2016

• Agüero, R., Zinner, T., García-Lozano, M., Wenning, B.-L., Timm-Giel, A.: Mobile Networks and Management. Springer, Santander, Spain (2016).
  [ BibTeX ] [ EndNote ]
   
  @book{info3-book-2016-1, address = {Santander, Spain}, author = {Agüero, Ramón and Zinner, Thomas and García-Lozano, Mario and Wenning, Bernd-Ludwig and Timm-Giel, Andreas}, booktitle = {6th International Conference (MONAMI 2014), September 22-26, 2014, Revised Selected Papers}, publisher = {Springer}, title = {Mobile Networks and Management}, year = 2016 }
  %0 Book %1 info3-book-2016-1 %A Agüero, Ramón %A Zinner, Thomas %A García-Lozano, Mario %A Wenning, Bernd-Ludwig %A Timm-Giel, Andreas %B 6th International Conference (MONAMI 2014), September 22-26, 2014, Revised Selected Papers %C Santander, Spain %D 2016 %I Springer %T Mobile Networks and Management

2013

• Schatz, R., Hoßfeld, T.: Proceedings of The Fourth Workshop on Perceptual Quality of Systems (PQS 2013). FTW-TECHREPORT-128, FTW, Vienna, Austria (2013).
  [ BibTeX ] [ EndNote ]
   
  @book{info3-book-2013-15, address = {FTW, Vienna, Austria}, author = {Schatz, Raimund and Hoßfeld, Tobias}, month = 10, publisher = {FTW-TECHREPORT-128}, title = {Proceedings of The Fourth Workshop on Perceptual Quality of Systems (PQS 2013)}, year = 2013 }
  %0 Book %1 info3-book-2013-15 %A Schatz, Raimund %A Hoßfeld, Tobias %C FTW, Vienna, Austria %D 2013 %I FTW-TECHREPORT-128 %T Proceedings of The Fourth Workshop on Perceptual Quality of Systems (PQS 2013)
• Hausheer, D., Hoßfeld, T.: Proceedings of the Social-aware Economic Traffic Management for Overlay and Cloud Applications Workshop (SETM 2013). 9th International Conference on Network and Service Management (CNSM 2013), Zürich, Switzerland (2013).
  [ BibTeX ] [ EndNote ]
   
  @book{info3-book-2013-14, address = {Zürich, Switzerland}, author = {Hausheer, David and Hoßfeld, Tobias}, month = 10, publisher = {9th International Conference on Network and Service Management (CNSM 2013)}, title = {Proceedings of the Social-aware Economic Traffic Management for Overlay and Cloud Applications Workshop (SETM 2013)}, year = 2013 }
  %0 Book %1 info3-book-2013-14 %A Hausheer, David %A Hoßfeld, Tobias %C Zürich, Switzerland %D 2013 %I 9th International Conference on Network and Service Management (CNSM 2013) %T Proceedings of the Social-aware Economic Traffic Management for Overlay and Cloud Applications Workshop (SETM 2013)

2016

• Zinner, T., Wamser, F., Leopold, H., Dobre, C., Mavromoustakis, C.X., Garcia, N.M.: Matching Requirements for Ambient Assisted Living and Enhanced Living Environments with Networking Technologies. In: Dobre, C., Mavromoustakis, C.X., Garcia, N.M., Goleva, R.I., and Mastorakis, G. (eds.) Ambient Assisted Living and Enhanced Living Environments. Elsevier (2016).
  [ BibTeX ] [ EndNote ]
   
  @incollection{info3-incollection-2016-1, author = {Zinner, Thomas and Wamser, Florian and Leopold, Helmut and Dobre, Ciprian and Mavromoustakis, Constandinos X. and Garcia, Nuno M.}, booktitle = {Ambient Assisted Living and Enhanced Living Environments}, editor = {Dobre, Ciprian and Mavromoustakis, Constandinos X. and Garcia, Nuno M. and Goleva, Rossitza I. and Mastorakis, George}, month = 11, publisher = {Elsevier}, title = {Matching Requirements for Ambient Assisted Living and Enhanced Living Environments with Networking Technologies}, year = 2016 }
  %0 Book Section %1 info3-incollection-2016-1 %A Zinner, Thomas %A Wamser, Florian %A Leopold, Helmut %A Dobre, Ciprian %A Mavromoustakis, Constandinos X. %A Garcia, Nuno M. %B Ambient Assisted Living and Enhanced Living Environments %D 2016 %E Dobre, Ciprian %E Mavromoustakis, Constandinos X. %E Garcia, Nuno M. %E Goleva, Rossitza I. %E Mastorakis, George %I Elsevier %T Matching Requirements for Ambient Assisted Living and Enhanced Living Environments with Networking Technologies

2014

• Seufert, M., Darzanos, G., Papafili, I., Łapacz, R., Burger, V., Hoßfeld, T.: Socially-Aware Traffic Management. In: Zweig, K., Neuser, W., Pipek, V., Rohde, M., and Scholtes, I. (eds.) Socioinformatics - The Social Impact of Interactions between Humans and IT. Springer International Publishing (2014).
  [ Abstract ] [ BibTeX ] [ EndNote ]
   
  Socially-aware traffic management utilizes social information to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. We present existing use cases and their socially-aware approaches and solutions, but also raise discussions on additional benefits from the integration of social information into traffic management as well as practical aspects in this domain.
  @incollection{info3-incollection-2014-25, abstract = {Socially-aware traffic management utilizes social information to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. We present existing use cases and their socially-aware approaches and solutions, but also raise discussions on additional benefits from the integration of social information into traffic management as well as practical aspects in this domain.}, author = {Seufert, Michael and Darzanos, George and Papafili, Ioanna and Łapacz, Roman and Burger, Valentin and Hoßfeld, Tobias}, booktitle = {Socioinformatics - The Social Impact of Interactions between Humans and IT}, editor = {Zweig, Katharina and Neuser, Wolfgang and Pipek, Volkmar and Rohde, Markus and Scholtes, Ingo}, month = 8, publisher = {Springer International Publishing}, title = {Socially-Aware Traffic Management}, year = 2014 }
  %0 Book Section %1 info3-incollection-2014-25 %A Seufert, Michael %A Darzanos, George %A Papafili, Ioanna %A Łapacz, Roman %A Burger, Valentin %A Hoßfeld, Tobias %B Socioinformatics - The Social Impact of Interactions between Humans and IT %D 2014 %E Zweig, Katharina %E Neuser, Wolfgang %E Pipek, Volkmar %E Rohde, Markus %E Scholtes, Ingo %I Springer International Publishing %T Socially-Aware Traffic Management %X Socially-aware traffic management utilizes social information to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. We present existing use cases and their socially-aware approaches and solutions, but also raise discussions on additional benefits from the integration of social information into traffic management as well as practical aspects in this domain.
• Burger, V., Hock, D., Scholtes, I., Hoßfeld, T., Garcia, D., Seufert, M.: Social Network Analysis in the Enterprise: Challenges and Opportunities. In: Zweig, K., Neuser, W., Pipek, V., Rohde, M., and Scholtes, I. (eds.) Socioinformatics - The Social Impact of Interactions between Humans and IT. Springer International Publishing (2014).
  [ Abstract ] [ BibTeX ] [ EndNote ]
   
