Relevant bibliographies by topics / Low-latency services

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Low-latency services'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Low-latency services"

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Varga, József, Attila Hilt, József Bíró, Csaba Rotter, and Gábor Járó. "Reducing operational costs of ultra-reliable low latency services in 5G." Infocommunications journal, no. 4 (2018): 37–45. http://dx.doi.org/10.36244/icj.2018.4.6.

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Ultra-reliable low latency (uRLL) communication in 5G dictates the deployment of distributed infrastructure with numerous datacenters for low latency, while hosting ultra-reliable services mandates attended datacenters. This would boost the operational costs of 5G network operators planning country-wide coverage for uRLL services. This paper examines how these operational expenses dominated by administrative costs can be reduced without impacting the quality of the provided uRLL service. Our results indicate that hosting uRLL services in unattended datacenters with increased hardware redundancy schemes can produce significant cost savings.
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Sachs, Joachim, Lars A. A. Andersson, Jose Araujo, Calin Curescu, Johan Lundsjo, Goran Rune, Eckehard Steinbach, and Gustav Wikstrom. "Adaptive 5G Low-Latency Communication for Tactile InternEt Services." Proceedings of the IEEE 107, no. 2 (February 2019): 325–49. http://dx.doi.org/10.1109/jproc.2018.2864587.

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Lockwood, John W., and Madhu Monga. "Implementing Ultra-Low-Latency Datacenter Services with Programmable Logic." IEEE Micro 36, no. 4 (July 2016): 18–26. http://dx.doi.org/10.1109/mm.2016.55.

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Martin-Perez, Jorge, Luca Cominardi, Carlos J. Bernardos, Antonio de la Oliva, and Arturo Azcorra. "Modeling Mobile Edge Computing Deployments for Low Latency Multimedia Services." IEEE Transactions on Broadcasting 65, no. 2 (June 2019): 464–74. http://dx.doi.org/10.1109/tbc.2019.2901406.

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Kim, Eunkyung, Yuro Lee, and Heesoo Lee. "An Applicable Repeated Transmission for Low Latency and Reliable Services." IEEE Transactions on Vehicular Technology 69, no. 8 (August 2020): 8468–82. http://dx.doi.org/10.1109/tvt.2020.2995846.

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Kim, Kwang Soon, Dong Ku Kim, Chan-Byoung Chae, Sunghyun Choi, Young-Chai Ko, Jonghyun Kim, Yeon-Geun Lim, et al. "Ultrareliable and Low-Latency Communication Techniques for Tactile Internet Services." Proceedings of the IEEE 107, no. 2 (February 2019): 376–93. http://dx.doi.org/10.1109/jproc.2018.2868995.

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Zhou, Jianhong, Gang Feng, and Yi Gao. "Network Function Parallelization for High Reliability and Low Latency Services." IEEE Access 8 (2020): 75894–905. http://dx.doi.org/10.1109/access.2020.2988719.

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Simon, Csaba, Markosz Maliosz, and Miklos Mate. "Design Aspects of Low-Latency Services with Time-Sensitive Networking." IEEE Communications Standards Magazine 2, no. 2 (June 2018): 48–54. http://dx.doi.org/10.1109/mcomstd.2018.1700081.

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Szymanski, Ted H. "An Ultra-Low-Latency Guaranteed-Rate Internet for Cloud Services." IEEE/ACM Transactions on Networking 24, no. 1 (February 2016): 123–36. http://dx.doi.org/10.1109/tnet.2014.2358497.

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Wang, Chunpu, Chen Feng, and Julian Cheng. "Distributed Join-the-Idle-Queue for Low Latency Cloud Services." IEEE/ACM Transactions on Networking 26, no. 5 (October 2018): 2309–19. http://dx.doi.org/10.1109/tnet.2018.2869092.

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Dissertations / Theses on the topic "Low-latency services"

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Farshin, Alireza. "Realizing Low-Latency Internet Services via Low-Level Optimization of NFV Service Chains : Every nanosecond counts!" Licentiate thesis, KTH, Network Systems Laboratory (NS Lab), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-249664.

