Mobile Agent based Market Basket Analysis on Cloud

This paper describes the design and development of a location-based mobile shopping application for bakery product shops. Whole application is deployed on cloud. The three-tier architecture consists of, front-end, middle-ware and back-end. The front-end level is a location-based mobile shopping application for android mobile devices, for purchasing bakery products of nearby places. Front-end level also displays association among the purchased products. The middle-ware level provides a web service to generate JSON (JavaScript Object Notation) output from the relational database. It exchanges information and data between mobile application and servers in cloud. The back-end level provides the Apache Tomcat Web server and MySQL database. The application also uses the Google Cloud Messaging for generating and sending notification of orders to shopkeeper.Comment: 6 pages, 7 figure

Review of the environmental and organisational implications of cloud computing: final report.

Cloud computing – where elastic computing resources are delivered over the Internet by external service providers – is generating significant interest within HE and FE. In the cloud computing business model, organisations or individuals contract with a cloud computing service provider on a pay-per-use basis to access data centres, application software or web services from any location. This provides an elasticity of provision which the customer can scale up or down to meet demand. This form of utility computing potentially opens up a new paradigm in the provision of IT to support administrative and educational functions within HE and FE. Further, the economies of scale and increasingly energy efficient data centre technologies which underpin cloud services means that cloud solutions may also have a positive impact on carbon footprints. In response to the growing interest in cloud computing within UK HE and FE, JISC commissioned the University of Strathclyde to undertake a Review of the Environmental and Organisational Implications of Cloud Computing in Higher and Further Education [19]

Data Security on Backed Up Data and Recovery in Cloud Storage

Cloud provides its users with different services. Every day during cloud computing, a great deal of data is generated. On the cloud servers, the data is being saved. A recovery tool should be created in case this data is lost from the server. One such setup is described in this consideration. The proposed approach would enable simultaneous data storage on the inaccessible server and the cloud server. The information is returned from the farther server when the key record is misplaced. Secret key security is ensured so that the authentication is secure and authorized by the user based on the attributes of backup and recovery. A cloud is a distinct Information Technology infrastructure designed to provide its users with different facilities that can be gotten to remotely. Cloud alludes to the term arrange of systems that back get to decentralized Data Innovation assets. Cloud employments the Web as well as the inaccessible central servers to manage consumers and businessmen's data and applications. This helps to save the consumer from costs and room problems. It is a technology that makes data collection, processing, and bandwidth much more centralized. A cloud encompasses a certain restrain, because it could be a certain system utilized to supply assets remotely. The Web offers get to an endless number of clouds. Though the Web offers free get to a few web-based Information Technology services, a cloud is generally private and provides wireless data resources. Much of the Internet is accessible via the web service to Information Technology services. On the other hand, the Information Technology services supplied by cloud environments are intended to provide back-end computing capabilities and browser access.

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems