Optimizing Thin-client Traffic over the WAN Optimizing Thin-Client Traffic Over the WAN

Optimizing Thin-client Traffic over the WAN

A transport-layer approach for improving thin-client performance in a WAN environment

The performance of thin-client systems based on TCP depends on network quality, so it becomes worse in a WAN environment; however, the effects of TCP mechanisms have not been clarified. In this paper, we first describe the download traffic of thin-client systems as a two-state model with interactive data flows in response to keystrokes and bulk data flows related to screen updates. Since users ...

Source Traffic Characterization for Thin Client Based Office Applications

A thin client is a small network computer which is used as a remote screen visualizing the output of software applications running on a central server. To provide a seamless service to thin client users the network connection between the client and the server must be dimensioned properly. In this paper we therefore characterize the traffic generated by different types of thin client users when ...

User Behavior Detection Based on Statistical Traffic Analysis for Thin Client Services

Remote desktop connection (RDC) services offer clients access to remote content and services, commonly used to access their working environment. With the advent of cloud-based services, an example use case is that of delivering virtual PCs to users in WAN environments. In this paper, we aim to analyze common user behavior when accessing RDC services. We first identify different behavioral categ...

An Adaptation Architecture to Improve User- Perceived QoS of Multimedia Services for Enterprise Remote Desktop Protocols

Limitations in the contemporary best effort WAN combined with an increase in demand of the business users for multimedia are the main challenges for remote desktop solutions. Thin client remote desktop protocols are mature enough to work efficiently over low bandwidth and low quality links for normal office applications. However, they face significant challenges when working with more demanding...