Machine learning
The inventors Dinh, Hung, Linsey, David J., and Mohanty, Bijan Kumar have developed a cloud instance prediction platform that utilizes machine learning algorithms to predict the configuration of a cloud instance based on the features of an application. The platform aims to simplify the process of selecting the optimal virtual
Algorithms
Researchers from Istanbul University Cerrahpasa have developed a novel hybrid optimization algorithm, Differential Evolution Cat Swarm Optimization (DECSO), to address the challenges of efficient task scheduling in cloud computing. This study aims to assign tasks to virtual machines to minimize completion time and maximize resource utilization. The proposed DECSO algorithm
Cloud computing
Researchers from Southwest Jiaotong University have developed a robust mechanism for ensuring fine-grained access control in personal health records (PHR) sharing in cloud computing environments. This cutting-edge technology utilizes attribute-based signatures and verifiable attribute-based keyword search, enabling secure and verifiable Boolean keyword searches over encrypted data. The system integrates real-time
Software industry
The inventors Dinh, Hung, Linsey, David J., and Mohanty, Bijan Kumar have developed a cloud instance prediction platform that utilizes machine learning algorithms to predict the configuration of a cloud instance based on the features of an application. The platform aims to simplify the process of selecting the virtual environments
Cloud computing
A comprehensive benchmark study conducted by the Cloud Security Alliance (CSA) and Dropzone AI has found that AI-assisted security analysts exhibit greater speed and accuracy compared to their manual counterparts. The study, featuring over 140 participants, assessed the performance of SOC analysts under various investigative conditions, with and without AI
Cloud computing
Researchers from Southwest Jiaotong University have developed a robust mechanism for ensuring fine-grained access control in personal health records (PHR) sharing in cloud computing environments. This cutting-edge technology utilizes attribute-based signatures and verifiable attribute-based keyword search, enabling secure and verifiable Boolean keyword searches over encrypted data. The system integrates real-time
Cloud computing
A new study on information and data encoding and encryption has been published, highlighting the importance of secure data transmission in the era of cloud computing and the Internet of Things (IoT). The research, conducted by the Center for Research and Advanced Studies, found that the integration of cloud computing
Cloud computing
Researchers at the Chitkara University Institute of Engineering and Technology have published a new report highlighting the impact of artificial intelligence on industrial processes. According to the study, the Industrial Internet of Things is transforming industrial processes by integrating edge, fog, and cloud computing to offer predictive maintenance and reduce
Cloud computing
Investigators at Guru Nanak Dev University have developed a fog-based framework designed to address the rising incidence of heatstroke through efficient, real-time healthcare solutions. The research team leveraged fog computing, cloud computing, and Internet of Things (IoT) sensors to overcome the limitations of traditional cloud computing in handling real-time IoT
Cloud computing
Researchers at Islamic Azad University have developed an energy-conscious scheduling framework for serverless edge computing in IoT (Internet of Things) environments. The framework is designed to optimize resource allocation and reduce energy consumption while maintaining system availability. Key Takeaways: * The proposed framework, called energy-conscious intelligently-driven scheduler, considers residual energy across
Cloud computing
Researchers at the Beijing Institute of Technology have developed a new method for reducing the risk of system failures in cloud computing systems. Their study, published in Quality and Reliability Engineering International, focuses on the growing safety challenges associated with data transmission and processing in cloud computing systems. The researchers
Cloud computing
Researchers at Dr. Harisingh Gour Central University have made significant progress in optimizing workflow execution in cloud computing environments. The team has proposed a Modified Fork and Join Scheduling algorithm, termed as MFJS, which aims to minimize makespan, reduce resource utilization, and enhance overall efficiency. The study utilized real scientific
