Emerging Cloud Computing services- A brief opinion article Yulin Yao Freelance Consultant, Anastaya, United Kingdom, UK
[email protected] Abstract Cloud Computing has offered many services to organizations and individuals. The emerging types of services such as analytics, mobile services and emerging software as a service have been offered but there is a lack of analysis on the current status. Core technologies for emerging Cloud services have been identified and presented. This brief opinion paper provides an overview of the current emerging Cloud services and explains the benefits for several disciplines. Four areas have been identified that may bring in more positive impacts for the future direction. 1
Introduction
Cloud Computing has moved in different directions due to the maturity of different technologies, easier access to data, improvement in quality of service, availability, usability and security (Buyya et al., 2009; Armbrust et al., 2010; Marston et al., 2011). However, there are different recommendations in which directions that Cloud Computing should move forward. Mobile Cloud is popular due to the rise and availability of mobile services with affordable costs (Fernando et al., 2013; Chang, 2014 a). A lot of services can be delivered online and on mobile internet so that people can receive, share and store almost information quickly and instantly. Similarly, there are different types of services such as weather forecasting and simulation which can make the public to be more aware of the extreme weather conditions, so that they can make better preparations for challenges ahead. There is a Business Intelligence as a Service which can monitor the status of return and risk in real-time and predict the market trends, so that the stakeholders can make better judgment on their investment (Chang, 2014 b; Ramachandran and Chang, 2014). Gaming as a Service (Yao and Chang, 2014; 2015) provides interactive gaming services for millions of users who can play online. The trust and friendship they have developed can be essential for community building and business opportunities. Disaster Recovery and Storage as a Service (Chang, 2015 a) can ensure all big data can be protected and services to be resumed in a short of time when major accidents have happen. The benefits of doing so can allow business continuity with a minimum impacts to disruptions. There are also also security concerns and improvements to ensure that all services and users are safeguarded from real attacks. There are services to blend with firewall, access control, identity management, encryption and Openstack to allow data is always protected from unauthorized access (Chang et al, 2016 a; Chang and Ramanchandran 2016). All these examples lead to the development of Emerging Software as a Service and Analytics (ESaaSA), which aim to understand the complexity behind each discipline, run simulations at the background and present the results in a way that can be understood more easily by the general public without even the background knowledge. This serves the future trends in the Emerging Cloud Computing Services, 1
whereby Chang (2016 a) demonstrates several examples in different disciplines and explains the contributions for each discipline under his proposed “Emerging Software as a Service and Analytics” (ESaaSA). 2. Core technologies This section explains the core technologies used by Emerging Cloud Computing Services essential for the service development, maintenance and expansion. Database and data warehouse: All the collected datasets should provide storage, query and archiving services and allow users to understand, query and synthesize datasets (Di Meglio et al., 2014). Artificial intelligence and machine learning: Artificial intelligence and machine learning can compute all the mathematical models and complexity behind the scenes and ensure all results can be modeled quantitatively (Chen et al., 2014). System and software architectures: Modern system and software architectures should be developed to ensure all services can be efficiently functioned (Zhang et al., 2010), such as the use of API for architecture development (Chang, 2014 b). Statistical computing and analysis: They provide useful analysis for computational and social scientists such as the use of Organizational Sustainability Modeling (OSM) to provide useful real cases (Chang et al., 2016 b) Visualization and analytics: Visualization and analytics can ensure users can understand scientific outputs better and easier, particularly from numerical computing to visualization and analytics (Antcheva et al., 2009; LaValle et al., 2013). Predictive modeling and analysis: Results of the previous data can be used to predict the likely trends and study the similar patterns and behaviors between different datasets, correlations and variables (Cohen et al., 2013). Big Data services: Big Data services including volume, velocity, variety, veracity and value should be provided with real deployment and case studies (Chang and Wills, 2016). Security: All services must be secure and protected from hacking and unauthorized access. Large scale data analysis should be provided to know the latest trends (Chang et al., 2016 a; 2016 c). Other areas: Other areas include the integration with the latest technologies such as Big Data and Internet of Things, whereby more users can interact with other individuals and businesses within an interactive platform.
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3. Disciplines relevant for Emerging Cloud Computing services A growing number of disciplines can receive benefits as a result of Emerging Cloud Computing services as follows. Healthcare: All the services can allow scientists to perform their tasks better, patients to have the data secure and more meaningful analysis to be undertaken. For example, Chang (2014 c) demonstrate brain segmentation as a service service and explain the benefits to understand analysis and implications in seconds. Finance: Financial services can understand the impacts and benefits by adopting risk visualization as a service (Chang, 2014 b), Monte Carlo Simulation as a Service (Chang et al., 2014) and Business Intelligence as a Service (Chang, 2014 b) to ensure that businesses can stay competitive in understanding all the data analysis in real time. Education: Education as a Service (Chang and Wills, 2013) has been developed to study the impacts on learning and satisfaction. There are also studies to identify success factors for learning and training, whereby Chang (2015 b; 2016 b) demonstrate the effectiveness of interactive learning that can be adopted for industry and academia with selected examples in five organizations. Social networks: Chang (2016 c) develop Social Network as a Service to understand the relationship within his network which can be taken as an example to demonstrate the effectiveness and power of the network. Natural science research: Emerging Services and Analytics can be used to simulate complex natural disasters, weather science and biological simulations as demonstrated by Chang (2016 a). Frameworks: Frameworks can be adapted in multi-disciplines since they introduce ethe best practices. Frameworks can provide useful insights, recommendations and case studies with positive impacts (Chang et al., 2013; Chang and Ramanchandran 2016). 4. Discussion Critical success factors are required to ensure all emerging Cloud Computing services can serve the purpose. As an opinion paper, the future direction for Cloud Computing can be influenced by the followings: Business Models: Business models need to follow the market demands to ensure businesses can stay competitive. Emerging services such as mobile services, analytics, financial apps and health checks can help organizations to improve their business opportunities, revenues, collaboration, reputation, efficiency and customer satisfaction (Chang, 2015 c).
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Security and privacy: All services should always stay secure and protected against all types of attacks and attempts to steal, corrupt and destroy data. A variety of solutions should be demonstrated to provide improved level of security and privacy for all users (Mather, et al., 2009). Mega storage: The rise of data creation, usage and arching can pose challenges since petabytes and zetabytes of data need to be taken care of on the daily basis. Intelligent ways to deal with mega storage services should be provided (Antcheva et al., 2009; Chang, 2014 d). Entertainment: Gaming, video, sports, music and related entertainment services can reach millions of users and have increased importance in the market trend and popularity (Parameswaran and Whinston, 2007; Chang, 2015 c). 5. Conclusion and Future Work This opinion paper presents an overview of emerging Cloud computing services and explains why the emerging services can provide a better quality and future-proof trends over the other traditional services focused on infrastructure. Future directions have been discussed. Our future work will include investigations of related modern technologies such as Internet of Things and Big Data, as well as how to integrate services in collaborative, secure and easy-to-use platforms.
6. References
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