Flow length and size distributions in campus Internet traffic

Jurkiewicz, Piotr; Rzym, Grzegorz; Boryło, Piotr

doi:10.1016/j.comcom.2020.12.016

Cited by 35 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This behavior is expected since the number of detected applications in Table A2 is 84, more than the number applications detected in TCP streams, but the number of packets in UDP streams is lower than the number of packets in TCP streams. This result is in line with results obtained from the study in [ 26 ].…”

Section: Experimental Studysupporting

confidence: 93%

See 1 more Smart Citation

Application Layer Packet Processing Using PISA Switches

Bütün

Tuncel

Öztoprak

2021

Sensors

View full text Add to dashboard Cite

This paper investigates and proposes a solution for Protocol Independent Switch Architecture (PISA) to process application layer data, enabling the inspection of application content. PISA is a novel approach in networking where the switch does not run any embedded binary code but rather an interpreted code written in a domain-specific language. The main motivation behind this approach is that telecommunication operators do not want to be locked in by a vendor for any type of networking equipment, develop their own networking code in a hardware environment that is not governed by a single equipment manufacturer. This approach also eases the modeling of equipment in a simulation environment as all of the components of a hardware switch run the same compatible code in a software modeled switch. The novel techniques in this paper exploit the main functions of a programmable switch and combine the streaming data processor to create the desired effect from a telecommunication operator perspective to lower the costs and govern the network in a comprehensive manner. The results indicate that the proposed solution using PISA switches enables application visibility in an outstanding performance. This ability helps the operators to remove a fundamental gap between flexibility and scalability by making the best use of limited compute resources in application identification and the response to them. The experimental study indicates that, without any optimization, the proposed solution increases the performance of application identification systems 5.5 to 47.0 times. This study promises that DPI, NGFW (Next-Generation Firewall), and such application layer systems which have quite high costs per unit traffic volume and could not scale to a Tbps level, can be combined with PISA to overcome the cost and scalability issues.

show abstract

Section: Experimental Studysupporting

confidence: 93%

“…Applying some ML based approaches would increase the success rate as if all traffic is going through legacy systems with the higher power of proposed systems. In addition, real traffic scenarios indicate that the performance gain would reach up to a factor of 40 on average by using the statistics in this study [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Application Layer Packet Processing Using PISA Switches

Bütün

Tuncel

Öztoprak

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Crucially, however, packet payloads are completely ignored by most NFs. The waste of copying payloads into hostmem is compounded by the fact that payloads are typically an order of magnitude larger than headers: network traffic characteristics studies show that packet sizes in data centers, universities, and on the Internet follow a bimodal clustering pattern around small ≈ 200 B and large ≈ 1400 B packets [5,16,42,60,108].…”

Section: Nfv Acceleration (Nmnfv)mentioning

confidence: 99%

The benefits of general-purpose on-NIC memory

Pismenny

Liss

Morrison

et al. 2022

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

View full text Add to dashboard Cite

We propose to use the small, newly available on-NIC memory ("nicmemž) to keep pace with the rapidly increasing performance of NICs. We motivate our proposal by accelerating two types of workload classes: NFV and key-value stores. As NFV workloads frequently operate on headersÐrather than dataÐof incoming packets, we introduce a new packet-processing architecture that splits between the two, keeping the data on nicmem when possible and thus reducing PCIe traffic, memory bandwidth, and CPU processing time. Our approach consequently shortens NFV latency by up to 23% and increases its throughput by up to 19%. Similarly, because key-value stores commonly exhibit skewed distributions, we introduce a new network stack mechanism that lets applications keep frequently accessed items on nicmem. Our design shortens memcached latency by up to 43% and increases its throughput by up to 80%.

show abstract

“…For example, Amsterdam Internet Exchange [10] shares data from Amsterdam. There is also available information regarding traffic in different locations such as University Campus of AGH University of Science and Technology (Krakow, Poland) [11] or Wroclaw Center for Networking and Supercomputing (Wroclaw, Poland) [12]. The mentioned datasets provide tremendous amount of historical data that can be used for research especially concerning traffic prediction.…”

Section: Related Workmentioning

confidence: 99%

“…The DC to DC traffic between two DC nodes i and j is given by the formula (11). In order to express necessity of frequent inter-DCs synchronisation and based on our preliminary experiments, we assume a dcdc (i, j) = 0.5, ω dcdc (i, j) = 2 • max i,j∈V ;i =j ω cc (i, j) and φ dcdc (i, j) = 0.…”

Section: DC To Dc Trafficmentioning

confidence: 99%

Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks

Goścień

2021

Preprint

View full text Add to dashboard Cite

In this paper, we study problem of efficient service relocation (i.e., changing assigned data center for a selected client node) in elastic optical networks (EON) in order to increase network performance (measured by the volume of accepted traffic).To this end, we first propose novel traffic model for cloud ready transport networks. The model takes into account four flow types (i.e., city-to-city, city-to-data center, data center-to-data center and data center-to-data center) while the flow characteristics are based on real economical and geographical parameters of the cities related to network nodes. Then, we propose dedicated flow allocation algorithm that can be supported by the service relocation process. We also introduce 21 different relocation policies, which use three types of data for decision makingnetwork topological characteristics, rejection history and traffic prediction. Eventually, we perform extensive numerical experiments in order to: (i) tune proposed optimization approaches and (ii) evaluate and compare their efficiency and select the best one. The results of the investigation prove high efficiency of the proposed policies. The propoerly designed relocation policy allowed to allocate up to 3% more traffic (compared to the allocation without that policy). The results also reveal that the most efficient relocation policy bases its decisions on two types of data simultaneously -the rejection history and traffic prediction.

show abstract

Flow length and size distributions in campus Internet traffic

Cited by 35 publications

References 25 publications

Application Layer Packet Processing Using PISA Switches

Application Layer Packet Processing Using PISA Switches

The benefits of general-purpose on-NIC memory

Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks

Contact Info

Product

Resources

About