Lipsin

Jokela, Petri; Zahemszky, Andras; Rothenberg, Christian Esteve; Arianfar, Somaya; Nikander, Pekka

doi:10.1145/1594977.1592592

Cited by 126 publications

(10 citation statements)

References 33 publications

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“…The full decoupling in time, space and synchronization between publishers and subscribers [22,23] makes pub/sub systems especially appropriate for large-scale distributed IoT service deployments. Pub/sub systems are divided into several variations in the light of different subscription mechanisms, such as topic-based [24,25,26], content-based [27,28,29] and type-based [30,31] pub/sub systems. In the topic-based pub/sub scheme, events are classified by topics, the group communication notion is used.…”

Section: Related Workmentioning

confidence: 99%

Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware

Shi

Zhang

Jacobsen

et al. 2019

Sensors

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At present, most publish/subscribe middlewares suppose that there are equal Quality of Service (QoS) requirements for all users. However, in many real-world Internet of Things (IoT) service scenarios, different users may have different delay requirements. How to provide reliable differentiated services has become an urgent problem. The rise of Software-Defined Networking (SDN) provides endless possibilities to improve the QoS of publish/subscribe middlewares due to its greater programmability. We can encode event topics and priorities into flow entries of SDN switches directly to meet customized requirements. In this paper, we first propose an SDN-like publish/subscribe middleware architecture and describe how to use this architecture and priority queues supported by OpenFlow switches to realize differentiated services. Then we present a machine learning method using the eXtreme Gradient Boosting (XGBoost) model to solve the difficult issue of getting the queuing delay of switches accurately. Finally, we propose a reliable differentiated services guarantee mechanism according to the queuing delay and the programmability of SDN to improve QoS, namely, a two-layer queue management mechanism. Experimental evaluations show that the delay predicted by the XGBoost method is closer to the real value; our mechanism can save end-to-end delay, reduce packet loss rate, and allocate bandwidth more reasonably.

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Section: Related Workmentioning

confidence: 99%

Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware

Shi

Zhang

Jacobsen

et al. 2019

Sensors

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show abstract

“…Several existing schemes propose a publish-subscribe architecture [23][24][25]. However, this approach is vulnerable to denial of service attacks, as it allows more than one data packet per content request, not preserving the flow balance provided by NDN approach.…”

Section: Related Workmentioning

confidence: 99%

Evaluating CRoS-NDN: a comparative performance analysis of a controller-based routing scheme for named-data networking

Torres

Alvarenga

Boutaba

et al. 2019

J Internet Serv Appl

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The huge amount of content names available in Named-Data Networking (NDN) challenges both the required routing table size and the techniques for locating and forwarding information. Content copies and content mobility exacerbate the scalability challenge to reach content in the new locations. We present and analyze the performance of a proposed Controller-based Routing Scheme, named CRoS-NDN, which preserves NDN features using the same interest and data packets. CRoS-NDN supports content mobility and provides fast content recovery from copies that do not belong to the consumer-producer path because it splits identity from location without incurring FIB size explosion or supposing prefix aggregation. It provides features similar to Content Distribution Networks (CDN) in NDN, and improves the routing efficiency. We compare our proposal with similar routing protocols and derive analytical expressions for lower-bound efficiency and upper-bound latency. We also conduct extensive simulations to evaluate results in data delivery efficiency and delay. The results show the robust behavior of the proposed scheme achieving the best efficiency and delay performance for a wide range of scenarios. Furthermore, CRoS-NDN results in low use of processing time and memory for a growing number of prefixes.

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“…Existing ICN proposals [2,3,4] build ICN architectures upon content abstraction. For example, NDN adopts a distributed name based routing mechanism, and maintains forwarding information base, pending interest table, as well as content store in each network nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Intra-area routing and forwarding is done according to the rules of the local DHT algorithms, while inter-area routing is done by the node in both the local DHT and the next higher level DHT [11]. PURSUIT shifts the current send-receive based Internet toward the new publish-subscribe paradigm, and uses the rendezvous network to perform name resolution and data forwarding [4]. These proposals share some commonalities in the perspectives of basic primitives, name based routing, universe in-networking caching, etc [3].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

SD-ICN: Toward Wide Area Deployable Software Defined Information Centric Networking

2016

KSII TIIS

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Information Centric Networking that uses content name instead of IP address as routing identifier can handle challenges such as traffic explosion and user mobility, but it also suffers from scalability and incompatibility problems. In this paper by combining the concept of software defined networking and Internet end to end arguments, we propose a wide area deployable software defined information centric networking service model named SD-ICN. SD-ICN employs a dual space structure that separates edge service network and core transmission network. The enhanced SDN techniques are used in edge service network in order to implement intelligent data routing and caching, while traditional IP technique is reserved in core transmission network so as to provide wide area high speed data transmission. Besides, a distributed name resolution system based on the cooperation of different controllers is also presented. The prototype experiments in our campus network show that SD-ICN can be deployed in a scalable and incremental way with no modification of the core network, and can support typical communication modes such as multicast, mobility, multihoming, load balancing, and multipath data transmission effectively.

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Lipsin

Cited by 126 publications

References 33 publications

Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware

Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware

Evaluating CRoS-NDN: a comparative performance analysis of a controller-based routing scheme for named-data networking

SD-ICN: Toward Wide Area Deployable Software Defined Information Centric Networking

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