  Enterprise social software tools are increasingly being used to support the communication and collaboration between employees, as well as to facilitate the collaborative organisation of information and knowledge within companies. Not only do these tools help to develop and maintain an efficient social organisation, they also produce massive amounts of fine-grained data on collaborations, communication and other forms of social relationships within an enterprise. In this chapter, we argue that the availability of these data provides unique opportunities to monitor and analyse social structures and their impact on the success and performance of individuals, teams, communities and organisations. We further review methods from the planning, design and optimisation of telecommunication networks and discuss challenges arising when wanting to apply them to optimise the structure of enterprise social networks.
  @incollection{info3-incollection-2014-24, abstract = {Enterprise social software tools are increasingly being used to support the communication and collaboration between employees, as well as to facilitate the collaborative organisation of information and knowledge within companies. Not only do these tools help to develop and maintain an efficient social organisation, they also produce massive amounts of fine-grained data on collaborations, communication and other forms of social relationships within an enterprise. In this chapter, we argue that the availability of these data provides unique opportunities to monitor and analyse social structures and their impact on the success and performance of individuals, teams, communities and organisations. We further review methods from the planning, design and optimisation of telecommunication networks and discuss challenges arising when wanting to apply them to optimise the structure of enterprise social networks.}, author = {Burger, Valentin and Hock, David and Scholtes, Ingo and Hoßfeld, Tobias and Garcia, David and Seufert, Michael}, booktitle = {Socioinformatics - The Social Impact of Interactions between Humans and IT}, editor = {Zweig, Katharina and Neuser, Wolfgang and Pipek, Volkmar and Rohde, Markus and Scholtes, Ingo}, month = 8, publisher = {Springer International Publishing}, title = {Social Network Analysis in the Enterprise: Challenges and Opportunities}, year = 2014 }
  %0 Book Section %1 info3-incollection-2014-24 %A Burger, Valentin %A Hock, David %A Scholtes, Ingo %A Hoßfeld, Tobias %A Garcia, David %A Seufert, Michael %B Socioinformatics - The Social Impact of Interactions between Humans and IT %D 2014 %E Zweig, Katharina %E Neuser, Wolfgang %E Pipek, Volkmar %E Rohde, Markus %E Scholtes, Ingo %I Springer International Publishing %T Social Network Analysis in the Enterprise: Challenges and Opportunities %X Enterprise social software tools are increasingly being used to support the communication and collaboration between employees, as well as to facilitate the collaborative organisation of information and knowledge within companies. Not only do these tools help to develop and maintain an efficient social organisation, they also produce massive amounts of fine-grained data on collaborations, communication and other forms of social relationships within an enterprise. In this chapter, we argue that the availability of these data provides unique opportunities to monitor and analyse social structures and their impact on the success and performance of individuals, teams, communities and organisations. We further review methods from the planning, design and optimisation of telecommunication networks and discuss challenges arising when wanting to apply them to optimise the structure of enterprise social networks.

2017

• Hoffmann, M., Jarschel, M., Pries, R., Schneider, P., Jukan, A., Bziuk, W., Gebert, S., Zinner, T., Tran-Gia, P.: SDN and NFV as Enabler for the Distributed Network Cloud. Mobile Networks and Applications. (2017).
  [ BibTeX ] [ EndNote ]
   
  @article{info3-article-2017-8, author = {Hoffmann, Marco and Jarschel, Michael and Pries, Rastin and Schneider, Peter and Jukan, Admela and Bziuk, Wolfgang and Gebert, Steffen and Zinner, Thomas and Tran-Gia, Phuoc}, journal = {Mobile Networks and Applications}, title = {SDN and NFV as Enabler for the Distributed Network Cloud}, year = 2017 }
  %0 Journal Article %1 info3-article-2017-8 %A Hoffmann, Marco %A Jarschel, Michael %A Pries, Rastin %A Schneider, Peter %A Jukan, Admela %A Bziuk, Wolfgang %A Gebert, Steffen %A Zinner, Thomas %A Tran-Gia, Phuoc %D 2017 %J Mobile Networks and Applications %T SDN and NFV as Enabler for the Distributed Network Cloud
• Dinh-Xuan, L., Popp, C., Burger, V., Wamser, F.: Study on VNF-based QoE Monitoring in the Cloud. Special Issue of Scalable Computing and Communications Journal on Software-Defined Networking and Network Function Virtualization. (2017).
  [ Abstract ] [ BibTeX ] [ EndNote ] [ Download ]
   
