Research Funding And Reviewing System Best Assignment Sample
Introduction
Research funding is a term generally covering any funding for scientific research, in the areas of technology, natural science and social science. According to the Organisation for Economic Co-operation and Development, more than 60% of research and development in scientific and technical fields is carried out by industry, and 20% and 10% respectively by some universities and governments worldwide (Rittinghouse, and Ransome, 2016).
There are various research funding agencies available which provide funds for research in various fields, funding agencies are government or non-government bodies providing financial grants for technological and scientific research.
The research funding process is a highly competitive process, in which potential research projects are actively evaluated and only the very promising ones receive generous amounts of research funding to bring in innovation to technology and science aptly.
Project Plan
In research funding, a project plan serves as a roadmap that vividly shows the project phases, activities and their processing time, project milestones and other necessary details. Project plan can be a simple document with few sentences that includes phases of a project, activities of task in each phase and the milestones (Stergiou, Psannis, Kim, B.G. and Gupta, 2018).
The planning and research phase of the project is the time to round out the details of how an individual will deliver on the project to meet the necessary demands. The next is the design and implementation phase wherein prioritization of tasks begins with each being listed in order of importance to the project (Hurwitz and Kirsch, 2020). The last phase is follow-up, in general it is about tying up loose ends to bring things to a positive conclusion for the project.
Cloud Architecture
Cloud Architecture refers to various components in terms of databases, software capabilities, engineered to aid the power of cloud resources to solve business problems. The entire cloud architecture is aimed at providing users with high bandwidth, allowing users to have uninterrupted access to data and applications (Botta, et al. 2016).
The various cloud based services have their own distinct unique cloud architectures, like Software-as-a-Service (SaaS) involves software hosted and maintained on the internet. While, Platform-as-a-Service (DaaS) Involves web based development tools shared across communities.
Requirements for Cloud Computing
The inclusion of certain essential requirements to business analysts for use acts as a starting point for a project significantly enhances the quality of the requirement for cloud computing documents. You can hardly open any technology or business journal these days without hearing something about cloud computing, especially how cloud computing’s impact will continue to be felt for many years in future years for enterprises.
Cloud computing is not a mere revolution but an evolution of existing enterprise computing architectures, the vast advances in visualisation is nearly every aspect of data centre and the continued growth of the internet has fuels the immense growth of cloud computing. The cloud is an ecosystem of various components and not just one product or single enterprise solution.
Choice of type of Cloud Platforms
The usage of cloud technologies have become a must for both large multinational and even small startups, the process of selecting a cloud platform can be a bit complicated by the fact that there is no common scheme for processing providers and offerings. The cloud market is a bit crowded in this era where there are several important features that should be considered in order to understand which cloud computing platform an enterprise should use, depending on their inherent business needs and the type of data to store (Varghese and Buyya, 2018).
The choice of the cloud type depends on various needs, like public clouds are most suitable for non sensitive data storage as they use a shared infrastructure and serve multiple consumers. The advantages are flexibility, scalability, reasonable price, however can have certain security issues.
The private clouds are suitable for sensitive data storage, especially for the healthcare and banking industries as they use a property infrastructure and serve specific customers. They work well for changing business models and unpredictable needs, some of the advantages are high security and great scalability. One disadvantage could be management and it’s high pricing too.
Choice of Data Centre and Standards
The data centre is one of the most dedicated spaces where an enterprise houses its most important information and relies on it being safe and accessible, best practices ensure that an enterprise is doing everything possible to keep it that way. The following of apt codes and standards seems to be an office direction when designing new or upgrading an existing data centre, design centre and infrastructure standard can range from national codes and green certifications are optional.
The codes must be followed when designing, building and operating your data center, but code is the minimum performance requirement to ensure life safety and energy efficiency in most cases. The data centre is going to probably be the most expensive facility of an enterprise. The code minimum fire suppression would involve having a wet pipe sprinkler in your data center usually. This system will help you to protect your data center in an effective manner.
Cloud System Architecture developed to solve the problem
One of the truisms about cloud architecture is that there are typically 100×100 architecture solution patterns and they all work but only one is the right solution. Indeed, many technology stacks and approaches will solve the same problems using cloud-based technologies as they all work but the majority will bring more risk, cost and complexity than an enterprise should endure in this modern technological era aptly.
The cost is easy as you can spend ten times what you need to, to solve the same problem and typically the architecture team layers on more technology than necessary or doesn’t take advantage of cloud-native features. It means that applications can burn more public resources.
Implementation using any cloud platforms
AWS, MS Azure or Google – let’s find out what’s the best cloud platform for an enterprise. Nowadays, more and more enterprises are moving from a self-organised structure to cloud-based public cloud storage as cloud gives a lot of benefit to enterprises. According to Cloud Vision’s 2020 survey, it is expected that 80% of global businesses worldwide will gradually move from traditional data centres by the year 2025.
The cloud leaders with the biggest cloud market share are Amazon Web Services (AWS), Microsoft Azure (MS Azure) and Google Cloud Platform (GCP). Amazon Web Services provider is considered to be the most confident public cloud service vendor on the market as it exists for 14 years.
Hence AWS has the biggest client database from individuals to big enterprises and government bodies too since the market trusts in great service of the AWS (Messerli, Voccio, and Hincher, RACKSPACE US Inc, 2017).
Microsoft Azure is quite a strong competitor to AWS which offers data resiliency, security and capacity planning. The uniqueness of Azure is its hybrid-cloud approach that means it provides great service to the customers as it is fully adaptive compatible with Linux and VMware too.
Google Cloud Platform is relatively youngest among the two above mentioned and it is striving to provide more innovative solutions to clouds (Gai, Qiu, Zhao, Tao, and Zong, 2016). GCP is an open-source technology that is very important for the IT market and it’s capabilities to handle data science makes it a worthy player.
However, the detailed analysis of the adopted cloud computing technology it can be stated that this system has the capability to change the global computing system and the approach towards international business operations as well. This system is capable enough to provide remote access to the members from different parts of the globe and it is also effective to ensure high level of security to the data as well.
Analysis and Reflection
I feel that the Google Cloud Platform’s pricing system is lower compared to Azure or AWS. I feel that it is best to find the prices for the AWS services and calculate an approximate cost for a particular service with the AWS calculator, Microsoft calculator and Google calculator herein. I also recommend checking out a more in-depth cloud platform comparison between AWS, MS Azure, and Google in pricing systems, compute services, cloud storage and cloud is helpful.
References
Rittinghouse, J.W. and Ransome, J.F., 2016. Cloud computing: implementation, management, and security. CRC press.
Stergiou, C., Psannis, K.E., Kim, B.G. and Gupta, B., 2018. Secure integration of IoT and cloud computing. Future Generation Computer Systems, 78, pp.964-975.
Hurwitz, J.S. and Kirsch, D., 2020. Cloud computing for dummies. John Wiley & Sons.
Botta, A., De Donato, W., Persico, V. and Pescapé, A., 2016. Integration of cloud computing and internet of things: a survey. Future generation computer systems, 56, pp.684-700.
Varghese, B. and Buyya, R., 2018. Next generation cloud computing: New trends and research directions. Future Generation Computer Systems, 79, pp.849-861.
Messerli, A.J., Voccio, P. and Hincher, J.C., RACKSPACE US Inc, 2017. Multi-level cloud computing system. U.S. Patent 9,563,480.
Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z., 2016. Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, pp.46-54.
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