A5024670650- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Advanced Optical Network Technologies
- Internet Traffic Analysis and Secure E-voting
- Peer-to-Peer Network Technologies
- Complex Network Analysis Techniques
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Network Packet Processing and Optimization
- Interconnection Networks and Systems
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Wireless Networks and Protocols
- Mobile Agent-Based Network Management
- Mobile Ad Hoc Networks
- Cooperative Communication and Network Coding
- Data Stream Mining Techniques
- IPv6, Mobility, Handover, Networks, Security
- Software System Performance and Reliability
- Opportunistic and Delay-Tolerant Networks
- Topological and Geometric Data Analysis
- Spam and Phishing Detection
- Sexuality, Behavior, and Technology
- Graph theory and applications
Queen Mary University of London
2015-2024
Universidad de Londres
2019
Dalian University of Technology
2018
Boston University
2016
Institute of Computing Technology
2015
Chinese Academy of Sciences
2015
University of London
2013
Technische Universität Berlin
2009-2012
Deutsche Telekom (Germany)
2009-2012
Deutsche Telekom (United Kingdom)
2009-2012
The Internet has led to the creation of a digital society, where (almost) everything is connected and accessible from anywhere.However, despite their widespread adoption, traditional IP networks are complex very hard manage.It both difficult configure network according predefined policies, reconfigure it respond faults, load changes.To make matters even more difficult, current also vertically integrated: control data planes bundled together.Software-Defined Networking (SDN) an emerging...
This paper presents a new publicly available dataset from GÉANT, the European Research and Educational Network. consists of traffic matrices built using full IGP routing information, sampled Netflow data BGP information GÉANT network, one per 15 minutes interval for several months. Potential benefits comprise improving our understanding real matrices, their dynamics, to make possible benchmarking intradomain engineering methods
When network is undergoing problems such as congestion, scan attack, DDoS etc., measurements are much more important than usual. In this case, traffic characteristics including available bandwidth, packet rate, and flow size distribution vary drastically, significantly degrading the performance of measurements. To address issue, we propose Elastic sketch. It adaptive to currently characteristics. Besides, it generic measurement tasks platforms. We implement sketch on six platforms: P4, FPGA,...
The most widely used technique for IP geolocation consists in building a database to keep the mapping between blocks and geographic location. Several databases are available frequently by many services web sites Internet. Contrary widespread belief, far from being as reliable they claim. In this paper, we conduct comparison of several current -both commercial free- have an insight limitations their usability. First, vast majority entries refer only few popular countries (e.g., U.S.). This...
The largest IXPs carry on a daily basis traffic volumes in the petabyte range, similar to what some of global ISPs reportedly handle. This little-known fact is due few hundreds member ASes exchanging with one another over IXP's infrastructure. paper reports first-of-its-kind and in-depth analysis worldwide based nine months' worth sFlow records collected at that IXP 2011.
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes data. In this article, leading scientists, researchers engineers discuss the transformative effects ChatGPT modern education. This research seeks improve our knowledge capabilities its use in education sector, identifying potential concerns challenges. Our preliminary evaluation concludes that performed differently each subject area including finance, coding maths. While has...
Over the past six decades, computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as Internet and commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving adapting to cover multifaceted societal niches. This led new paradigms cloud, fog, edge computing, Things (IoT), which offer fresh economic creative opportunities....
Sentiment analysis (SA) is a subfield of artificial intelligence that entails natural language processing. This has become increasingly significant because it discerns the emotional tone reviews, categorising them as positive, neutral, or negative. In highly competitive coffee industry, understanding customer sentiment and perception paramount for businesses seeking to optimise their product offerings. Traditional methods market often fall short capturing nuanced views consumers,...
Traffic engineering is performed by means of a set techniques that can be used to better control the flow packets inside an IP network. We discuss utilization these across interdomain boundaries in global Internet. first analyze characteristics traffic on basis measurements from three different Internet service providers and show small number sources are responsible for large fraction traffic. Across boundaries, relies careful tuning route advertisements sent via border gateway protocol....
Today, the complexity of ISPs' networks make it difficult to investigate implications internal or external changes on distribution traffic across their network. In this article we explain building models large networks. We describe various aspects important understanding routing inside an AS. present open source solver, C-BGP, that eases investigation in topology illustrate how build a model ISP real transit network and apply two "what-if" scenarios. The first scenario studies impact chances...
Today a spectrum of solutions are available for istributing content over the Internet, ranging from commercial CDNs to ISP-operated content-provider-operated peer-to-peer CDNs. Some deploy servers in just few large data centers while others thousands locations or even on millions desktops. Recently, major have formed strategic alliances with ISPs provide delivery network solutions. Such show natural evolution today driven by need address scalability issues and take advantage new technology...
We study the algebraic connectivity in relation to graph's robustness node and link failures. Graph's is quantified with connectivity, two topological metrics that give number of nodes links have be removed order disconnect a graph. The i.e. second smallest eigenvalue Laplacian matrix, spectral property graph, which an important parameter analysis various robustness-related problems. In this paper we relationship between proposed three well-known complex network models: random graph...
The Domain Name System (DNS) is a fundamental building block of the Internet. Today, performance more and applications depend not only on responsiveness DNS, but also exact answer returned by queried DNS resolver, e.g., for Content Distribution Networks (CDN).In this paper, we compare local resolvers against GoogleDNS OpenDNS large set vantage points. Our end-host measurements inside 50 commercial ISPs reveal that two aspects have significant impact responsiveness: (1) latency to (2) content...
Internet traffic has Zipf-like properties at multiple aggregation levels. These suggest the possibility of offloading most from a complex controller (e.g., software router) to simple forwarder commodity switch), by letting handle very limited set flows; heavy hitters. As volume flows is highly dynamic, maintaining reliable hitters over time challenging. This especially true when we face limit in non-offloaded combination with constraint size hitter or its rate change. We propose selection...
Approximate stream processing algorithms, such as Count-Min sketch, Space-Saving, etc., support numerous applications in databases, storage systems, networking, and other domains. However, the unbalanced distribution real data streams poses great challenges to existing algorithms. To enhance these we propose a meta-framework, called Cold Filter (CF), that enables faster more accurate processing.
Content-Centric Networking (CCN) is a promising framework for evolving the current network architecture, advocating ubiquitous in-network caching to enhance content delivery. Consequently, in CCN, each router has storage space cache frequently requested content. In this work, we focus on allocation problem: namely, how distribute capacity across routers under constrained total budget network. We formulate problem as placement and obtain exact optimal solution by two-step method. Through...
Finding top-k elephant flows is a critical task in network traffic measurement, with many applications congestion control, anomaly detection and engineering. As the line rates keep increasing today's networks, designing accurate fast algorithms for online identification of becomes more challenging. The prior are seriously limited achieving accuracy under constraints heavy small on-chip memory use. We observe that basic strategies adopted by these either require significant space overhead to...
The importance of IXPs to interconnect different networks and exchange traffic locally has been well studied over the last few years. However, far less is known about role play as a platform enable large-scale content delivery reach world-wide customer base. In this paper, we study infrastructure deployment hypergiant, Netflix, show that combined worldwide IXP substrate major corner stone its Content Delivery Network. This highlights additional in Internet ecosystem, not just terms...
DNS is a vital component for almost every networked application. Originally it was designed as an unencrypted protocol, making user security concern. DNS-over-HTTPS (DoH) the latest proposal to make name resolution more secure.