Discuss about the Laboratory Test Bench for Research Network.
Cloud based solutions are resources accessed via the internet for instance, applications, data, on-demand services using infrastructure provided by the cloud computing provider. These solutions have several advantages to the user including functionalities, scalability, reduced maintenance cost and capacity. Cloud based solutions drive businesses and organizations to focus more on operations that bring more profit and revenue rather than non-important processes that waste time. (Safonov, 2016).
The price of the cloud computing models is grouped by cloud storage, cloud servers and cloud sites. The most common subscription type by cloud service providers is pay-as-you-go which facilitates scalability and easy management of resources by companies. Internet connection has facilitated accessed of cloud solution anytime and anywhere. Adoption of cloud computing is quickly rising every day because the costs have been reduced greatly. (In Bhatt, & In Peddoju, 2017).
Due to reduction in cyber security a lot of businesses and organization are ow implementing these solutions as it offers several categories of services and performance is increased. Headspace, opting for this kind of solution will benefit it greatly. The crucial data held by Headspace will be much safer and availability will be guaranteed. Data storage in the cloud have raised several concerns like privacy, data security, backups and data transfer. Even though cloud based solution come with several advantages a business should be able to answer a critical question when venturing into cloud computing, that is, who owns data? Where data was created and stored determines the actual ownership of it. (Furht, & Escalante, 2010).
Data stored in the cloud are of two categories. One is that which is uploaded by the user after creating it and two that which is generated in the platform of the cloud. Data uploaded by the user may be covered by copyright laws while that created in the cloud is not.
Data security is very important regardless of cloud service implemented. Data in the cloud can be encrypted so as to enhance it security and give control to the user. Up to date no regulations have been developed to govern cloud computing, thus, cloud based solution providers are the once who cset the rules of business. It is necessary for a business or individual t have all the facts about cloud computing before venturing into it, that is, associated cost, advantages and disadvantages. This will facilitate a better understanding on cloud computing and data management revolving around it. (Antonopoulos, & Gillam, 2017).
When organizations like Headspace adopt cloud based solution they anticipate them to have some specific abilities that will meet their needs. The following four aspects should be considered when opting for a cloud based solution:
Latest technology: cloud providers should have the platform up to date with the current technology. Providers should ensure that their services can integrate with the current operating systems and dependent software. (Ruparelia, 2016).
Device Independence: providers should ensure that clients can access their services form any end-device.
Platform Independence: users of the cloud services should be able to identify hardware requirements for the particular service they are adopting.
Cloud Functionality: capabilities like scalability, elasticity, rapid provisioning and is not offered in other platforms is what makes services offered by the cloud considered functional by end users.
Cloud services should facilitate the users to have the ability to customize their user interface to suit their requirements. The following are features are what cloud users should anticipate:
Accessibility: users should be able to access cloud services from anywhere ate any time and using any end device either a mobile phone, tablet or PC. (Hua & Wang, 2016)
Customization: cloud services should enable users to customize their user interface to meet their look and feel needs. Businesses may opt for a common user interface so as to reduce maintenance requirements. (Safonov, 2016).
Data Ownership: cloud services should give users full ownership of the data they store in the cloud provider they choose. Users should set up policies to usage and accessibility of the data.
Access Management: several access authentications should be used so as to increase security of the data stored in the cloud. The user should not be aware of these authentication levels.
Control: cloud providers should give clients some sense of dominion over the abilities of the services offered in the cloud.
When organizations or individuals want to adopt cloud services, they should consider the following reliability attributes:
Available: a cloud service should offer agreed functionalities for the specified period of time. Therefore, it is the responsibility of the cloud provider to ensure availability of these resources at all times.
Responsive: cloud services should have fast response time because that’s what the user looks for in a services, quick, fast and reliable. Performance should be of a high degree. Response time is that period taken to respond to a user request. (In Bhatt, & In Peddoju, 2017).
Consistent: the functionality of a cloud service should remain the same under each situation. It should not conflict with the devices the user is using to access these services.
Transparency: technologies used and policies of cloud solutions provider should be provided clearly to the cloud user. Company users should be able to access data centers of the cloud and identify the information about capabilities of the cloud platform and changes planned.
Error-Resistant: cloud services should have the capabilities to detect, prevent, eliminate errors that may occur. Also in case of disaster it should have recovery capabilities.
Headspace expects cloud bases solutions to add value to the organization. The main aspects to add value to them include:
Savings: implementing cloud services, headspace will reduce the cost of maintaining infrastructure, application and storage devices. (Furht, & Escalante, 2010).
User satisfaction: cloud providers should focus on satisfying the needs and requirements of the user so as to continue utilizing the service.
Utility: Cloud services should offer services that cannot be offered by other IT platforms. For example, volubility of cloud services is seen in big data applications, pervasive and mobile computing.
Data security is a very essential factor that Headspace should consider about in cloud computing. There exist three aspects that should be critically considered when opting for a cloud service
Security: detection and prevention of unauthorized access and attacks should be key in any cloud service. Functionality of a cloud service is compromised if there is an attack on it. These attacks increase vulnerability of cloud services even though they might not harm company confidential data directly. (Antonopoulos, & Gillam, 2017).
Privacy: private and confidential data like financial information, personal information and geolocation of a cloud user should be secured from third party access or leakage at all times. Privacy of a company or individual is compromised by privacy attacks. Cloud providers should ensure only authorized user with the right credentials are allowed to access the data so as to facilitate user privacy.
Authorization: cloud services should only allow authorize user to access data in the cloud. An organization should employ system administrator who will manage user credentials and access.
Trust: cloud service provider should be able to instill some trust into the cloud users based on how data is handles, general user experience, facilitation of user’s tasks all lead to enhancing user’s trust on the service. (Pluzhnik, Nikulchev, & Payain, 2014).
First, it is a powerful and easy software development methodology. Stages are organized so that anyone including new developers can have the knowledge of how software development is carried out by aid of software development life cycle (SDLC). (Satzinger, Jackson, & Burd, 2008).
Secondly, it saves on efforts, time and cost of software development. This is a discipline approach and help developers not develop software that does not meet the requirements.
Thirdly, this approach makes the stakeholders define company needs correctly and software requirements. Also developers are necessitated to understand the objectives and requirements of the clients well before design and coding the software. (Mohammed, 2016).
Finally, with this approach documentation id done at every step thus, facilitating requirements’ better understanding.
The system requirements are predetermined therefore; it doesn’t give room for modification or mistakes.
Scope of the project should be clearly outlined because modifications are not possible when using predictive approach. If stakeholders are not quick at making decisions, it may pose great changes to the project.
There is limited communication between the project team and the client at the start and end of the development of the software, thus, getting clarification on unclear requirements is a big challenge. (Tilley & Rosenblatt, 2016).
Predictive approaches are not based on matrix operation therefore; important development members remain idle for long period thus making the project activity rigid.
This approach can be expensive especially when changes are needed in the system because it does not give room for modification during development.
Risk are managed through repeated developments. System programmers develop prototype based on characteristics that are highly prioritized. Then the prototype is subjected to tests and necessary modification are made accordingly, thus, minimizing the failures and risks that are associated with system modification. (Mohammed, 2016).
Changes and modifications are accommodated in this approach in any stage of the project due to its adaptability.
Estimation of costs is made simple and the client gets control over new system administration because development of prototypes is carried out in small modules.
Client knowledge on the new system increases as the final stage of the model is arrived at because the client is involved in every phase of the development.
However, it has some limitations which include;
This approach works well only in bigger projects that involve larger amount of money and system complexities are high.
Also it requires high level expertise for risk evaluation and undesired uncertainties associated with the system being developed.
This approach operates on strict protocols which is a must to observe.
Risk evaluation increases the cost of the project which may be higher than the value of developing the system.
Conclusion
When it comes to development, adaptive approaches are better than predictive. This is because there is continuous and repeated development of the system making it inclined more on the user requirements. Also its flexibility reduces the risk of building the wrong system or what is normally call project failure. Furthermore, due to continuous client participation the chances of developing a correct solution is increased. (Satzinger, Jackson, & Burd, 2008).
References
Antonopoulos, N., & Gillam, L. (2017). Cloud computing: Principles, systems and applications. Cham, Switzerland: Springer.
Furht, B., & Escalante, A. (2010). Handbook of cloud computing. New York: Springer.
Harfoushi, O. , Akhorshaideh, A. , Aqqad, N. , Janini, M. and Obiedat, R. (2016) Factors Affecting the Intention of Adopting Cloud Computing in Jordanian Hospitals. Communications and Network, 8, 88-101. doi: 10.4236/cn.2016.82010.
Hua, Z. and Wang, X. (2016) Cloud Computing and the Essentials of Security Management. Open Access Library Journal, 3, 1-4. doi: 10.4236/oalib.1102618.
In Bhatt, C. M., & In Peddoju, S. K. (2017). Cloud computing systems and applications in healthcare. Hershey, PA : Medical Information Science Reference.
Istepanian, R. (2016). m-health: Fundamentals and applications. Wiley-IEEE Press.
M.Mohammed, N. (2016). Exploring software security approaches and their limitations in SDLC.
Saarbru?cken LAP LAMBERT Academic Publishing.
Pluzhnik, E. , Nikulchev, E. and Payain, S. (2014) Laboratory Test Bench for Research Network and Cloud Computing. International Journal of Communications, Network and System Sciences, 7, 243-247. doi: 10.4236/ijcns.2014.77026.
Ruparelia, N. (2016). Cloud computing. Cambridge, Massachusetts : The MIT Press.
Safonov, V. O. (2016). Trustworthy cloud computing. Hoboken, New Jersey : Wiley.
Satzinger, J. W., Jackson, R. B., & Burd, S. D. (2008). Systems analysis and design in a changing world. Cambridge Mass: Course Technology.
Tilley, S., & Rosenblatt, H. J. (2016). Systems Analysis and Design. Boston, MA: Cengage Learning US.
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