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By virtue of the recent technological developments in cloud computing, more applications are deployed in a cloud. Among these modern cloud-based applications, some require bounded and predictable low-latency responses. However, the current cloud infrastructure is unsuitable as it cannot satisfy these requirements, due to many limitations in both hardware and software. This licentiate thesis describes attempts to reduce the latency of Internet services by carefully studying the currently available infrastructure, optimizing it, and improving its performance. The focus is to optimize the performance of network functions deployed on commodity hardware, known as network function virtualization (NFV). The performance of NFV is one of the major sources of latency for Internet services. The first contribution is related to optimizing the software. This project began by investigating the possibility of superoptimizing virtualized network functions(VNFs). This began with a literature review of available superoptimization techniques, then one of the state-of-the-art superoptimization tools was selected to analyze the crucial metrics affecting application performance. The result of our analysis demonstrated that having better cache metrics could potentially improve the performance of all applications. The second contribution of this thesis employs the results of the first part by taking a step toward optimizing cache performance of time-critical NFV service chains. By doing so, we reduced the tail latencies of such systems running at 100Gbps. This is an important achievement as it increases the probability of realizing bounded and predictable latency for Internet services.
Tack vare den senaste tekniska utvecklingen inom beräkningar i molnet(“cloud computing”) används allt fler tillämpningar i molnlösningar. Flera avdessa moderna molnbaserade tillämpningar kräver korta svarstider är låga ochatt dessa ska vara förutsägbara och ligga inom givna gränser. Den nuvarandemolninfrastrukturen är dock otillräcklig eftersom den inte kan uppfylla dessa krav,på grund av olika typer av begränsningar i både hårdvara och mjukvara. I denna licentiatavhandling beskrivs försök att minska fördröjningen iinternettjänster genom att noggrant studera den nuvarande tillgängligainfrastrukturen, optimera den och förbättra dess prestanda. Fokus ligger påatt optimera prestanda för nätverksfunktioner som realiseras med hjälp avstandardhårdvara, känt som nätverksfunktionsvirtualisering (NFV). Prestanda hosNFV är en av de viktigaste källorna till fördröjning i internettjänster. Det första bidraget är relaterat till att optimera mjukvaran. Detta projektbörjade med att undersöka möjligheten att “superoptimera” virtualiseradenätverksfunktioner (VNF). Detta inleddes med en litteraturöversikt av tillgängligasuperoptimeringstekniker, och sedan valdes ett av de toppmodernasuperoptimeringsverktygen för att analysera de viktiga mätvärden som påverkartillämpningssprestanda. Resultatet av vår analys visade att bättre cache-mätningar potentiellt skulle kunna förbättra prestanda för alla tillämpningar. Det andra bidraget i denna avhandling utnyttjar resultaten från den förstadelen genom att ta ett steg mot att optimera cache-prestanda för tidskritiskakedjor av NFV-tjänster. Genom att göra så reducerade vi de långa fördröjningarnahos sådana system som kördes vid 100 Gbps. Detta är en viktig bedrift eftersomdetta ökar sannolikheten för att uppnå en begränsad och förutsägbar fördrörninghos internettjänster.

QC 20190415


Time-Critical Clouds
ULTRA
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Ning, Xufei. "Push-based low-latency solution for Tracked Resource Set protocol : An extension of Open Services for Lifecycle Collaboration specification." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-213126.

