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Arlos, Patrik
Publications (10 of 30) Show all publications
Paladi, N., Svenningsson, J., Medina, J. & Arlos, P. (2019). Protecting OpenFlow Flow Tables with Intel SGX. In: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos: . Paper presented at Association for Computing Machinery's Special Interest Group on Data Communications, SIGCOMM, Beijing (pp. 146-147). Beijing: ACM Publications
Open this publication in new window or tab >>Protecting OpenFlow Flow Tables with Intel SGX
2019 (English)In: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, Beijing: ACM Publications, 2019, p. 146-147Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Beijing: ACM Publications, 2019
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-18654 (URN)10.1145/3342280.3342339 (DOI)978-1-4503-6886-5 (ISBN)
Conference
Association for Computing Machinery's Special Interest Group on Data Communications, SIGCOMM, Beijing
Available from: 2019-09-13 Created: 2019-09-13 Last updated: 2019-09-20Bibliographically approved
Phan, H., Chu, T. M., Zepernick, H.-J. & Arlos, P. (2015). Packet Loss Priority of Cognitive Radio Networks with Partial Buffer Sharing. In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC): . Paper presented at IEEE International Conference on Communications (ICC), JUN 08-12, 2015, London, ENGLAND (pp. 7646-7652). IEEE Computer Society
Open this publication in new window or tab >>Packet Loss Priority of Cognitive Radio Networks with Partial Buffer Sharing
2015 (English)In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE Computer Society, 2015, p. 7646-7652Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we consider the application of partial buffer sharing to an M/G/1/K queueing system for cognitive radio networks (CRNs). It is assumed that the CRN is subject to Nakagami-m. fading. Secondary users are allowed to utilize the licensed radio spectrum of the primary users through underlay spectrum access. A finite buffer at the secondary transmitter is partitioned into two regions, the first region serves both classes of packets while the second region serves only packets of the highest priority class. Therefore, the examined CRN can be modeled as an M/G/1/K queueing system using partial buffer sharing. An embedded Markov chain is applied to analyze the queueing behavior of the system. Utilizing the balance equations and the normalized equation, the equilibrium state distribution of the system at an arbitrary time instant can be found. This outcome is utilized to investigate the impact of queue length, arrival rates, and fading parameters on queueing performance measures such as blocking probability, throughput, mean packet transmission time, channel utilization, mean number of packets in the system, and mean packet waiting time for each class of packets.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015
Series
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-11854 (URN)000371708107145 ()978-1-4673-6432-4 (ISBN)
Conference
IEEE International Conference on Communications (ICC), JUN 08-12, 2015, London, ENGLAND
Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2017-03-16Bibliographically approved
Ickin, S., Fiedler, M., Wac, K., Arlos, P., Temiz, C. & Mkocha, K. (2015). VLQoE: Video QoE instrumentation on the smartphone. Multimedia tools and applications, 74(2), 381-411
Open this publication in new window or tab >>VLQoE: Video QoE instrumentation on the smartphone
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2015 (English)In: Multimedia tools and applications, ISSN 1380-7501, E-ISSN 1573-7721, Vol. 74, no 2, p. 381-411Article in journal (Refereed) Published
Abstract [en]

The usage of network-demanding applications is growing rapidly such as video streaming on mobile terminals. However, network and/or service providers might not guarantee the perceived quality for video streaming that demands high packet transmission rate. In order to satisfy the user expectations and to minimize user churn, it is important for network operators to infer the end-user perceived quality in video streaming. Today, the most reliable method to obtain end-user perceived quality is through subjective tests, and the preferred location is the user interface as it is the closest point of application to the end-user. The end-user perceived quality on video streaming is highly influenced by occasional freezes; technically the extraordinary time gaps between two consecutive pictures that are displayed to the user, i.e., high inter-picture time. In this paper, we present a QoE instrumentation for video streaming, VLQoE. We added functionality to the VLC player to record a set of metrics from the user interface, application-level, network-level, and from the available sensors of the device. To the best of our knowledge, VLQoE is the first tool of its kind that can be used in user experiments for video streaming. By using the tool, we present a two state model based on the inter-picture time, for the HTTP- and RTSP-based video streaming via 3.5G. Next, we studied the influence of inter-picture time on the user perceived quality through out a user study. We investigated the minimum user perceived inter-picture time, and the user response time.

