W., Wang, W., & Wang, Y. (2014). A novel energy-efficient resource allocation algorithm based on immune clonal optimisation for green cloud computing. EURASIP Journal on Wireless Communications and Networking, 2014(1), 64.
Wadhwa, B., & Verma, A. (2014, March). Energy saving approaches for Green Cloud Computing: A review. In Engineering and Computational Sciences (RAECS), 2014 Recent Advances in (pp. 1-6). IEEE.