Analysis of Cloud Storage Issues in Distributed Cloud Data Centres by Parameter Improved Particle Swarm Optimization (PIPSO) Algorithm

Cloud Computing environment provides several on demand services for users. The recent problem and important issues in cloud computing is to optimize cloud storage over distributed data centers. The cloud storage optimization problem is considered as one of most challenging task. To overcome storage issues, the Parameter Improved Particle Swarm Optimization (PIPSO) technique is proposed. This paper presents the objective and the requirements of the distributed cloud storage issue based on the current topology. PIPSO technique manages each other between two server centers. The simulation has been done in MATLAB programming software. The results show that proposed technique achieves better results when compared with the other existing methods

Blockchain-enabled K-harmonic framework for industrial IoT-based systems

Abstract Industrial Internet of Things (IIoT)-based systems have become an important part of industry consortium systems because of their rapid growth and wide-ranging application. Various physical objects that are interconnected in the IIoT network communicate with each other and simplify the process of decision-making by observing and analyzing the surrounding environment. While making such intelligent decisions, devices need to transfer and communicate data with each other. However, as devices involved in IIoT networks grow and the methods of connections diversify, the traditional security frameworks face many shortcomings, including vulnerabilities to attack, lags in data, sharing data, and lack of proper authentication. Blockchain technology has the potential to empower safe data distribution of big data generated by the IIoT. Prevailing data-sharing methods in blockchain only concentrate on the data interchanging among parties, not on the efficiency in sharing, and storing. Hence an element-based K-harmonic means clustering algorithm (CA) is proposed for the effective sharing of data among the entities along with an algorithm named underweight data block (UDB) for overcoming the obstacle of storage space. The performance metrics considered for the evaluation of the proposed framework are the sum of squared error (SSE), time complexity with respect to different m values, and storage complexity with CPU utilization. The results have experimented with MATLAB 2018a simulation environment. The proposed model has better sharing, and storing based on blockchain technology, which is appropriate IIoT