  The fast growth of video streaming is responsible for a huge amount of traffic over the past few years. Due to the variety and popularity of video content on the Internet, a potential market is emerging for video providers, but also poses challenges for network operators in order to meet users' expectations. To address this problem, network operators need a mechanism to monitor the video quality and Quality of Experience (QoE) as perceived by the users. This allows reacting on quality degradations to improve the service in the network. With the paradigm of Network Function Virtualization, network operators are able to deploy such a Virtual Network Function (VNF) for video monitoring in the cloud. In this work, we investigate the feasibility of deploying a VNF for video buffer monitoring in the Amazon Web Service (AWS) cloud. To this end, we implement the VNF to analyze video flows in the network by using deep packet inspection. We investigate the influence of different points of presence (PoP) and a high mobility environment on the accuracy of the VNF for monitoring the video buffer and QoE perceived by the users. Our findings show that the accuracy of the VNF for video buffer monitoring decreases with the distance of the PoP to the client. This is not only due to the delay and bottleneck between the monitoring point and the client, but also due to the high mobility client access network. This means with increasing distance of the PoP to the client in a mobility environment, the probability of detecting stalling events also decreases, which is key factor to evaluate the QoE for video streaming.
  @article{info3-article-2017-7, abstract = {The fast growth of video streaming is responsible for a huge amount of traffic over the past few years. Due to the variety and popularity of video content on the Internet, a potential market is emerging for video providers, but also poses challenges for network operators in order to meet users' expectations. To address this problem, network operators need a mechanism to monitor the video quality and Quality of Experience (QoE) as perceived by the users. This allows reacting on quality degradations to improve the service in the network. With the paradigm of Network Function Virtualization, network operators are able to deploy such a Virtual Network Function (VNF) for video monitoring in the cloud. In this work, we investigate the feasibility of deploying a VNF for video buffer monitoring in the Amazon Web Service (AWS) cloud. To this end, we implement the VNF to analyze video flows in the network by using deep packet inspection. We investigate the influence of different points of presence (PoP) and a high mobility environment on the accuracy of the VNF for monitoring the video buffer and QoE perceived by the users. Our findings show that the accuracy of the VNF for video buffer monitoring decreases with the distance of the PoP to the client. This is not only due to the delay and bottleneck between the monitoring point and the client, but also due to the high mobility client access network. This means with increasing distance of the PoP to the client in a mobility environment, the probability of detecting stalling events also decreases, which is key factor to evaluate the QoE for video streaming.}, author = {Dinh-Xuan, Lam and Popp, Christian and Burger, Valentin and Wamser, Florian}, journal = {Special Issue of Scalable Computing and Communications Journal on Software-Defined Networking and Network Function Virtualization}, number = {SCAC-D-17-00027R1}, title = {Study on VNF-based QoE Monitoring in the Cloud}, year = 2017 }
  %0 Journal Article %1 info3-article-2017-7 %A Dinh-Xuan, Lam %A Popp, Christian %A Burger, Valentin %A Wamser, Florian %D 2017 %J Special Issue of Scalable Computing and Communications Journal on Software-Defined Networking and Network Function Virtualization %N SCAC-D-17-00027R1 %T Study on VNF-based QoE Monitoring in the Cloud %X The fast growth of video streaming is responsible for a huge amount of traffic over the past few years. Due to the variety and popularity of video content on the Internet, a potential market is emerging for video providers, but also poses challenges for network operators in order to meet users' expectations. To address this problem, network operators need a mechanism to monitor the video quality and Quality of Experience (QoE) as perceived by the users. This allows reacting on quality degradations to improve the service in the network. With the paradigm of Network Function Virtualization, network operators are able to deploy such a Virtual Network Function (VNF) for video monitoring in the cloud. In this work, we investigate the feasibility of deploying a VNF for video buffer monitoring in the Amazon Web Service (AWS) cloud. To this end, we implement the VNF to analyze video flows in the network by using deep packet inspection. We investigate the influence of different points of presence (PoP) and a high mobility environment on the accuracy of the VNF for monitoring the video buffer and QoE perceived by the users. Our findings show that the accuracy of the VNF for video buffer monitoring decreases with the distance of the PoP to the client. This is not only due to the delay and bottleneck between the monitoring point and the client, but also due to the high mobility client access network. This means with increasing distance of the PoP to the client in a mobility environment, the probability of detecting stalling events also decreases, which is key factor to evaluate the QoE for video streaming.
• Metter, C., Seufert, M., Wamser, F., Zinner, T., Tran-Gia, P.: Analytical Model for SDN Signaling Traffic and Flow Table Occupancy and its Application for Various Types of Traffic. IEEE Transactions on Network and Service Management. 14, 603-615 (2017).
  [ Abstract ] [ BibTeX ] [ EndNote ]
   
