Time-sensitive network experiments are difficult. There are major challenges in generating realistic traffic with highly accurate packet arrivals, and monitoring various system performance metrics which require high precision in timing is not trivial. Parts of these problems arise from the fact that generic network software and hardware components do not provide high-precision timing guarantees...

This paper presents a practical approach to rapidly introducing new dataplane functionality into networks: End-hosts embed tiny programs into packets to actively query and manipulate a network’s internal state. We show how this “tiny packet program” (TPP) interface gives end-hosts unprecedented visibility into network behavior, enabling them to work with the network to achieve a desired functio...

Currently, there are many ways to save energy for the switch such as change the operating modes to low power modes: SLEEP PORT and SLEEP SWITCH when there is no traffic flowing through the Ethernet ports. The switch will be waked up to normal modes when traffic flows pass through it. However, the changes of the modes of the OpenFlow Switch will create DELAY-TIME. If we know DELAY-TIME, then we ...

Most network management tasks in software-defined networks (SDN) involve two stages: measurement and control. While many efforts have been focused on network control APIs for SDN, little attention goes into measurement. The key challenge of designing a new measurement API is to strike a careful balance between generality (supporting a wide variety of measurement tasks) and efficiency (enabling ...

In the last decade we have witnessed a rapid growth in data center systems, requiring new and highly complex networking devices. The need to refresh networking infrastructure whenever new protocols or functions are introduced, and the increasing costs that this entails, are of a concern to all data center providers. New generations of Systems on Chip (SoC), integrating microprocessors and highe...

Data centers play an important role in our daily activities. The increasing demand on data centers in both scale and size has led to huge energy consumption that rises the cost of data centers. Besides, environmental impacts also increase considerably due to a large amount of carbon emissions. In this paper, we present a design aimed at green networking by reducing the power consumption for rou...

Studies of Internet traffic have revealed that traffic is consistent with self-similar scaling, shows long-range dependence, and that flow sizes are consistent with heavytailed distributions. However, how such characteristics affect fundamental network properties such as buffer overflows and therefore the loss process and link utilization has not been explored in detail. Relying on advanced ins...

The increase in energy cost and the need to reduce the global greenhouse gas emission to protect our environment have stimulated the investigation of new innovative techniques for the energy consumption reduction in telecommunication networks. Some studies show that ICT is today responsible for a fraction of the world energy consumption of about 4%, and this percentage is expected to double in ...

The empirical entropy of the network flow attributes is an essential measure for identifying anomalous traffic. However, computing exact values high-speed networks in real-time computationally expensive. Accordingly, present study replaces complex computations existing stable random projection methods estimation with a simple table lookup procedure. Notably, size reduced through piece-wise line...