Server Congestion Control And Reduction of Server Power Consumption With DPI Technology

Abstract

Deep packet inspection (DPI) technology has conventionally been introduced for traffic monitoring, bandwidth control, access control of specific types of traffic, etc. As a new potential application of DPI technology, this paper proposes three promising approaches of network and server control with DPI technology, and presents implementation examples of two approaches. These approaches could simplify dramatically the conventional work load for system management and reduction of p ower consumption by servers and accelerate the control action.

DPI-Based Congestion Control Method for Servers and Network Lines

“…In this example, one virtual machine, VM2, is dynamically selected and moved to one selected server, server #m. The proposed server congestion control algorithm is described below. This is an extension of the algorithm proposed in References [4] and [5].…”

“…As described in Reference [5], Reference [6] has proposed a network management system with DPI server which supports the network management system to classify the network traffic. For example, if the DPI equipment finds that the user id of the VoIP session is in the black list, the DPI equipment informs the NMS about this SIP session.…”

“…Considering these advantages of using DPI, the authors previously proposed a congestion control method that works as follows [4], [5]. The CPU usage rate of each server is estimated by installing, in a network, a DPI device which constantly monitors the number of simultaneous TCP connections to each server.…”

“…Since the main aim of References [4] and [5] was to confirm the effectiveness of using DPI technology, it assumed restrictive control conditions. For example, the server to which virtual machines are moved was fixed and it was assumed that computing power congestion and bandwidth congestion do not occur simultaneously in a server.…”

“…For example, the server to which virtual machines are moved was fixed and it was assumed that computing power congestion and bandwidth congestion do not occur simultaneously in a server. This paper generalizes the evaluation conditions and proposes to enhance the existing DPI-based congestion control proposed in References [4] and [5], in order to dynamically select an optimal solution for cases where there are multiple candidates available for virtual machines, physical servers, communication flows and alternate routes. The paper also considers server congestion for cases where computing power congestion and bandwidth congestion occur simultaneously in a server, and line congestion for cases where the maximum allowable network delay is defined for each communication flow.…”