Learn More
Keywords: Cloud computing service composition Systematic literature review Quality of service parameter QoS Research objectives Importance percentage of quality of service parameters a b s t r a c t The increasing tendency of network service users to use cloud computing encourages web service vendors to supply services that have different functional and(More)
Enterprise Resource Planning (ERP) systems are widely used by many multinational companies throughout the world. Recently, many institutions of higher learning have replaced their legacy systems to ERP systems as a means for integration advantages. Investments with this ERP system are representing the largest investment for institutions of higher learning.(More)
In this paper, we present an efficient algorithm for cluster analysis, which is based on gravitational search and a heuristic search algorithm. In the proposed algorithm, called GSA-HS, the gravitational search algorithm is used to find a near optimal solution for clustering problem, and then at the next step a heuristic search algorithm is applied to(More)
Service composition is among the most important challenges that cloud providers have ever faced. Optimization of QoS attributes when composing simple atomic services to obtain a complex service can be considered to be an NP-hard problem, which could be solved properly by using Hybrid optimization algorithms. In this research, the hybridization of an(More)
Aiming to provide satisfying and value-added cloud composite services, suppliers put great effort into providing a large number of service providers. This goal, achieved by providing the ''best'' solutions, will not be guaranteed unless an efficient composite service composer is employed to choose an optimal set of required unique services (with respect to(More)
Enterprise Resource Planning (ERP) systems are widely used by many multinational companies throughout the world. Recently, many institutions of higher learning have replaced their legacy systems to ERP systems as a means for integration advantages. Investment with this ERP system are representing the largest investment for institutions of higher learning,(More)
Carbon monoxide (CO) is one of the main air pollutants produced by incomplete combustion process particularly in the urban areas and exposing to the CO polluted environments will definitely affect human health. Therefore, providing a comprehensive computer modeling based on the current and previous related information for further study, analyses and(More)
Association rules are adopted to discover the interesting relationship and knowledge in a large dataset. Knowledge may appear in terms of a frequent pattern discovered in a large number of production data. This knowledge can improve or solve production problems to achieve low cost production. To obtain knowledge and quality information, data mining can be(More)
Naïve Bayesian classifier is one of the most effective and efficient classification algorithms. The elegant simplicity and apparent accuracy of naive Bayes (NB) even when the independence assumption is violated, fosters the on-going interest in the model. This paper discusses issues on NB along with its advantages and disadvantages. We also present(More)