Open Source Platforms
An open-source configurable virtual testbed (based on the Eucalyptus cloud platform) for Intrusion Detection Systems Evaluation.
Eying the success of P2P applications and given the fact that internet measurement systems are usually limited to a handful of nodes, this P2P system allows for large social sharing of measurement functionalities. Users can submit measurement tasks through pMeasure, which locates necessary resources on behalf of the user, accomplish the tasks and delivers the results upon the fulfillment of the measurement task.
The Realistic Mobility Model was created as a tool for researchers for fast generation of realistic mobility traces. Much emphasis was placed on making the tool easy to use and easy to understand. This website provides the information necessary for using this tool, as well as a downloads section that contains binaries and source code of the tool.
MIP is a set of Matlab m-files to process MPEG traces. It allows MPEG scene boundaries determination based on the GOP sizes. It also allows for dynamic bandwidth allocation according to the characteristics of the scene and a target loss ratio.
The Meta Policy Information Base implements the ideas of adding meta-policies to a policy-based network environment. Added functionality to the traditional approach is modeled with new classes that improve the performance of the former.
UCLP provides a software system that allows users (e.g. research institutions, government departments, hospitals) to own and control lightpaths (e.g. WDM wavelengths or SONET STS channels). The system allows users to partition their lightpaths and lease unused resources to others, as well as to concatenate lightpaths into high-bandwidth end-to-end communication pipes across multiple administrative domains. This enables rapid provisioning of network resources and increases the pool of available lightpaths beyond what can be offered by a carrier.
Cyberplanner is a software framework for network monitoring, resource provisioning and capacity planning. It collect and correlate business, customer and service level metrics, and provides a decision support system for multiple application such as traffic engineering, capacity planning, fault isolation, and network upgrades.
Refined Google cluster workload traces (collected in 2010) that can be used for analysis and experimental purposes. We have used them for our dynamic capacity provisioning paper published at the International Conference on Autonomic Computing (ICAC) 2012. Raw traces are available at (http://code.google.com/p/googleclusterdata/).