Efficient incremental data backup of unison synchronize approach

Data communication and computer networks have enormously grown in every aspect of businesses. Computer networks are being used to offer instantaneous access to information in online libraries around the world. The popularity and importance of data communication has produced a strong demand in all sectors job for people with more computer networking expertise. Companies need workers to plan, use and manage the database system aspects of security. The security policy must apply data stored in a computer system as well as information transfer a network. This paper aimed to define computer data backup policies of the Incremental backup by using Unison synchronization as a file-synchronization tool and load balancing file synchronization management (LFSM) for traffic management. The policy is to be able to perform a full backup only at first as a one time from obtaining a copy of the data. The easiest aspect of value to assess is replacement for restoring the data from changes only and processing the correct information. As a result, the new synchronization technique was able to improve the performance of data backup and computer security system.

Adaptive Data Synchronization Algorithm for IoT-Oriented Low-Power Wide-Area Networks

The Internet of Things (IoT) is by now very close to be realized, leading the world towards a new technological era where people’s lives and habits will be definitively revolutionized. Furthermore, the incoming 5G technology promises significant enhancements concerning the Quality of Service (QoS) in mobile communications. Having billions of devices simultaneously connected has opened new challenges about network management and data exchange rules that need to be tailored to the characteristics of the considered scenario. A large part of the IoT market is pointing to Low-Power Wide-Area Networks (LPWANs) representing the infrastructure for several applications having energy saving as a mandatory goal besides other aspects of QoS. In this context, we propose a low-power IoT-oriented file synchronization protocol that, by dynamically optimizing the amount of data to be transferred, limits the device level of interaction within the network, therefore extending the battery life. This protocol can be adopted with different Layer 2 technologies and provides energy savings at the IoT device level that can be exploited by different applications.

Enterprise file synchronization and sharing services for educational environments in case of disaster

Cloud computing is an emerging solution that responds to the concept of Smart University; it aims at offering an intelligent environment of business continuity for the actors of an educational center. This research offers a recovery plan of educational services in case of disaster, through an action research, which analyzed free software for cloud computing, focusing on Enterprise File Synchronization and Sharing (EFSS). To achieve this, the implementation was placed in a local scenario (Linux Apache, MySQL, PHP, LAMP), and stress tests were performed on three applications: Nextcloud, Seafile and Pydio. Nextcloud had more consistent and better results than the other two applications; however, it lacks a system that allows synchronizing two Nextcloud instances. To solve this, we developed a routine aimed at providing an environment that monitors the hot site where the application is hosted and, from time to time, synchronize the instance to avoid data loss during disaster events. Afterwards, we configured a second application on a cold site that is alert to a possible service breakdown, so it can respond and sent immediate alerts. Finally, the usability of the routine was evaluated, and the disaster recovery plan for the EFSS was assembled, to offer a continuity of the educational services that are running in these environments.