  Software Defined Networking (SDN) has emerged as a promising networking paradigm overcoming various drawbacks of current communication networks. The control and data plane of switching devices is decoupled and control functions are centralized at the network controller. In SDN, each new flow introduces additional signaling traffic between the switch and the controller. Based on this traffic, rules are created in the flow table of the switch, which specify the forwarding behavior. To avoid table overflows, unused entries are removed after a predefined time-out period. Given a specific traffic mix, the choice of this time-out period affects the trade-off between signaling rate and table occupancy. As a result, network operators have to adjust this parameter to enable a smooth and efficient network operation. Due to the complexity of this problem caused by the various traffic flows in a network, a suitable abstraction is necessary in order to derive valid parameter values in time. The contribution of this work is threefold. Firstly, we formulate a simple analytical model that allows optimizing the network performance with respect to the table occupancy and the signaling rate. Secondly, we validate the model by means of simulation. Thirdly, we illustrate the impact of the time-out period on the signaling traffic and the flow table occupancy for different data-plane traffic mixes and characteristics. This includes scenarios with single application instances, as well as multiple application instances of different application types in an SDN-enabled network.
  @article{info3-article-2017-5, abstract = {Software Defined Networking (SDN) has emerged as a promising networking paradigm overcoming various drawbacks of current communication networks. The control and data plane of switching devices is decoupled and control functions are centralized at the network controller. In SDN, each new flow introduces additional signaling traffic between the switch and the controller. Based on this traffic, rules are created in the flow table of the switch, which specify the forwarding behavior. To avoid table overflows, unused entries are removed after a predefined time-out period. Given a specific traffic mix, the choice of this time-out period affects the trade-off between signaling rate and table occupancy. As a result, network operators have to adjust this parameter to enable a smooth and efficient network operation. Due to the complexity of this problem caused by the various traffic flows in a network, a suitable abstraction is necessary in order to derive valid parameter values in time. The contribution of this work is threefold. Firstly, we formulate a simple analytical model that allows optimizing the network performance with respect to the table occupancy and the signaling rate. Secondly, we validate the model by means of simulation. Thirdly, we illustrate the impact of the time-out period on the signaling traffic and the flow table occupancy for different data-plane traffic mixes and characteristics. This includes scenarios with single application instances, as well as multiple application instances of different application types in an SDN-enabled network.}, author = {Metter, Christopher and Seufert, Michael and Wamser, Florian and Zinner, Thomas and Tran-Gia, Phuoc}, journal = {IEEE Transactions on Network and Service Management}, month = 9, number = 3, pages = {603-615}, title = {Analytical Model for SDN Signaling Traffic and Flow Table Occupancy and its Application for Various Types of Traffic}, volume = 14, year = 2017 }
  %0 Journal Article %1 info3-article-2017-5 %A Metter, Christopher %A Seufert, Michael %A Wamser, Florian %A Zinner, Thomas %A Tran-Gia, Phuoc %D 2017 %J IEEE Transactions on Network and Service Management %N 3 %P 603-615 %T Analytical Model for SDN Signaling Traffic and Flow Table Occupancy and its Application for Various Types of Traffic %V 14 %X Software Defined Networking (SDN) has emerged as a promising networking paradigm overcoming various drawbacks of current communication networks. The control and data plane of switching devices is decoupled and control functions are centralized at the network controller. In SDN, each new flow introduces additional signaling traffic between the switch and the controller. Based on this traffic, rules are created in the flow table of the switch, which specify the forwarding behavior. To avoid table overflows, unused entries are removed after a predefined time-out period. Given a specific traffic mix, the choice of this time-out period affects the trade-off between signaling rate and table occupancy. As a result, network operators have to adjust this parameter to enable a smooth and efficient network operation. Due to the complexity of this problem caused by the various traffic flows in a network, a suitable abstraction is necessary in order to derive valid parameter values in time. The contribution of this work is threefold. Firstly, we formulate a simple analytical model that allows optimizing the network performance with respect to the table occupancy and the signaling rate. Secondly, we validate the model by means of simulation. Thirdly, we illustrate the impact of the time-out period on the signaling traffic and the flow table occupancy for different data-plane traffic mixes and characteristics. This includes scenarios with single application instances, as well as multiple application instances of different application types in an SDN-enabled network.

2017

• Nguyen-Ngoc, A., Lange, S., Zinner, T., Seufert, M., Tran-Gia, P., Aerts, N., Hock, D.: Performance Evaluation of Selective Flow Monitoring in the ONOS Controller. 4th International Workshop on Management of SDN and NFV Systems (ManSDN/NFV). , Tokio, Japan (2017).
  [ Abstract ] [ BibTeX ] [ EndNote ]
   
  One of the benefits when network operators adopt the Software Defined Networking (SDN) paradigm is the ability to monitor the traffic in the network without an additional network management system. Usually, SDN controllers utilize OpenFlow statistics messages in order to regularly gather information about all flows in the network. However, using the same polling interval for all flows does not take into account the heterogeneity of real world traffic and thus results in an imbalance between monitoring accuracy and control plane overhead. In particular, frequent querying results in a high resource consumption at the controller. This work proposes a Selective Flow Monitoring (SFM) mechanism that allows administrators to classify flows according to their individual requirements in terms of monitoring frequency, e.g., less frequent polling of elephant flows and frequent polling of QoS sensitive VoIP connections. We compare the performance of the SFM mechanism with the default monitoring scheme in a testbed featuring the Open Network Operating System (ONOS) controller. In this context, the CPU utilization of the controller is used as performance indicator. After identifying relevant influence factors like the number of flows and switches in the network, we investigate the viability of the approaches in different scenarios. Finally, we provide guidelines regarding their choice.
  @inproceedings{info3-inproceedings-2017-20, abstract = {One of the benefits when network operators adopt the Software Defined Networking (SDN) paradigm is the ability to monitor the traffic in the network without an additional network management system. Usually, SDN controllers utilize OpenFlow statistics messages in order to regularly gather information about all flows in the network. However, using the same polling interval for all flows does not take into account the heterogeneity of real world traffic and thus results in an imbalance between monitoring accuracy and control plane overhead. In particular, frequent querying results in a high resource consumption at the controller. This work proposes a Selective Flow Monitoring (SFM) mechanism that allows administrators to classify flows according to their individual requirements in terms of monitoring frequency, e.g., less frequent polling of elephant flows and frequent polling of QoS sensitive VoIP connections. We compare the performance of the SFM mechanism with the default monitoring scheme in a testbed featuring the Open Network Operating System (ONOS) controller. In this context, the CPU utilization of the controller is used as performance indicator. After identifying relevant influence factors like the number of flows and switches in the network, we investigate the viability of the approaches in different scenarios. Finally, we provide guidelines regarding their choice.}, address = {Tokio, Japan}, author = {Nguyen-Ngoc, Anh and Lange, Stanislav and Zinner, Thomas and Seufert, Michael and Tran-Gia, Phuoc and Aerts, Nieke and Hock, David}, booktitle = {4th International Workshop on Management of SDN and NFV Systems (ManSDN/NFV)}, month = 11, title = {Performance Evaluation of Selective Flow Monitoring in the ONOS Controller}, year = 2017 }
  %0 Conference Paper %1 info3-inproceedings-2017-20 %A Nguyen-Ngoc, Anh %A Lange, Stanislav %A Zinner, Thomas %A Seufert, Michael %A Tran-Gia, Phuoc %A Aerts, Nieke %A Hock, David %B 4th International Workshop on Management of SDN and NFV Systems (ManSDN/NFV) %C Tokio, Japan %D 2017 %T Performance Evaluation of Selective Flow Monitoring in the ONOS Controller %X One of the benefits when network operators adopt the Software Defined Networking (SDN) paradigm is the ability to monitor the traffic in the network without an additional network management system. Usually, SDN controllers utilize OpenFlow statistics messages in order to regularly gather information about all flows in the network. However, using the same polling interval for all flows does not take into account the heterogeneity of real world traffic and thus results in an imbalance between monitoring accuracy and control plane overhead. In particular, frequent querying results in a high resource consumption at the controller. This work proposes a Selective Flow Monitoring (SFM) mechanism that allows administrators to classify flows according to their individual requirements in terms of monitoring frequency, e.g., less frequent polling of elephant flows and frequent polling of QoS sensitive VoIP connections. We compare the performance of the SFM mechanism with the default monitoring scheme in a testbed featuring the Open Network Operating System (ONOS) controller. In this context, the CPU utilization of the controller is used as performance indicator. After identifying relevant influence factors like the number of flows and switches in the network, we investigate the viability of the approaches in different scenarios. Finally, we provide guidelines regarding their choice.
• Seufert, M., Moldovan, C., Burger, V., Hoßfeld, T.: Applicability and Limitations of a Simple WiFi Hotspot Model for Cities. 13th International Conference on Network and Service Management (CNSM). , Tokio, Japan (2017).
  [ Abstract ] [ BibTeX ] [ EndNote ]
   
