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Intern
Lehrstuhl für Informatik III

Internet Cloud Architectures

In the area of Internet cloud architectures, we work on national and international projects with different focus. In the following, projects are listed and results are presented.

INPUT project now is in final review

QoE Monitoring with VNFs (Virtual Network Functions) in the Cloud

Best Demonstration Award IM 2017

Current Projects

INPUT (In-Network Programmability for Next-Generation Personal Cloud Service Support, funded by European Commission H2020)

The goal of INPUT is to design a novel edge cloud supported infrastructure for personal cloud services. Within this project, our focus is mainly on monitoring, orchestration, and consolidation algorithms for optimized configuration of network/cloud infrastructure and allocation of virtualized cloud services with respect to energy consumption and Quality of Experience.

After a successful first review in October 2016, we are now right before the final review. The project has fully achieved its objectives and milestones as described in the kick-off meeting in 2015. The project insights can be found at 

http://www.input-project.eu

Several demonstration activities are available at

www.input-project.eu/index.php/outcomes/demonstration

and objective vs. outcome of the project is available at

www.input-project.eu/index.php/outcomes/outcome-vs-objectives

DFG QoE-DZ (Analysis and Optimization of the Trade-off between QoE and Energy-Efficiency in Data Centers)

This project focuses on quantifying and adjusting the trade-off between QoE and energy-efficiency in data centers for highly relevant use cases. An interesting use case for the interconnection between data centers, QoE, and energy-efficiency that is considered to have an increasing impact in the following years, are Virtual Desktop Infrastructures (VDIs). A VDI enables users to use very lightweight systems, e.g., so-called thin clients, whereby the actual operating system including all computations and software runs in a data center.

Related Research Areas

Research Area: QoE Monitoring in the Cloud

The rapid growth of video streaming offers video providers with a great opportunity to increase their revenues, but also presents challenges for the network providers. Network providers are typically not aware of the actual quality experienced by users of video streaming services. As a result, it is difficult for providers to adapt in the network when the QoE is low due to network impairments. To solve this problem, a monitoring mechanism in the network is needed to estimate the QoE perceived by the users.

Publications

Project: EU H2020 INPUT

  • Iffländer, L., Wamser, F., Metter, C., Tran-Gia, P., Kounev, S.: Performance Assessment of Cloud Migrations from Network and Application Point of View. Proceedings of 9th EAI International Conference on Mobile Networks and Management (MONAMI 2017). , Melbourne, Australia (2017).
     
  • Loh, F., Burger, V., Wamser, F., Tran-Gia, P., Schembra, G., Rametta, C.: Performance Evaluation of Video Streaming Service Chains in Softwarized 5G Networks with Task Graph Reduction. 29th International Teletraffic Congress (ITC) (2017).
     
  • Wamser, F., Höfner, S., Seufert, M., Tran-Gia, P.: Server and Content Selection for MPEG DASH Video Streaming with Client Information. ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE). , Los Angeles, CA, USA (2017).
     
  • Seufert, M., Kamneng Kwam, B., Wamser, F., Tran-Gia, P.: EdgeNetworkCloudSim: Placement of Service Chains in Edge Clouds Using NetworkCloudSim. 1st IEEE International Workshop on Network Programmability - From the Data Center to the Ground (NetFoG). , Bologna, Italy (2017).
     
  • Seufert, M., Zach, O., Slanina, M., Tran-Gia, P.: Unperturbed Video Streaming QoE Under Web Page Related Context Factors. 9th International Conference on Quality of Multimedia Experience (QoMEX). , Erfurt, Germany (2017).
     
  • Seufert, M., Wehner, N., Wamser, F., Casas, P., D'Alconzo, A., Tran-Gia, P.: Unsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp. 9th International Conference on Quality of Multimedia Experience (QoMEX). , Erfurt, Germany (2017).
     
  • Wamser, F., Loh, F., Bruschi, R., Lago, P., Seufert, M., Tran-Gia, P.: Dynamic Cloud Service Placement for Live Video Streaming with a Remote-Controlled Drone, (2017).
     
  • Dinh-Xuan, L., Seufert, M., Wamser, F., Tran-Gia, P.: Study on the Accuracy of QoE Monitoring for HTTP Adaptive Video Streaming Using VNF. 1st IFIP/IEEE International Workshop on Quality of Experience Management (QoE-Management). , Lisbon, Portugal (2017).
     
  • Dinh-Xuan, L., Seufert, M., Wamser, F., Tran-Gia, P.: QoE Aware Placement of Content in Edge Networks on the Example of a Photo Album Cloud Service. IEEE 6th International Conference on Communications and Electronics (ICCE). , Ha Long, Vietnam (2016).
     
  • Wamser, F., Casas, P., Seufert, M., Moldovan, C., Tran-Gia, P., Hoßfeld, T.: Modeling the YouTube Stack: from Packets to Quality of Experience. Computer Networks. 109, 211-224 (2016).
     
  • Wamser, F., Seufert, M., Höfner, S., Tran-Gia, P.: Concept for Client-initiated Selection of Cloud Instances for Improving QoE of Distributed Cloud Services. ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE). , Florianópolis, Brazil (2016).
     
