Many cloud services utilize an API gateway, which enables them to be offered to users through API platforms such as Platform as a Service (PaaS), Software as a service (SaaS), Infrastructure as a Service (IaaS) and cross-platforms APIs. APIs are designed for functionality and speed by developers who write a small portion of code, which has visibility and is secure. The code that is created from third-party software or libraries has no visibility, which makes it insecure. APIs are the most vulnerable points of attack, and many users are not aware of their insecurity. This paper reviews API security in cloud applications and discusses details of API vulnerabilities, existing security tools for API security to mitigate API attacks. The author’s study showed that most users are unaware of API insecurity, organizations lack resources and training to educate users about APIs, and organizations depend on the overall security of the network instead of the security of standalone APIs.
This paper describes the operation of a single Degree of Freedom (DOF) flexible robotic arm by the optimal controller. The derived model is based on Euler- Lagrange approach, while the first and second-order (super twisting) Sliding Mode Control (SMC) is proposed as a nonlinear control strategy. Exploration of a flexible robotic arm with using state-of-the-art controllers is essential for practical applications. This is even more refreshing when these arms have joints that work independently of each other to create a smooth connection between the joints, but it still ensures the natural properties like a real human arm. This system has many similarities with the flexible link system of the MIMO model in its operational state analysis. Control laws must be followed by logical rules in a coherent whole. The next step is to design a controller to fit the structure of the system. The author also compared the use of the above controller with a system without using any controller to determine the effectiveness of using the above controller.
INTRODUCTION: Traditional Cloud Systems are struggling to cope with the exponential growth of data in todays’ distributed application environment. The amount of data online has continuously increased since 2003. From an estimated 5 Exabyte in 2003 to 988 Exabyte in 2010. Presently it is estimated that 5 Exabyte of data are produced daily. To cope with such astronomical load of data, Distributed Storage Systems such as Amazon, Google and Microsoft Azure are becoming the de-facto method for the storage of data. Replication is the method used for providing redundancy. However Erasure Coding is a worthy alternative. OBJECTIVES: The purpose of this paper is to assess the most used distributed storage systems using different evaluation criteria and identifying how erasure code can be integrated into them. METHODS: This paper provides a survey of well-known Distributed Storage Systems by using the CAP (Consistency, Availability and Partition Tolerance) Theorem. We go by presenting the solution according to the objectives set and trade-off acknowledged by the designers. RESULTS: A comprehensive survey is presented using five evaluation criteria (design principle, data model, failure detection and recovery, consistency and security). Adoption of erasure code in Distributed Storage Systems is discussed and its advantages are deliberated. Several open challenges are also put forward. CONCLUSION: This paper provides researchers in the field with a comprehensive review of Distributed Storage Systems and how the adoption of erasure codes will enhance their capabilities.
This paper describes the investigation of a flexible robotic arm with Degree of Freedom (DOF) through Linear Quadratic Gaussian (LQG) regulator under the influence of noise signals with using diagrams below. The derived model is based on the Euler-Lagrange approach while LQG mode is proposed as a modern control method. A flexible robotic arm that is test in the modern regulator is essential for applications. This is even more interesting while these arms have joints that work independently of each other, but they still ensure a tight connection between the joints. Testing the stability characteristics of the system through this regulator helps readers determine the output signals of a system exactly. From here, the author came up with strategies the match the requirements. Although the initial stage of the operating cycle is not stable with the use of LQG regulator, most of later stages of this process of closed systems of robotic systems gradually become stable. In particular, adjusting LQG for flexible joint robot gives satisfactory simulation results. This promises a positive result of other joint robot. Neural networks applied in this paper have proven its effectiveness in information security issues. It is also very useful for tight control of possible situations such as a large scale attack on network systems, automated control systems. The main contributions of this paper have been clearly demonstrated through two strategies that need to be addressed: LQG, neural networks for the data of LQG regulator.The methods described above have not been previously published for this model. Therefore, this article was born to outline the above objectives and the plans have been satisfactorily implemented. These studies are important because they serve as a necessary database in the selection of control strategies according to the requirements. Simulation results are done by Matlab. The purpose of the study of this paper: the author has searched for a stability of the system through the above methods. The applied method is a thorough study of the structure of the system as well as the construction of algorithms to form the regulator. The result ia a reliable simulation of events after the system is controlled by these regulators.
Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.