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Currently, the development of embedded system requires a variety of software and tools. Moreover, most of this software and tools are standalone applications, thus they are unconnected and their data can be inconsistent and duplicated. This increase both heterogeneity and the complexity of the development environment. To address this situation, tool integration solutions based on Linked Data are used, as they provide scalable and sustainable integration across different engineering tools. Different systems can access and share data by following the Linked-Data-based Open Service for Lifecycle Collaboration (OSLC) specification. OSLC uses the Tracked Resource Set (TRS) protocol to enable a server to expose a resource set and to enable a client to discover a resource in the resource set. Currently, the TRS protocol uses a client pull for the client to update its data and to synchronize with the server. However, this method is inefficient and time consuming. Moreover, high-frequency pulling may introduce an extra burden on the network and server, while low-frequency pulling increases the system’s latency (as seen by the client). A push-based low-latency solution for the TRS protocol was implemented using Message Queue Telemetry Transport (MQTT) technology. The TRS server uses MQTT to push the update patch (called a ChangeEvent) to the TRS client, then the client updates its content according to this ChangeEvent. As a result, the TRS client synchronizes with the TRS server in real time. Furthermore, a TRS adaptor was developed for Atlassian’s JIRA, a widely-used project and issue management tool. This JIRA-TRS adaptor provides a TRS provider with the ability to share data via JIRA with other software or tools which utilize the TRS protocol. In addition, a simulator was developed to simulate the operations in JIRA for a period of time (specifically the create, modify, and delete actions regarding issues) and acts as a validator to check if the data in TRS client matches the data in JIRA. An evaluation of the push-based TRS system shows an average synchronization delay of around 30 milliseconds. This is a huge change compared with original TRS system that synchronized every 60 seconds.
Nuvarande inbyggda system kräver en mängd olika program och verktyg för att stödja dess utveckling. Dessutom är de flesta av dessa programvara och verktyg fristående applikationer. De är oanslutna och deras data kan vara inkonsistent och duplicerad. Detta medför ökad heterogenitet och ökar komplexiteten i utvecklingsmiljön. För att hantera denna situation används verktygsintegrationslösningar baserade på Länkad Data, eftersom de ger en skalbar och hållbar integrationslösning för olika tekniska verktyg. Olika system kan komma åt och dela data genom att följa den Länkad Data-baserade tjänsten Open Service for Lifecycle Collaboration (OSLC). OSLC använder TRS-protokollet (Tracked Resource Set) så att en server kan exponera en resursuppsättning och för att möjliggöra för en klient att upptäcka en resurs i resursuppsättningen. TRS-protokollet använder för tillfället pull-metoden så att klienten kan uppdatera sin data och synkronisera med servern. Denna metod är emellertid ineffektiv och tidskrävande. Vidare kan en högfrekvensdriven pull-metod införa en extra börda på nätverket och servern, medan lågfrekvensdriven ökar systemets latens (som ses av klienten). I det här examensprojektet implementerar vi en pushbaserad låg latenslösning för TRS-protokollet. Den teknik som används är Message Queue Telemetry Transport (MQTT). TRS-servern använder MQTT för att pusha uppdateringspatchen (som kallas ChangeEvent) till TRS-klienten. Därefter uppdaterar klienten dess innehåll enligt denna ChangeEvent. Vilket resulterar i att TRS-klienten synkroniseras med TRS-servern i realtid. Dessutom utvecklas en TRS-adapter för Atlassians JIRA som är ett välanvänt projekt och problemhanteringsverktyg. JIRA-TRS-adaptern tillhandahåller en TRS-leverantör med möjlighet att dela data via JIRA med annan programvara eller verktyg som använder TRS-protokollet. Dessutom utvecklade vi en simulator för att simulera verksamheten i JIRA under en tidsperiod (specifikt skapa, ändra och ta bort åtgärder rörande problem) och en validator för att kontrollera om data i TRS-klienten matchar data i JIRA. En utvärdering av det pushbaserade TRS-systemet visar en genomsnittlig synkroniseringsfördröjning på cirka 30 millisekunder. Detta är en stor förändring jämfört med det ursprungliga TRS-systemet som synkroniseras var 60:e sekund.
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Rodriguez, J., X. Koudouridis, M. Gelabert, M. Tayyab, R. Bassoli, F. H. P. Fitzek, R. Torre, et al. "Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G." IEEE, 2001. http://hdl.handle.net/10454/18488.

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As 5th Generation research reaches the twilight, the research community must go beyond 5G and look towards the 2030 connectivity landscape, namely 6G. In this context, this work takes a step towards the 6G vision by proposing a next generation communication platform, which aims to extend the rigid coverage area of fixed deployment networks by considering virtual mobile small cells (MSC) that are created on demand. Relying on emerging computing paradigms such as NFV (Network Function Virtualization) and SDN (Software Defined Networking), these cells can harness radio and networking capability locally reducing protocol signalling latency and overhead. These MSCs constitute an intelligent pool of networking resources that can collaborate to form a wireless network of MSCs providing a communication platform for localized, ubiquitous and reliable connectivity. The technology enablers for implementing the MSC concept are also addressed in terms of virtualization, lightweight wireless security, and energy efficient RF. The benefits of the MSC architecture towards reliable and efficient cell-offloading are demonstrated as a use-case.
This project has received funding from the European Union´s H2020 research and innovation program under grant agreement H2020-MCSAITN- 2016-SECRET 722424 [2].
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Rodriguez, J., X. Koudouridis, M. Gelabert, M. Tayyab, R. Bassoli, F. H. P. Fitzek, R. Torre, et al. "Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G." IEEE, 2021. http://hdl.handle.net/10454/18488.