  • Seufert, M., Casas, P., Wamser, F., Wehner, N., Schatz, R., Tran-Gia, P.: Application-Layer Monitoring of QoE Parameters for Mobile YouTube Video Streaming in the Field. IEEE 6th International Conference on Communications and Electronics (ICCE). , Ha Long, Vietnam (2016).
     
  • Burger, V., Frances Pajo, J., Sanchez, O.R., Seufert, M., Schwartz, C., Wamser, F., Davoli, F., Tran-Gia, P.: Load Dynamics of a Multiplayer Online Battle Area and Simulative Assessment of Edge Server Placements. ACM Multimedia Systems Conference (MMSys). , Klagenfurt, Austria (2016).
     
  • Burger, V., Darzanos, G., Papafili, I., Seufert, M.: Trade-Off between QoE and Operational Cost in Edge Resource Supported Video Streaming. 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). , Krakow, Poland (2015).
     
  • Seufert, M., Burger, V., Wamser, F., Tran-Gia, P., Moldovan, C., Hoßfeld, T.: Utilizing Home Router Caches to Augment CDNs towards Information-Centric Networking. European Conference on Networks and Communications (EuCNC). , Paris, France (2015).
     

Project: DFG QoE-DZ

  • Höfner, S.: Evaluation of Orchestration and Access Principles for Cloud Applications, (2016).
     
  • Burger, V., Zinner, T.: Performance Analysis of Hierarchical Caching Systems with Bandwidth Constraints. Proceedings of the International Telecommunication Networks and Applications Conference. , Dunedin, New Zealand (2016).
     
  • Wamser, F., Casas, P., Seufert, M., Moldovan, C., Tran-Gia, P., Hoßfeld, T.: Modeling the YouTube Stack: from Packets to Quality of Experience. Computer Networks. 109, 211-224 (2016).
     
  • Wamser, F., Seufert, M., Höfner, S., Tran-Gia, P.: Concept for Client-initiated Selection of Cloud Instances for Improving QoE of Distributed Cloud Services. ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE). , Florianópolis, Brazil (2016).
     
  • Dinh-Xuan, L., Schwartz, C., Hirth, M., Wamser, F., Truong Thu, H.: Analyzing the Impact of Delay and Packet Loss on Google Docs. 7th International Conference on Mobile Networks and Management. , Santander, Spain (2015).
     
  • Zinner, T., Lemmerich, F., Schwarzmann, S., Hirth, M., Karg, P., Hotho, A.: Text Categorization for Deriving the Application Quality in Enterprises using Ticketing Systems. 17th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2015). , Valencia, Spain (2015).
     
  • Schwarzmann, S., Zinner, T., Hirth, M.: Deriving the Employee-perceived Application Quality in Enterprise IT Infrastructures using Information from Ticketing Systems. Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2014). , Aachen, Germany (2014).
     
  • Metzger, F., Schwartz, C., Hoßfeld, T.: GTP-based Load Model and Virtualization Gain for a Mobile Network's GGSN. 5th International Conference on Communications and Electronics. , Da Nang, Vietnam (2014).
     
  • Schwartz, C., Hirth, M., Hoßfeld, T., Tran-Gia, P.: Performance Model for Waiting Times in Cloud File Synchronization Services. 26th International Teletraffic Congress (ITC). , Karlskrona, Sweden (2014).
     
  • Amrehn, P., Vandenbroucke, K., Hoßfeld, T., de Moor, K., Hirth, M., Schatz, R., Casas, P.: Need for Speed? On Quality of Experience for File Storage Services. 4th International Workshop on Perceptual Quality of Systems (PQS 2013). , Vienna, Austria (2013).
     

Student works and theses

Master's theses:

  • Kamneng Kwam, B.: Performance Evaluation of Placement Algorithms for Service Chains, (2017).
     
  • Loh, F.: Performance Evaluation of Service Chains in Cloud Networks Using Discrete-Time Analysis, (2017).
     
  • Supervisor: Dinh-Xuan, L.: Developing NFVs for QoE Monitoring, (2017).
     
  • Meixner, M.: Methods for Assessment of Multi-objective Optimization Algorithms with Application in the Context of SDN, (2017).
     
  • Höfner, S.: Evaluation of Orchestration and Access Principles for Cloud Applications, (2016).
     
  • Sanchez, O.R.: Modeling User Activity and Network Demands in Online Gaming of Dota 2, (2015).
     
  • Iffländer, L.: Performance Assessement of Service Migration Strategies, (2015).
     
  • Frances Pajo, J.: Simulation Framework for Live Migration of Online Games towards the Edge, (2015).
     

Bachelor's theses:

  • Shweiki, R.: Determination of Traffic Patterns by a Remote Controllable Drone, (2017).
     
  • Supervisor: Dinh-Xuan, L.: Implementing (QoE) monitoring services at Amazon AWS Cloud Service, (2017).
     
  • Popp, C.: Study on the Accuracy of Video Monitoring VNF in High Mobility Environments, (2017).
     
  • Sasu, B.: Investigation of Analytical Modeling Approaches for Edge Computing, (2016).
     
  • Zeidler, B.: Comparison of Machine Learning Approaches for YouTube Video Adaptation Estimation on Encrypted Traffic, (2016).
     

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