  Offloading mobile Internet data via WiFi has emerged as an omnipresent trend. WiFi networks are already widely deployed by many private and public institutions (e.g., libraries, cafes, restaurants) but also by commercial services to provide alternative Internet access for their customers and to mitigate the load on mobile networks. Moreover, smart cities start to install WiFi infrastructure for current and future civic services, e.g., based on sensor networks or the Internet of Things. A simple model for the distribution of WiFi hotspots in an urban environment is presented. The hotspot locations are modeled with a uniform distribution of the angle and an exponential distribution of the distance, which is truncated to the city limits. We compare the characteristics of this model in detail to the real distributions. Moreover, we show the applicability and the limitations of this model, and the results suggest that the model can be used in scenarios, which do not require an accurate spatial collocation of the hotspots, such as offloading potential, coverage, or signal strength.
  @inproceedings{info3-inproceedings-2017-19, abstract = {Offloading mobile Internet data via WiFi has emerged as an omnipresent trend. WiFi networks are already widely deployed by many private and public institutions (e.g., libraries, cafes, restaurants) but also by commercial services to provide alternative Internet access for their customers and to mitigate the load on mobile networks. Moreover, smart cities start to install WiFi infrastructure for current and future civic services, e.g., based on sensor networks or the Internet of Things. A simple model for the distribution of WiFi hotspots in an urban environment is presented. The hotspot locations are modeled with a uniform distribution of the angle and an exponential distribution of the distance, which is truncated to the city limits. We compare the characteristics of this model in detail to the real distributions. Moreover, we show the applicability and the limitations of this model, and the results suggest that the model can be used in scenarios, which do not require an accurate spatial collocation of the hotspots, such as offloading potential, coverage, or signal strength.}, address = {Tokio, Japan}, author = {Seufert, Michael and Moldovan, Christian and Burger, Valentin and Hoßfeld, Tobias}, booktitle = {13th International Conference on Network and Service Management (CNSM)}, month = 11, title = {Applicability and Limitations of a Simple WiFi Hotspot Model for Cities}, year = 2017 }
  %0 Conference Paper %1 info3-inproceedings-2017-19 %A Seufert, Michael %A Moldovan, Christian %A Burger, Valentin %A Hoßfeld, Tobias %B 13th International Conference on Network and Service Management (CNSM) %C Tokio, Japan %D 2017 %T Applicability and Limitations of a Simple WiFi Hotspot Model for Cities %X Offloading mobile Internet data via WiFi has emerged as an omnipresent trend. WiFi networks are already widely deployed by many private and public institutions (e.g., libraries, cafes, restaurants) but also by commercial services to provide alternative Internet access for their customers and to mitigate the load on mobile networks. Moreover, smart cities start to install WiFi infrastructure for current and future civic services, e.g., based on sensor networks or the Internet of Things. A simple model for the distribution of WiFi hotspots in an urban environment is presented. The hotspot locations are modeled with a uniform distribution of the angle and an exponential distribution of the distance, which is truncated to the city limits. We compare the characteristics of this model in detail to the real distributions. Moreover, we show the applicability and the limitations of this model, and the results suggest that the model can be used in scenarios, which do not require an accurate spatial collocation of the hotspots, such as offloading potential, coverage, or signal strength.
• 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).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{info3-inproceedings-2017-18, author = {Loh, Frank and Burger, Valentin and Wamser, Florian and Tran-Gia, Phuoc and Schembra, Giovanni and Rametta, Corrado}, booktitle = {29th International Teletraffic Congress (ITC)}, month = 9, title = {Performance Evaluation of Video Streaming Service Chains in Softwarized 5G Networks with Task Graph Reduction}, year = 2017 }
  %0 Conference Paper %1 info3-inproceedings-2017-18 %A Loh, Frank %A Burger, Valentin %A Wamser, Florian %A Tran-Gia, Phuoc %A Schembra, Giovanni %A Rametta, Corrado %B 29th International Teletraffic Congress (ITC) %D 2017 %T Performance Evaluation of Video Streaming Service Chains in Softwarized 5G Networks with Task Graph Reduction

2016

• Gebert, S., Zinner, T., Lange, S., Schwartz, C., Tran-Gia, P.: Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval. University of Wuerzburg (2016).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @techreport{info3-techreport-2016-1, author = {Gebert, Steffen and Zinner, Thomas and Lange, Stanislav and Schwartz, Christian and Tran-Gia, Phuoc}, institution = {University of Wuerzburg}, month = 6, number = 498, title = {Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval}, year = 2016 }
  %0 Report %1 info3-techreport-2016-1 %A Gebert, Steffen %A Zinner, Thomas %A Lange, Stanislav %A Schwartz, Christian %A Tran-Gia, Phuoc %D 2016 %N 498 %T Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval

2015

• Seufert, M., Hoßfeld, T., Sperb Machado, G., Bocek, T., Biancani, M., Cruschelli, P., Lapacz, R., Darzanos, G., Papafili, I., Wajda, K.: A Survey of Cloud Services and Potential Applications of Social Awareness. University of Wuerzburg (2015).
  [ BibTeX ] [ EndNote ]
   
  @techreport{info3-techreport-2015-3, author = {Seufert, Michael and Hoßfeld, Tobias and Sperb Machado, Guilherme and Bocek, Thomas and Biancani, Matteo and Cruschelli, Paolo and Lapacz, Roman and Darzanos, George and Papafili, Ioanna and Wajda, Krzysztof}, institution = {University of Wuerzburg}, month = 11, number = 496, title = {A Survey of Cloud Services and Potential Applications of Social Awareness}, year = 2015 }
  %0 Report %1 info3-techreport-2015-3 %A Seufert, Michael %A Hoßfeld, Tobias %A Sperb Machado, Guilherme %A Bocek, Thomas %A Biancani, Matteo %A Cruschelli, Paolo %A Lapacz, Roman %A Darzanos, George %A Papafili, Ioanna %A Wajda, Krzysztof %D 2015 %N 496 %T A Survey of Cloud Services and Potential Applications of Social Awareness

2013

• Schwartz, C., Hoßfeld, T., Lehrieder, F., Tran-Gia, P.: Performance Analysis of the Trade-off Between Signalling Load and Power Consumption for Popular Smartphone Apps in 3G Networks. University of Wuerzburg (2013).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @techreport{info3-techreport-2013-260, author = {Schwartz, Christian and Hoßfeld, Tobias and Lehrieder, Frank and Tran-Gia, Phuoc}, institution = {University of Wuerzburg}, month = 1, number = 485, title = {Performance Analysis of the Trade-off Between Signalling Load and Power Consumption for Popular Smartphone Apps in 3G Networks}, year = 2013 }
  %0 Report %1 info3-techreport-2013-260 %A Schwartz, Christian %A Hoßfeld, Tobias %A Lehrieder, Frank %A Tran-Gia, Phuoc %D 2013 %N 485 %T Performance Analysis of the Trade-off Between Signalling Load and Power Consumption for Popular Smartphone Apps in 3G Networks

2017

• Burger, V.: Performance Evaluation and Optimization of Content Delivery Networks, (2017).
  [ BibTeX ] [ EndNote ]
   
  @phdthesis{info3-dissertation-2017-2, author = {Burger, Valentin}, month = 7, school = {University of Wuerzburg}, title = {Performance Evaluation and Optimization of Content Delivery Networks}, year = 2017 }
  %0 Thesis %1 info3-dissertation-2017-2 %A Burger, Valentin %D 2017 %T Performance Evaluation and Optimization of Content Delivery Networks
• Gebert, S.: Architectures for Softwarized Networks and their Performance Evaluation, (2017).
  [ BibTeX ] [ EndNote ]
   
  @phdthesis{info3-dissertation-2017-1, author = {Gebert, Steffen}, month = 6, school = {University of Wuerzburg}, title = {Architectures for Softwarized Networks and their Performance Evaluation}, year = 2017 }
  %0 Thesis %1 info3-dissertation-2017-1 %A Gebert, Steffen %D 2017 %T Architectures for Softwarized Networks and their Performance Evaluation

2016

• Hirth, M.: Modeling Crowdsourcing Platforms - A Use-Case Driven Approach, (2016).
  [ BibTeX ] [ EndNote ]
   
  @phdthesis{info3-dissertation-2016-2, author = {Hirth, Matthias}, month = 8, school = {University of Wuerzburg}, title = {Modeling Crowdsourcing Platforms - A Use-Case Driven Approach}, year = 2016 }
  %0 Thesis %1 info3-dissertation-2016-2 %A Hirth, Matthias %D 2016 %T Modeling Crowdsourcing Platforms - A Use-Case Driven Approach