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As 5th Generation research reaches the twilight, the research community must go beyond 5G and look towards the 2030 connectivity landscape, namely 6G. In this context, this work takes a step towards the 6G vision by proposing a next generation communication platform, which aims to extend the rigid coverage area of fixed deployment networks by considering virtual mobile small cells (MSC) that are created on demand. Relying on emerging computing paradigms such as NFV (Network Function Virtualization) and SDN (Software Defined Networking), these cells can harness radio and networking capability locally reducing protocol signalling latency and overhead. These MSCs constitute an intelligent pool of networking resources that can collaborate to form a wireless network of MSCs providing a communication platform for localized, ubiquitous and reliable connectivity. The technology enablers for implementing the MSC concept are also addressed in terms of virtualization, lightweight wireless security, and energy efficient RF. The benefits of the MSC architecture towards reliable and efficient cell-offloading are demonstrated as a use-case.
This project has received funding from the European Union´s H2020 research and innovation program under grant agreement H2020-MCSAITN- 2016-SECRET 722424 [2].
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Ben, Yahia Mariem. "Low latency video streaming solutions based on HTTP/2." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0136/document.

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Les techniques adaptatives de transmission vidéo s’appuient sur un contenu qui est encodé à différents niveaux de qualité et divisé en segments temporels. Avant de télécharger un segment, le client exécute un algorithme d’adaptation pour décider le meilleur niveau de qualité à considérer. Selon les services, ce niveau de qualité doit correspondre aux ressources réseaux disponibles, mais aussi à d’autres éléments comme le mouvement de tête d’un utilisateur regardant une vidéo immersive (à 360°) afin de maximiser la qualité de la portion de la vidéo qui est regardée. L’efficacité de l’algorithme d’adaptation a un impact direct sur la qualité de l’expérience finale. En cas de mauvaise sélection de segment, un client HTTP/1 doit attendre le téléchargement du prochain segment afin de choisir une qualité appropriée. Dans cette thèse, nous proposons d’utiliser le protocole HTTP/2 pour remédier à ce problème. Tout d’abord, nous nous focalisons sur le service de vidéo en direct. Nous concevons une stratégie de rejet d’images vidéo quand la bande passante est très variable afin d’éviter les arrêts fréquents de la lecture vidéo et l’accumulation des retards. Le client doit demander chaque image vidéo dans un flux HTTP/2 dédié pour contrôler la livraison des images par appel aux fonctionnalités HTTP/2 au niveau des flux concernées. Ensuite, nous optimisons la livraison des vidéos immersives en bénéficiant de l’amélioration de la prédiction des mouvements de têtes de l’utilisateur grâce aux fonctionnalités d’initialisation et de priorité de HTTP/2. Les résultats montrent que HTTP/2 permet d’optimiser l’utilisation des ressources réseaux et de s’adapter aux latences exigées par chaque service
Adaptive video streaming techniques enable the delivery of content that is encoded at various levels of quality and split into temporal segments. Before downloading a segment, the client runs an adaptation algorithm to determine the level of quality that best matches the network resources. For immersive video streaming this adaptation mechanism should also consider the head movement of a user watching the 360° video to maximize the quality of the viewed portion. However, this adaptation may suffer from errors, which impact the end user’s quality of experience. In this case, an HTTP/1 client must wait for the download of the next segment to choose a suitable quality. In this thesis, we propose to use the HTTP/2 protocol instead to address this problem. First, we focus live streaming video. We design a strategy to discard video frames when the band width is very variable in order so as to avoid the rebuffering events and the accumulation of delays. The customer requests each video frame in an HTTP/2 stream which allows to control the delivery of frames by leveraging the HTTP/2 features at the level of the dedicated stream. Besides, we use the priority and reset stream features of HTTP/2 to optimize the delivery of immersive videos. We propose a strategy to benefit from the improvement of the user’s head movements prediction overtime. The results show that HTTP/2 allows to optimize the use of network resources and to adapt to the latencies required by each service
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Donde, Shrinish. "Support for Emulated 5G-System Bridge in a Time-Sensitive Bridged Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284514.

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Time Sensitive Networking (TSN) defined in the IEEE 802.1 working group, is an important enabler for industrial Internet of things, specifically industry 4.0. 3GPP release 16 specifications includes the 5G system as a logical TSN bridge, thus promoting the integration of 5G technology with TSN. This combination provides wireless deterministic communication thus ensuring low, bounded delay and near-zero packet loss. In this thesis, we implement a 5G system in- tegration with TSN using a discrete event network simulator (NS-3). Further, we propose a simplified per egress port scheduling algorithm based on IEEE 802.1Q (scheduled traffic standard) running in the Centralized Network Con- troller (CNC). Average packet delay, average jitter, average throughput and the packet loss is measured for comparing the performance difference when our TSN scheduler is used versus when it is not. The designed system is tested by measuring it’s network impact in terms of average delay and packet loss. The 5GS logical bridge behavior is simulated by varying the 5G bridge de- lay dynamically. For every frame transmission in the queue, the processing delay of a particular bridge is varied with pre-defined set of values. Two sets of 5GS bridge delay variations are considered, i.e. between 1-10ms and 5- 10ms respectively. On calculating the network impact, we conclude that the overall impact on the network decreases as the variation range for the delay gets smaller. This proves that higher delay variations have a significant impact whereas smaller delay variations have a negligible impact on the network. For the latter case, the system delay is considerably stable and thus can be used for industrial applications in real-life TSN scenarios.
Tidskritiska nätverk (TSN) definierat i IEEE 802.1-arbetsgruppen, är en vik- tig faktor för det industriella Sakernas Internet, särskilt när det gäller Industri4.0. Specifikationer enligt 3GPP release 16 inkluderar 5G-system som en lo- gisk TSN-brygga, som främjar integrationen av 5G-teknik med TSN. 5G med TSN ger trådlös deterministisk kommunikation som säkerställer låg, begrän- sad fördröjning och nästan noll paketförlust. I denna rapport implementerar vi en 5G-systemintegration med TSN med hjälp av en diskret händelse simu- lator (NS-3). Dessutom föreslår vi en förenklad algoritm för schemaläggning av portar per utgång baserat på IEEE 802.1Q (Scheduled Traffic Standard) som körs i en centraliserad nätverks-controller (CNC). Genomsnittlig paket- fördröjning, genomsnittlig fördröjningsvariation, genomsnittlig genomström- ning och paketförlust mäts för att jämföra prestandaskillnaden när vår TSN- schemaläggare används jämfört med när den inte används. Det utformade sy- stemet testas genom att mäta nätverkets påverkan i termer av genomsnittlig fördröjning och paketförlust. 5GS logiska bryggbeteende simuleras genom att dynamiskt variera 5G-bryggfördröjningen. För varje bildöverföring varieras bryggans bearbetningsfördröjning med en fördefinierad uppsättning värden. Två fördefinierade uppsättningar av 5GS-fördröjningsvariationer beaktas som ligger mellan 1-10ms respektive 5-10ms. När vi beräknar nätverkspåverkan drar vi slutsatsen att den totala effekten på nätverket minskar när variationen i fördröjningen blir mindre. Detta visar att högre fördröjningsvariationer har en signifikant effekt medan mindre fördröjningsvariationer har en försumbar effekt. I det senare fallet är systemfördröjningen betydligt stabilare och kan användas för tillämpningar i verkliga TSN-scenarier.
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Huang, Ting-Chun, and 黃亭鈞. "Realizing Low Latency Real-Time Video Streaming Service with TCP." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/34440272109505633081.

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碩士
國立臺灣海洋大學
資訊工程學系
103
Most real-time video streams are delivered using UDP. Compared against TCP, UDP does not have the head-of-line blocking effect, and therefore the performance does not drop dramatically due to packet losses. However, UDP does not offer a reliable packet delivery service, and it may not work in certain network setups including traffic shaping, firewall, and NAT. Researchers have attempted to solve the aforementioned problem using SCTP. However, the performance of SCTP on real-time video streaming is not clear, and it is not built-in for most off-the-shelf operating systems including both desktop and mobile OSes. As a result, it could not be a good choice for the demanding real-time multimedia streaming applications such as cloud gaming and video surveillance. Based on the observation, we proposed a real-time video streaming protocol design based on TCP, which is called multiple-flow TCP model. In this model, we leverage concurrent TCP flows to deliver multimedia streams. In addition to take the benefits of reliable packet delivery, the performance drop caused on packet losses can be mitigated and therefore improve the overall throughput. Our evaluation shows that the multiple-flow TCP model has a similar performance to UDP, and it offers the benefits of TCP and SCTP. We further conduct user studies to understand real user experiences regarding the performance of the proposed model. It also shows that the multiple-flow TCP model can perform better than TCP and SCTP in terms of real-timeliness and video quality.
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Tseng, Huai-En, and 曾懷恩. "The Low Latency Service Function Chain with SR-I/OV in Software Defined Network." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/362zzr.

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碩士
國立臺灣科技大學
資訊工程系
106
Due to swift Internet technology and computer hardware development in recent years, the demands of network functions are rising. Compared to hardware-based network services, it is faster and more flexible to virtualize the network services and a flows may be processed by multiple network services as a Service Function Chain (SFC). Using Software Defined Network (SDN) is highly popular in the world because it can reduce deployment cost and time. However, the performance of Network Function Virtualiza- tion will be troubled by some congenital drawbacks. For instance, Network Function Virtualization usually suffers from I/O latency because it causes lots of interrupts that decreases CPU utilization. Although this can be solved somehow such as using SR-I/OV network card to reduce the system interrupts, the methods are still not perfect because it is not compatible with existing Software Defined Network system. For example, we often runs OpenvSwitch, an OpenFlow virtual switch supporting Software Defined Network, in general purpose server’s host OS to manage all the network packets forwarded to Virtualized Network Functions (VNFs). However, with OpenvSwitch, network packets must bypass host OS to guest OS when we use SR-I/OV network card. We will lose the benefit of SR-I/OV to enable SDN by using OpenvSwitch. Therefore, we propose an integrated architecture from a wider perspective in system design to overcome main defects described above. We modify appropriate components in SR-I/OV driver and OpenvSwitch to make Service Function Chain constructed by Virtualized Network Functions perform better and compatible with Software Defined Network environment.
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Book chapters on the topic "Low-latency services"

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Ries, Thorsten, Radu State, and Thomas Engel. "Instant Degradation of Anonymity in Low-Latency Anonymisation Systems." In Dependable Networks and Services, 98–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30633-4_12.

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Zhang, Wenli, Ke Liu, Hui Song, Lan Yu, and Mingyu Chen. "Labeled Network Stack: A Co-designed Stack for Low Tail-Latency and High Concurrency in Datacenter Services." In Lecture Notes in Computer Science, 132–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05677-3_12.

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Jiménez-Peris, R., M. Patiño-Martínez, G. Alonso, and S. Arévalo. "A Low-Latency Non-blocking Commit Service." In Lecture Notes in Computer Science, 93–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45414-4_7.

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Baresi, Luciano, Danilo Filgueira Mendonça, and Martin Garriga. "Empowering Low-Latency Applications Through a Serverless Edge Computing Architecture." In Service-Oriented and Cloud Computing, 196–210. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67262-5_15.

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Geyer, Fabien, Stefan Schneele, and Wolfgang Fischer. "Performance Evaluation of an Ethernet-Based Cabin Network Architecture Supporting a Low-Latency Service." In Lecture Notes in Computer Science, 69–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06644-8_7.

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Murty, Ravi A. "Low-Latency Solutions for Financial Services Applications." In High Performance Parallelism Pearls, 91–111. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-803819-2.00003-3.

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Takahashi, Hironao, Khalid Mahmood, and Kinji Mori. "Autonomous Decentralized Multi-Layer Cache System to Low Latency User Push Web Services." In Emerging Informatics - Innovative Concepts and Applications. InTech, 2012. http://dx.doi.org/10.5772/36515.

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K., Soumya, Margaret Mary T., and Clinton G. "Innovative Concepts and Techniques of Data Analytics in Edge Computing Paradigms." In Cases on Edge Computing and Analytics, 134–52. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4873-8.ch007.

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Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch, or other device instead of waiting for the data to be sent back to a centralized data store. Cloud computing has revolutionized how people store and use their data; however, there are some areas where cloud is limited; latency, bandwidth, security, and a lack of offline access can be problematic. To solve this problem, users need robust, secure, and intelligent on-premise infrastructure for edge computing. When data is physically located closer to the users who connected to it, information can be shared quickly, securely, and without latency. In financial services, gaming, healthcare, and retail, low levels of latency are vital for a great digital customer experience. To improve reliability and faster response times, combing cloud with edge infrastructure from APC by Schneider electrical is proposed.
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Chinthakunta, Sasikala, Shoba Bindu Chigarapalle, and Sudheer Kumar E. "The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things." In Advances in Computer and Electrical Engineering, 1–16. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3375-8.ch001.