Place, publisher, year, edition, pages
Springer, 2015
Keywords
QoE (Quality of Experience), QoS (Quality of Service), Smartphone, Video, User interface, Human Computer Interaction (HCI)
National Category
Human Aspects of ICT Computer Sciences Media and Communications
Identifiers
urn:nbn:se:bth-6316 (URN)10.1007/s11042-014-1919-0 (DOI)000348445300005 ()oai:bth.se:forskinfo095163BDD4E8ABE6C1257CAF007391CD (Local ID)oai:bth.se:forskinfo095163BDD4E8ABE6C1257CAF007391CD (Archive number)oai:bth.se:forskinfo095163BDD4E8ABE6C1257CAF007391CD (OAI)
Note

http://link.springer.com/article/10.1007%2Fs11042-014-1919-0

Available from: 2015-05-26 Created: 2014-04-03 Last updated: 2018-01-11Bibliographically approved
Phan, H., Chu, T. M., Zepernick, H.-J. & Arlos, P. (2013). Delay and Throughput Analysis for Opportunistic Decode-and-Forward Relay Networks. In: : . Paper presented at International Conference on IEEE Computing, Management and Telecommunications (IEEE ComManTel). Ho Chi Minh City: IEEE
Open this publication in new window or tab >>Delay and Throughput Analysis for Opportunistic Decode-and-Forward Relay Networks
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we develop a queueing analysis for opportunistic decode-and-forward (DF) relay networks. It is assumed that the networks undergo Nakagami-m fading and that the external arrival process follows a Poisson distribution. By selecting the best relay according to the opportunistic relaying scheme, the source first transmits its signal to the best relay which then attempts to decode the reception and forwards the output to the destination. It is assumed that each relay operates in full-duplex mode, i.e., it can receive and transmit signals simultaneously. The communication process throughout the network can be modeled as a queueing network which is structured from sub-systems of M/G/1 and G/G/1 queueing stations. We invoke the approximate analysis, so-called method of decomposition, to analyze the performance behavior of the considered relay network. The whole queueing network is broken into separate queues which are then investigated individually. Based on this approach, the end-to-end packet transmission time and throughput of the considered relay network are quantified in comparison with the networks with partial relay selection (PRS).

Place, publisher, year, edition, pages
Ho Chi Minh City: IEEE, 2013
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-6956 (URN)000318220400051 ()oai:bth.se:forskinfo1C2EF0572687A59DC1257B940030F51E (Local ID)978-1-4673-2088-7 (ISBN)oai:bth.se:forskinfo1C2EF0572687A59DC1257B940030F51E (Archive number)oai:bth.se:forskinfo1C2EF0572687A59DC1257B940030F51E (OAI)
Conference
International Conference on IEEE Computing, Management and Telecommunications (IEEE ComManTel)
Available from: 2013-06-27 Created: 2013-06-24 Last updated: 2017-03-14Bibliographically approved
Fiedler, M., Wac, K., Bults, R. & Arlos, P. (2013). Estimating performance of mobile services from comparative output-input analysis of end-to-end throughput. IEEE Transactions on Mobile Computing, 12(9), 1761-1773
Open this publication in new window or tab >>Estimating performance of mobile services from comparative output-input analysis of end-to-end throughput
2013 (English)In: IEEE Transactions on Mobile Computing, ISSN 1536-1233, E-ISSN 1558-0660, Vol. 12, no 9, p. 1761-1773Article in journal (Refereed) Published
Alternative title[sv]
Uppskattning av tjänsteprestanda genom output-input jämförelse av datahastighet
Abstract [en]

Mobile devices with ever-increasing functionality and the ubiquitous availability of wireless communication networks are driving forces behind innovative mobile applications enriching our daily life. One of the performance measures for a successful application deployment is the ability to support application-data flows by heterogeneous networks within certain delay boundaries. However, the quantitative impact of this measure is unknown and practically infeasible to determine at real-time due to the mobile device resource constraints. We research practical methods for measurement-based performance evaluation of heterogeneous data communication networks that support mobile application-data flows. We apply the lightweight Comparative Output-Input Analysis (COIA) method estimating an additional delay based on an observation interval of interest (e.g., one second) induced on the flow. An additional delay is the amount of delay that exceeds non-avoidable, minimal end-to-end delay caused by the networks propagation, serialization and transmission. We propose five COIA methods to estimate additional delay and we validate their accuracy with measurements obtained from the existing healthcare and multimedia streaming applications. Despite their simplicity, our methods prove to be accurate in relation to an observation interval of interest, and robust under a variety of network conditions. The methods offer novel insights into application-data delays with regards to the performance of heterogeneous data communication networks.

