46,322 research outputs found
ENHANCEMENT FOR DATA SECURITY IN CLOUD COMPUTING ENVIRONMENT
Cloud computing, a rapidly developing information technology, has aroused the concern of the whole world. Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. Cloud computing is the product of the fusion of traditional computing technology and network technology like grid computing, distributed computing parallel computing and so on. It aims to construct a perfect system with powerful computing capability through a large number of relatively low-cost computing entity, and using the advanced business model like SaaS (Software as a Service) to distribute the powerful computing capacity to end users’ hands. To address this longstanding limitation by building a multi-tenant system. Our system provides the environment for the user to perform his tasks, but with very high security. By using further facilities provided in this system user fill secure about his data and his account
On Reliability of Smart Grid Neighborhood Area Networks
With the integration of the advanced computing and communication technologies, smart grid system is dedicated to enhance the efficiency and the reliability of future power systems greatly through renewable energy resources, as well as distributed communication intelligence and demand response. Along with advanced features of smart grid, the reliability of smart grid communication system emerges to be a critical issue, since millions of smart devices are interconnected through communication networks throughout critical power facilities, which has an immediate and direct impact on the reliability of the entire power infrastructure. In this paper, we present a comprehensive survey of reliability issues posted by the smart grid with a focus on communications in support of neighborhood area networks (NAN). Specifically, we focus on network architecture, reliability requirements and challenges of both communication networks and systems, secure countermeasures, and case studies in smart grid NAN. We aim to provide a deep understanding of reliability challenges and effective solutions toward reliability issues in smart grid NAN
Fog Computing for Efficient Power Consumption Predictions in Smart Grids
Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and so on over the Internet. However, the explosion of the Internet of Things (IoT) devices and the high volume and variety of data generated by these devices, is creating challenges in handling large and rapid computations. Such challenges require a reliable and secure system with low latency. Fog Computing is a promising solution to address these challenges. The approach allocates tasks down to devices that are closer to the sensors which will provide immediate feedback to systems of time sensitive IoT applications. Latency, location awareness and highly virtualized computational models are some of the advantages that Fog Computing has over Cloud Computing. In this thesis work, smart grid is used as a use case. Power consumption prediction was used as a task to perform model training and prediction. In addition, comparisons of the mathematical models were performed to find out which of the models perform better in providing sound predictions and which models are better in resource usage. Finally, the computations were performed on both Fog and Cloud devices to compare CPU time and memory usages of the models in each device
Secure Integration of Desktop Grids and Compute Clusters Based on Virtualization and Meta-Scheduling
Reducing the cost for business or scientific computations, is a commonly expressed goal in today’s companies. Using the available computers of local employees or the outsourcing of such computations are two obvious solutions to save money for additional hardware. Both possibilities exhibit security related disadvantages, since the deployed software and data can be copied or tampered if appropriate countermeasures are not taken. In this paper, an approach is presented to let a local desktop machines and remote cluster resources be securely combined into a singel Grid environment. Solutions to several problems in the areas of secure virtual networks, meta-scheduling and accessing cluster schedulers from desktop Grids are proposed
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