scholarly journals SFCMon: An Efficient and Scalable Monitoring System for Network Flows in SFC-enabled Domains

2019 ◽  
Author(s):  
Michel Bonfim ◽  
Kelvin Dias ◽  
Stenio Fernandes
Keyword(s):  
Monitoring System ◽  
Data Structures ◽  
Network Flows ◽  
Reference Architecture ◽  
Proof Of Concept ◽  
Probabilistic Data ◽  
Scalable Monitoring ◽  
Performance Penalty

A comprehensive monitoring system is essential to assist solutions for most of SFC problems. Therefore, in this work, we propose SFCMon, an efficient and scalable monitoring solution to keep track network flows in SFC environments. To achieve the desired goals, SFCMon works with a pipeline of probabilistic data structures to detect and store large flows as well as perflow counters. For evaluation purposes, based on the SFC reference architecture defined by RFC 7665, we implement a Proof-of-Concept (PoC) framework, which provides a P4-based SFC switch and Python-based SFC Controller. Presented initial experiments demonstrate that SFCMon introduces a negligible performance penalty while providing significant scalability gains.

BloomyCAN: Probabilistic Data Structures for Software-defined Controller Area Networks

2021 ◽  
Author(s):  
Dennis Grewe ◽  
Naresh Nayak ◽  
Deeban Babu ◽  
Wenwen Chen ◽  
Sebastian Schildt ◽  
...  
Keyword(s):  
Data Structures ◽  
Probabilistic Data ◽  
Controller Area Networks

scholarly journals Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Joyoung Lee ◽  
Zijia Zhong ◽  
Bo Du ◽  
Slobodan Gutesa ◽  
Kitae Kim
Keyword(s):  
Energy Saving ◽  
Fiber Optics ◽  
Monitoring System ◽  
Data Center ◽  
Low Cost ◽  
Wireless Sensor ◽  
Navigation Systems ◽  
Urban Mobility ◽  
Proof Of Concept ◽  
Sensor Unit

This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.

scholarly journals A Security Monitoring Framework for Mobile Devices

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1197 ◽  
Author(s):  
António Lima ◽  
Luis Rosa ◽  
Tiago Cruz ◽  
Paulo Simões
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Lessons Learned ◽  
Bring Your Own Device ◽  
Reference Architecture ◽  
Proof Of Concept ◽  
Security Monitoring ◽  
Detection Systems ◽  
Management Policies ◽  
Computing Platforms

Quite often, organizations are confronted with the burden of managing mobile device assets, requiring control over installed applications, security, usage profiles or customization options. From this perspective, the emergence of the Bring Your Own Device (BYOD) trend has aggravated the situation, making it difficult to achieve an adequate balance between corporate regulations, freedom of usage and device heterogeneity. Moreover, device and information protection on mobile ecosystems are quite different from securing other device assets such as laptops or desktops, due to their specific characteristics and limitations—quite often, the resource overhead associated with specific security mechanisms is more important for mobile devices than conventional computing platforms, as the former frequently have comparatively less computing capabilities and more strict power management policies. This paper presents an intrusion and anomaly detection framework specifically designed for managed mobile device ecosystems, that is able to integrate into mobile device and management frameworks for complementing conventional intrusion detection systems. In addition to presenting the reference architecture for the proposed framework, several implementation aspects are also analyzed, based on the lessons learned from developing a proof-of-concept prototype that was used for validation purposes.

A Scalable Monitoring System for Distributed Environments

2009 ◽  
Author(s):  
Sayaka Akioka ◽  
Junichi Ikeda ◽  
Takanori Ueda ◽  
Yuki Ohno ◽  
Midori Sugaya ◽  
...  
Keyword(s):  
Monitoring System ◽  
Distributed Environments ◽  
Scalable Monitoring

scholarly journals Functional dementia assessment using a video monitoring system: Proof of concept

2013 ◽  
Vol 10 (4) ◽  
Author(s):  
E. Mulin ◽  
V. Joumier ◽  
I. Leroi ◽  
J.H. Lee ◽  
J. Piano ◽  
...  
Keyword(s):  
Monitoring System ◽  
Video Monitoring ◽  
Proof Of Concept

scholarly journals Probabilistic data structures applied to implicit graph representation

2018 ◽  
Author(s):  
Juan P. A. Lopes ◽  
Fabiano S. Oliveira ◽  
Paulo E. D. Pinto
Keyword(s):  
Data Structures ◽  
Streaming Data ◽  
Space Complexity ◽  
Graph Representation ◽  
Bloom Filters ◽  
Probabilistic Data ◽  
Implicit Representation ◽  
Large Graphs ◽  
Sparse Graphs ◽  
Timely Fashion

In recent years, probabilistic data structures have been extensively employed to handle large volumes of streaming data in a timely fashion. However, their use in algorithms on giant graphs has been poorly explored. We introduce the concept of probabilistic implicit graph representation, which can represent large graphs using much less memory asymptotically by allowing adjacency test to have a constant probability of false positives or false negatives. This is an extension from the concept of implicit graph representation, comprehensively studied by Muller and Spinrad. Based on that, we also introduce two novel representations using probabilistic data structures. The first uses Bloom filters to represent general graphs with the same space complexity as the adjacency matrix (outperforming it however for sparse graphs). The other uses MinHash to represent trees with lower space complexity than any deterministic implicit representation. Furthermore, we prove some theoretical limitations for the latter approach.

scholarly journals A Reference Architecture for Interoperable Reservation Systems in Electric Vehicle Charging

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1405-1427
Author(s):  
Robert Basmadjian ◽  
Benedikt Kirpes ◽  
Jan Mrkos ◽  
Marek Cuchý
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Ad Hoc ◽  
Reference Architecture ◽  
Proof Of Concept ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Reservation System ◽  
Stakeholder Requirements

The charging infrastructure for electric vehicles faces the challenges of insufficient capacity and long charging duration. These challenges decrease the electric vehicle users’ satisfaction and lower the profits of infrastructure providers. Reservation systems can mitigate these issues. We introduce a reference architecture for interoperable reservation systems. The advantages of the proposed architecture are: it (1) considers the needs of the most relevant electric mobility stakeholders, (2) satisfies the interoperability requirements of existing technological heterogeneity, and (3) provides a classification of reservation types based on a morphological methodology. We instantiate the reference architecture and verify its interoperability and fulfillment of stakeholder requirements. Further, we demonstrate a proof-of-concept by instantiating and implementing an ad-hoc reservation approach. Our validation was based on simulations of real-world case studies for various reservation deployments in the Netherlands. We conclude that, in certain high demand situations, reservations can save significant time for electric vehicle trips. The findings indicate that a reservation system does not directly increase the utilization of the charging infrastructure.

Sign in / Sign up

Export Citation Format

Share Document