Place, publisher, year, edition, pages
IEEE, 2013
Keywords
mobile application, additional delay, heterogeneous networks, application-level, throughput
National Category
Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-6639 (URN)10.1109/TMC.2012.141 (DOI)000322330200007 ()oai:bth.se:forskinfo30B2CD8070D861D6C1257A6000584ACA (Local ID)oai:bth.se:forskinfo30B2CD8070D861D6C1257A6000584ACA (Archive number)oai:bth.se:forskinfo30B2CD8070D861D6C1257A6000584ACA (OAI)
Note
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6226414&tag=1 Article number6226414Available from: 2014-07-18 Created: 2012-08-20 Last updated: 2018-01-11Bibliographically approved
Shaikh, J., Fiedler, M., Minhas, T. N., Arlos, P. & Collange, D. (2012). Inferring User-perceived Performance of Network by Monitoring TCP Interruptions. Network Protocols and Algorithms, 4(2), 49-67
Open this publication in new window or tab >>Inferring User-perceived Performance of Network by Monitoring TCP Interruptions
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2012 (English)In: Network Protocols and Algorithms, ISSN 1943-3581, E-ISSN 1943-3581, Vol. 4, no 2, p. 49-67Article in journal (Refereed) Published
Abstract [en]

The fluctuating performance of wireless and mobile networks has triggered the need for smart algorithms to assess the user perception, resulting from the quality of network services. While efforts have been done to model the user experience resulting from the network performance, there is still the need for practical methods to assess the user-perceived performance, in the real environment. In this work, we present a set of criteria to observe the user behavior on the Web, passively from the network-level. The criteria are based on the monitoring of TCP control flags and HTTP requests. Thus, information about user actions performed in the web browser can be inferred by monitoring the TCP termination flags and by keeping track of the HTTP requests. Along the way, we also present some anomalies observed in the TCP connection termination process, which may result in performance degradation of Web transfers.

Place, publisher, year, edition, pages
Macrothink Institute, 2012
Keywords
Quality of Experience, Quality of Service, Network Monitoring, Network Measurements, Traffic Analysis
National Category
Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-7266 (URN)10.5296/npa.v4i2.1357 (DOI)oai:bth.se:forskinfoAE43590D5DC90281C1257A5A0053D860 (Local ID)oai:bth.se:forskinfoAE43590D5DC90281C1257A5A0053D860 (Archive number)oai:bth.se:forskinfoAE43590D5DC90281C1257A5A0053D860 (OAI)
External cooperation:
Note

Open access journal

Available from: 2012-09-18 Created: 2012-08-14 Last updated: 2018-01-11Bibliographically approved
Minhas, T. N., Lagunas, O. G., Arlos, P. & Fiedler, M. (2012). Mobile video sensitivity to packet loss and packet delay variation in terms of QoE. In: : . Paper presented at 19th International Packet Video Workshop (PV). Munich, Germany: IEEE
Open this publication in new window or tab >>Mobile video sensitivity to packet loss and packet delay variation in terms of QoE
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With the growth of the mobile internet, the popularity of multimedia services and applications have increased rapidly. As a result, end-users become quality-conscious. To fulfill the users' expectations, the study of quality of experience (QoE) is becoming very important for both researchers and service providers. This paper analyses the impact on perceived quality of received videos encoded with the H.264 baseline profile, which is suitable for mobile video, and streamed through an emulated network with packet loss and packet delay variation. To evaluate the video QoE, tests are conducted on a mobile device and on a laptop. The users' responses show that the baseline profile of H.264 is very sensitive to packet loss and packet delay variation. Moreover, there is no considerable impact on users' perception either test is conducted on the mobile device or on the laptop by playing the same resolution video.

Abstract [sv]

Pappret beskriver sammanhang mellan förluster / fördröjningsvariation och s k "Quality of Experience", och visar dessutom att terminalen (bärbar dator eller smartphone) inte spelar någon särskild roll i kvalitetsutvärderingen genom slutanvändare.

Place, publisher, year, edition, pages
Munich, Germany: IEEE, 2012
Keywords
Quality of Experience, smartphone, laptop, H.264, baseline profile, packet loss, jitter
National Category
Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-7260 (URN)10.1109/PV.2012.6229747 (DOI)oai:bth.se:forskinfoE727953F2F373A2DC1257A6000546E99 (Local ID)978-1-4673-0299-9 (ISBN)oai:bth.se:forskinfoE727953F2F373A2DC1257A6000546E99 (Archive number)oai:bth.se:forskinfoE727953F2F373A2DC1257A6000546E99 (OAI)
External cooperation:
Conference
19th International Packet Video Workshop (PV)
Note

IEEExplore: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6229747

Available from: 2012-09-18 Created: 2012-08-20 Last updated: 2018-01-11Bibliographically approved
Shaikh, J., Fiedler, M., Arlos, P. & Collange, D. (2012). Modeling and Analysis of Web Usage and Experience Based on Link-Level Measurements. In: : . Paper presented at 24th International Telectraffic Congress (ITC). Krakow: IEEE
Open this publication in new window or tab >>Modeling and Analysis of Web Usage and Experience Based on Link-Level Measurements
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Internet traffic monitoring and analysis have been playing a crucial role in understanding and characterizing user behavior on the web. In particular, ON-OFF models capture the essential phases of user communication with web servers. The OFF phases reflect both deliberate and accidental gaps in the traffic flow. In this paper, we present a passive monitoring and analysis method devised to assist in the identification of such traffic gaps that may result in the degradation of Quality of Experience (QoE). Our first contribution consists in a revised ON-OFF model to cater for OFF times reflecting accidental gaps which are induced by the network. Second, a wavelet-based criterion is proposed to differentiate between the network-induced traffic gaps and user think times. The proposed method is intended to be implemented in near-real-time as it does not require any deep packet inspection. Both web service providers and network operators may use this method to obtain objective evidence of the appearance of QoE problems from link-level measurements.

