Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Quality of Service

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    Implementation of an adaptive buffering algorithm to improve QoS in VoIP
    (2005) Nagesh, H.R.; Chandra Sekaran, K.C.; Kordcal, A.R.
    The Internet has evolved into a worldwide communication infrastructure and it now provides various services including Voice over IP (VoIP) or Internet Telephony [7]. VoIP involves transmission of voice packets across the IP network known as IP telephony. Internet Protocol (IP) Telephony has many issues that have to be overcome before it can be considered a rival to the existing telephony infrastructure. One such issue is the Quality of service (QoS). The use of play-out buffering at the receiver helps to improve the quality of Voice over IP (VoIP). There exists a buffering algorithm, which uses a dynamic adaptive approach. In this algorithm the playout times of voice packets are calculated using adaptive estimation of the network delays. In contrast to previous solutions, weighting factor that controls the estimation process is dynamically adjusted according to the observed delay variations. This results in higher quality estimates of network delay. The contribution of this paper is to analyze, implement and incorporate one such adaptive buffering algorithm into the Session Initiation Protocol (SIP) through which one can achieve better delay/loss trade-off and thus better call quality.
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    A QoS and QoE based integrated model for bidirectional web service recommendation
    (Institute of Electrical and Electronics Engineers Inc., 2018) Jhaveri, S.; Soundalgekar, P.M.; George, K.; Kamath S․, S.K.
    For a given requirement, identifying relevant Web services and recommending the best ones is an important task in Service-oriented application development. In this paper, a composite model that leverages Quality of Service (QoS) and Quality of Experience (QoE) for bidirectional Web service recommendation (bi-WSR) is proposed. The QoS based recommendation model is built on degree of user satisfaction, calculated using a special normalization technique and user satisfaction functions like response time and throughput. The QoE model is trained on a dataset containing positive, negative and neutral textual reviews of web services for sentiment analysis and mapped to each service's QoS values using a clustering method. This further optimizes the recommendation of web services to consumers, as the sentiment score of reviews is integrated with the user satisfaction using weighted average scoring. To describe the relationship between both web services consumers and providers consumers, a cube model is built. For recommending services to consumers and recommending potential consumers to service providers, hybrid collaborative filtering based techniques were used. The results obtained when only QoS is used, and when QoS and sentiment analysis scores are integrated to form QoE showed significant improvement in the quality of recommendation. © 2018 Pacific Neighborhood Consortium (PNC).
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    DPDK-FQM: Framework for Queue Management Algorithms in DPDK
    (Institute of Electrical and Electronics Engineers Inc., 2020) Pandey, A.; Bargaje, G.; Avinash; Krishnam, S.; Anand, T.; Monis, L.; Tahiliani, M.P.
    The advantages of Network Function Virtualization (NFV) have attracted many use cases ranging from virtual Customer Premises Equipment (vCPE) to virtual Radio Access Network (vRAN) and virtual Evolved Packet Core (vEPC). Fast packet processing libraries such as Data Plane Development Kit (DPDK) are necessary to enable NFV. Currently, DPDK provides a framework for Quality of Service (QoS) which is used for queue management, traffic shaping and policing, but it lacks a general purpose queue management framework. In this paper, we propose DPDK-FQM, a framework to implement queue management algorithms in DPDK, run them and collect the desired statistics. Subsequently, we implement Proportional Integral controller Enhanced (PIE) and Controlled Delay (CoDel) queue management algorithms by using the proposed framework. We develop a new DPDK application to demonstrate the usage of APIs in DPDK-FQM, and verify the correctness of the framework and implementations of PIE and CoDel. Our experiments on a high speed network testbed show that PIE and CoDel exhibit their key characteristics by controlling the queue delay at a desired target, while fully utilizing the bottleneck bandwidth. © 2020 IEEE.