Route analytics

Abstract: Contrasting multi-level routes (e.g., IP, subnet, AS levels) is an analytical primitive underpinning many applications, such as route asymmetry and/or diversity measurement, route change characterization, efficient route-tracing design, and others. We are the first to identify that current approaches incur redundant node comparisons, because they treat each level independently. We propose a new approach called rtd that eliminates the redundancy, therefore improves the analysis efficiency, by integrating all levels recursively. Our extensive evaluations on simulated traces and real data from Ark, FastMapping, and iPlane datasets show that rtd eliminates 85% comparisons on average and doubles the analysis speed. Finally, we design a route clustering application using rtd, and demonstrate how it aids the monitoring of an ISP transition.

Abstract: Aim: Objectives of the study are to design i) an online restaurant ordering system that will implement an e-commerce framework and ii) an application that will allow clients to view restaurants based on the clients’ desired specialities.Methodology: This paper followed the proper System Development Life Cycle consisting of planning, analysis, design, implementation and maintenance. Data was obtained through observation in different restaurants.Findings: A digital application named Eatsarap.PH is designed and successfully implemented. With the use of the e-commerce framework, EatsarapPH was done to give ease to customers and restaurants.Implications/Novelty: The application gives convenience to customers and restaurants by eliminating ordering queue time, online menu is easier to manage, and the transaction can be done without any hassle. It is a new design which is useful for both the customers and managers of restaurants.