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Typically, the analysis of the industrial big data is done at the cloud. If the technology of IIoT is relying on cloud, data from the billions of internet-connected devices are voluminous and demand to be processed within the cloud DCs. Most of the IoT infrastructures—smart driving and car parking systems, smart vehicular traffic management systems, and smart grids—are observed to demand low-latency, real-time services from the service providers. Since cloud includes data storage, processing, and computation only within DCs, huge data traffic generated from the IoT devices probably experience a network bottleneck, high service latency, and poor quality of service (QoS). Hence, the placement of an intermediary node that can perform tasks efficiently and effectively is an unavoidable requirement of IIoT. Fog can be such an intermediary node because of its ability and location to perform tasks at the premise of an industry in a timely manner. This chapter discusses challenges, need, and framework of fog computing, security issues, and solutions of fog computing for IIoT.
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Abdallah, Walid, and Noureddine Boudriga. "Design and Implementation of Optical Cloud Networks." In Cloud Technology, 808–38. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch037.

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Cloud applications have witnessed significant increase in their development and deployment. This has been driven by the low cost and high performances that can offer cloud paradigm for enterprises to implement innovative services. However, cloud services are constrained by the available transmission rate and the amount of data volume transfers provided by the current networking technologies. Optical networks can play a key role in deploying clouds with enhanced performances, thanks to the high bandwidth and the very low latency provided by optical transmission. Nevertheless, the implementation of optical cloud networks faces many challenges and obstacles, such as the user-driven service nature of cloud applications, resource virtualization, and service abstraction and control. This chapter addresses the design and the implementation of optical cloud networks. Therefore, different issues related to the integration of cloud platform in the optical networking infrastructure are described. Then, current progress achieved to overcome these challenges is presented. Finally, some open issues and research opportunities are discussed.
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Conference papers on the topic "Low-latency services"

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Freiberger-Verizon, Michael, David Templeton-Verizon, and Engel Mercado-Verizon. "Low Latency Optical Services." In National Fiber Optic Engineers Conference. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/nfoec.2012.ntu2e.1.

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Cattoni, Andrea F., Devaki Chandramouli, Cinzia Sartori, Rainer Stademann, and Paolo Zanier. "Mobile Low Latency Services in 5G." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7145936.

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Garcia-Perez, Cesar A., and Pedro Merino. "Enabling Low Latency Services on LTE Networks." In 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W). IEEE, 2016. http://dx.doi.org/10.1109/fas-w.2016.59.

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Kohari, Moiz. "Low latency requirements for financial services industry." In 2008 Workshop on High Performance Computational Finance (WHPCF). IEEE, 2008. http://dx.doi.org/10.1109/whpcf.2008.4745396.

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Alameddine, Hyame Assem, Long Qu, and Chadi Assi. "Scheduling service function chains for ultra-low latency network services." In 2017 13th International Conference on Network and Service Management (CNSM). IEEE, 2017. http://dx.doi.org/10.23919/cnsm.2017.8256017.

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Heinonen, Johanna, Pekka Korja, Tapio Partti, Hannu Flinck, and Petteri Poyhonen. "Mobility management enhancements for 5G low latency services." In 2016 ICC - 2016 IEEE International Conference on Communications Workshops (ICC). IEEE, 2016. http://dx.doi.org/10.1109/iccw.2016.7503766.

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Reiff-Marganiec, Stephan, Marcel Tilly, and Helge Janicke. "Low-Latency Service Data Aggregation Using Policy Obligations." In 2014 IEEE International Conference on Web Services (ICWS). IEEE, 2014. http://dx.doi.org/10.1109/icws.2014.80.

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Fehrenbach, Thomas, Rohit Datta, Baris Goktepe, Thomas Wirth, and Cornelius Hellge. "URLLC Services in 5G Low Latency Enhancements for LTE." In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE, 2018. http://dx.doi.org/10.1109/vtcfall.2018.8690663.

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Le Feuvre, Jean, Cyril Concolato, Nassima Bouzakaria, and Viet-Thanh-Trung Nguyen. "MPEG-DASH for Low Latency and Hybrid Streaming Services." In MM '15: ACM Multimedia Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2733373.2807977.

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Meng, Qingmin, Miao Jiang, Wenjing Yue, and Yang Meng. "A Beyond 5G Edge Network for Ultra-Low Latency Services." In 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN). IEEE, 2018. http://dx.doi.org/10.1109/i-span.2018.00028.

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