It is our great pleasure to welcome you to the first edition of HPPN, the 2013 High Performance and Programmable Networking Workshop co-located with the 22nd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC 2013). The mission of the workshop is to share novel high performance networking tools and techniques that fulfill the needs of novel scenarios and applications and identify new directions for future research and development. HPPN gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of high performance and programmable networking. This workshop was created to highlight and provide an international forum for presenting and discussing the latest experiences and achievements in the field of programmable and high performance networking platforms. We believe that this workshop is an opportunity for researchers engaged in high performance and programmable networking to discuss state-of-theart, share their research results with their peers, and develop directions for future research in this field. The main idea of the workshop is to share experiences and state-of-the-art advances related to using and researching with platforms like NetFPGA, GPUs, and other programmable hardware for computer networks. Due the growing speed and complexity of networking services and infrastructures, there is an increasing interest in the networking research community to create faster and smarter network devices and operations for experimental purposes and for developing open network infrastructures. The workshop program presented to you consists of a set of high quality technical papers. We hope that you will find the presentations useful to your research and lead to further innovations in this field.
The workshop has a single track program comprising 2 sessions. The program committee accepted 8 papers covering a variety of topics, all in the context of high performance networking topics - from traffic classification on GPUs to traffic generation in FPGA to experimental approaches in open platforms and Software-Defined Networking scenarios. We hope that these proceedings will serve as a valuable reference for security researchers and developers.
Proceeding Downloads
Design and test of a software defined hybrid network architecture
Circuit and packet switching convergence offers significant advantages in core networks to exploit their complementary characteristics in terms of flexibility, scalability and quality of service. This paper considers the possibility of unifying the two ...
Optimal packet classification applicable tothe OpenFlow context
Packet Classification remains a hot research topic, as it is a fundamental function in telecommunication networks, which are now facing new challenges. Due to the emergence of new standards such as OpenFlow, packet classification algorithms have to be ...
Implementation of TCP large receive offload on open hardware platform
Nowadays, the bottleneck in network communications is not represented by the link capacity anymore, but by the receiver processing power. To face this problem, more and more offloading techniques have been developed and implemented in modern NICs, ...
Flexible, extensible, open-source and affordable FPGA-based traffic generator
- Tristan Groléat,
- Matthieu Arzel,
- Sandrine Vaton,
- Alban Bourge,
- Yannick Le Balch,
- Hicham Bougdal,
- Manuel Aranaz Padron
As high-speed links become ubiquitous in current networks, testing new algorithms at high speed is essential for researchers. This task often makes it necessary to generate traffic with some specified features : distribution of packet sizes, payload ...
From 1G to 10G: code reuse in action
Ever increasing traffic quantities and link-bandwidths force network devices to meet ever-increasing demands; the march to 100G is well under way. The high-speed networking of today is no longer that of five years ago: Unfortunately, such growth ...
Multi-gigabit traffic identification on GPU
- Alysson Feitoza Santos,
- Stenio Flavio de Lacerda Fernandes,
- Petrônio Gomes Lopes Júnior,
- Djamel Fawzi Hadj Sadok,
- Geza Szabo
Traffic Identification is a crucial task performed by ISP administrators to evaluate and improve network service quality. Deep Packet Inspection (DPI) is a well-known technique used to identify networked traffic. DPI relies mostly on Regular Expressions ...
Evaluating MapReduce for profiling application traffic
The use of MapReduce for distributed data processing has been growing and achieving benefits with its application for different workloads. MapReduce can be used for distributed traffic analysis, although network traces present characteristics which are ...
A supervised machine learning approach to classify host roles on line using sFlow
Classifying host roles based on network traffic behavior is valuable for network security analysis and detecting security policy violation. Behavior-based network security analysis has advantages over traditional approaches such as code patterns or ...
Index Terms
- Proceedings of the first edition workshop on High performance and programmable networking