Multicast Distribution System with Functions of Time-Shift and Loss-Recovery Based on In-Network Caching and OpenFlow Control

Kawasumi, Ryo; Hirota, Yusuke; Murakami, Koso; Tode, Hideki

doi:10.1109/3pgcic.2013.111

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…In ICN, multicast application scenarios with reliability requirements are ubiquitous, such as file transfer, software upgrade, and distribution of key data in the Internet of Things. Although multicast improves network bandwidth utilization by simultaneously sending information from one or more points to a group of other points [13], it does not guarantee reliable and orderly delivery of all data to each multicast receiver [14].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Cache Allocation Mechanism (DCAM) for Reliable Multicast in Information-Centric Networking

2022

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As a new network architecture, information-centric networking (ICN) decouples the identifiers and locators of network entities and makes full use of in-network cache technology to improve the content distribution efficiency. For reliable multicast, ICN in-network cache can help reduce the loss recovery delay. However, with the development of applications and services, a multicast tree node often serves multiple reliable multicast groups. How to reasonably allocate cache resources for each multicast group will greatly affect the performance of reliable multicast. In order to improve the overall loss recovery performance of reliable multicast, this paper designs a dynamic cache allocation mechanism (DCAM). DCAM considers the packet loss probability, the node depth of the multicast tree, and the multicast transmission rate of multicast group, and then allocates cache space for multicast group based on the normalized cache quota weight. We also explore the performance of three cache allocation mechanisms (DCAM, AARM, and Equal) combined with four cache strategies (LCE, CAPC, Prob, and ProbCache), respectively. Experimental results show that DCAM can adjust cache allocation results in time according to network changes, and its combinations with various cache strategies outperform other combinations. Moreover, the combination of DCAM and CAPC can achieve optimal performance in loss recovery delay, cache hit ratio, transmission completion time, and overhead.

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Section: Introductionmentioning

confidence: 99%

A Dynamic Cache Allocation Mechanism (DCAM) for Reliable Multicast in Information-Centric Networking

2022

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“…Some packets may be lost when crossing the links between multicast source and receivers. However, conventional multicast systems using the Internet only follow besteffort services [7] and cannot ensure that all multicast data is delivered to each group member reliably and orderly, which may result in a serious performance decline of the application. However, many multicast applications (e.g., critical IoT data delivery such as disaster alarms and industrial internet control commands, and distributing operating system patches or antivirus updates over the network) require that the data must be completely delivered [8].…”

Section: Introductionmentioning

confidence: 99%

Reliable Multicast Based on Congestion-Aware Cache in ICN

2021

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Reliable multicast distribution is essential for some applications such as Internet of Things (IoT) alarm information and important file distribution. Traditional IP reliable multicast usually relies on multicast source retransmission for recovery losses, causing huge recovery delay and redundancy. Moreover, feedback implosion tends to occur towards multicast source as the number of receivers grows. Information-Centric Networking (ICN) is an emerging network architecture that is efficient in content distribution by supporting multicast and in-network caching. Although ubiquitous in-network caching provides nearby retransmission, the design of cache strategy greatly affects the performance of loss recovery. Therefore, how to recover losses efficiently and quickly is an urgent problem to be solved in ICN reliable multicast. In this paper, we first propose an overview architecture of ICN-based reliable multicast and formulate a problem using recovery delay as the optimization target. Based on the architecture, we present a Congestion-Aware Probabilistic Cache (CAPC) strategy to reduce recovery delay by caching recently transmitted chunks during multicast transmission. Then, we propose NACK feedback aggregation and recovery isolation scheme to decrease recovery overhead. Finally, experimental results show that our proposal can achieve fully reliable multicast and outperforms other approaches in recovery delay, cache hit ratio, transmission completion time, and overhead.

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