Place, publisher, year, edition, pages
Krakow: IEEE, 2012
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-7040 (URN)000311859600004 ()oai:bth.se:forskinfo20E955BB6C5962E7C1257AED00425478 (Local ID)978-0-9836283-4-7 (ISBN)oai:bth.se:forskinfo20E955BB6C5962E7C1257AED00425478 (Archive number)oai:bth.se:forskinfo20E955BB6C5962E7C1257AED00425478 (OAI)
External cooperation:
Conference
24th International Telectraffic Congress (ITC)
Available from: 2013-01-08 Created: 2013-01-08 Last updated: 2018-01-11Bibliographically approved
Collange, D., Mahdi, H., Shaikh, J., Fiedler, M. & Arlos, P. (2012). User Impatience and Network Performance. In: : . Paper presented at Euro-NGI Conference on Next Generation Internet (NGI). Karlskrona: IEEE
Open this publication in new window or tab >>User Impatience and Network Performance
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2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we analyze from passive measurements the correlations between the user-induced interruptions of TCP connections and different end-to-end performance metrics. The aim of this study is to assess the possibility for a network operator to take into account the customers' experience for network monitoring. We first observe that the usual connection-level performance metrics of the interrupted connections are not very different, and sometimes better than those of normal connections. However, the request-level performance metrics show stronger correlations between the interruption rates and the network quality-of-service. Furthermore, we show that the user impatience could also be used to characterize the relative sensitivity of data applications to various network performance metrics.

Place, publisher, year, edition, pages
Karlskrona: IEEE, 2012
Keywords
Network Monitoring, Quality of Experience, Quality of Service, Traffic Analysis
National Category
Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-7265 (URN)10.1109/NGI.2012.6252146 (DOI)oai:bth.se:forskinfoA62B4B23BAECA00DC1257A5A00564FB6 (Local ID)978-1-4673-1632-3 (ISBN)oai:bth.se:forskinfoA62B4B23BAECA00DC1257A5A00564FB6 (Archive number)oai:bth.se:forskinfoA62B4B23BAECA00DC1257A5A00564FB6 (OAI)
External cooperation:
Conference
Euro-NGI Conference on Next Generation Internet (NGI)
Available from: 2012-09-18 Created: 2012-08-14 Last updated: 2018-01-11Bibliographically approved
Arlos, P. (2011). Application Level Measurement. In: (Ed.), Network Performance Engineering: A Handbook on Convergent Multi-Service Networks and Next Generation Internet (pp. 14-36). Berlin / Heidelberg: Springer
Open this publication in new window or tab >>Application Level Measurement
2011 (English)In: Network Performance Engineering: A Handbook on Convergent Multi-Service Networks and Next Generation Internet, Berlin / Heidelberg: Springer , 2011, p. 14-36Chapter in book (Other academic)
Alternative title[sv]
Mätningar på applikationsnivå
Abstract [en]

In some cases, application-level measurements can be the only way for an application to get an understanding about the performance offered by the underlying network(s). It can also be that an application-level measurement is the only practical solution to verify the availability of a particular service. Hence, as more and more applications perform measurements of various networks; be that fixed or mobile, it is crucial to understand the context in which the application level measurements operate their capabilities and limitations. To this end in this paper we discuss some of the fundamentals of computer network performance measurements and in particular the key aspects to consider when using application level measurements to estimate network performance properties.

Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer, 2011
National Category
Telecommunications Computer Sciences
Identifiers
urn:nbn:se:bth-7535 (URN)10.1007/978-3-642-02742-0_2 (DOI)oai:bth.se:forskinfoDD616876D0EEE9A5C12578B50043B4C3 (Local ID)978-3-642-02741-3 (ISBN)oai:bth.se:forskinfoDD616876D0EEE9A5C12578B50043B4C3 (Archive number)oai:bth.se:forskinfoDD616876D0EEE9A5C12578B50043B4C3 (OAI)
Note
ISI nr:000290879900002Available from: 2012-09-18 Created: 2011-06-20 Last updated: 2018-01-11Bibliographically approved
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