Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

Abstract

<p>Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.</p>

A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

“…The completed cloud computing infrastructure design provides customers with network security, uninterrupted services, and high bandwidth using the Internet. Figure 2 illustrates the generic cloud architecture which includes the main components of cloud computing, mainly: infrastructure, storage, service, application, management, and security [2]. Cloud computing systems can be divided into two parts: the front end and the back end, and both are connected and can be accessed via the Internet.…”

“…SaaS is a software delivery model by which a fully functional subscription-based model is delivered online to the customers, where the end customer can usually access SaaS offers online. Figure 4 shows the responsibility and management of the cloud customer and the CSP that manage various components of the offering SaaS [2].…”

“…In addition, using cloud computing, both, companies and individuals, may quickly and cheaply develop software and hardware of their own, in order to promote their goods in the market [2]. Cloud services are delivered by cloud service providers (CSPs) that provide a wide range of services for their customers, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Program as a Service (SaaS), Storage as a Service (STaaaS), and Security as a service (SECaaS), the test environment as a service (TEaaS), and many more.…”

Latest trends, challenges and solutions in security in the era of cloud computing and software defined networks

“…The Figure 1 shows the different components of the Cloud Computing Architectural Framework. The discussion of each component of the architectural framework is out of scope of this paper however it has been discussed in detail in the following paper [24].…”

SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic

“…This model will continue to study every transaction data that occurs so that the number of orders to suppliers will be optimal. Several recent studies [35]- [37] have suggested that machine learning is needed to get a simple and more accessible method by downloading experiment simulation data packages and creating intelligent decision making [38]- [42] have suggested that machine learning proves the ability of computer algorithms to improve performance over time, handle data more efficiently, select relevant features and power system reliability. Machine learning can improve performance by modeling the transients in the switches, one of which is the agricultural sector [43], [44].…”