Design and evaluation of random linear network coding Accelerators on FPGAs

Kim, Sunwoo; Jeong, Won Seob; Ro, Won Woo; Gaudiot, Jean‐Luc

doi:10.1145/2501626.2512469

Cited by 7 publications

(4 citation statements)

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“…FPGA) that are more computationally powerful but still conserve energy [17]. The energy used in wireless transmissions is more difficult to reduce because of limitations and uncontrollable interferences.…”

Section: Results and Observationsmentioning

confidence: 99%

Network coding based bulk data synchronization in mobile ad hoc networks

Mekbungwan

Devkota

Gurung

et al. 2013

Proceedings of the 9th Asian Internet Engineering Conference

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In Mobile Ad hoc Network (MANET), Disruption Tolerant Networking (DTN) mechanisms can be used to cope with MANET disruptions as well as to improve the outcomes of bulk data dissemination in disrupted MANETs. We are interested in an emergency communication scenario where multiple OLSR-driven MANET partitions are deployed by different emergency responder teams to gather situational information. When two (or more) of such emergency responder teams reconvene for situational updates, there are strong demands to effectively disseminate and synchronize bulk data files (e.g. situational photos and revised maps) stored in the two previously separate MANET partitions in a newly joined MANET partition. Traditional multicast data dissemination in MANET is, however, very bandwidth consuming and does not suite our situation.We have conducted our research in two parts. First, we devise a novel approach that identifies the best emerging link among the newly formed MANET links [16]. Second, which is this work, we adopt and test the Random Linear Network Coding (RLNC) technique to facilitate the synchronization of bulk data files from two previously separate MANET partitions via such best emerging link. We evaluate our system through a real-world test bed. We call our approach DTNC-CAST which reflects the many-tomany bulk data file dissemination in a Network-Coded DTN-like manner for OLSR MANETs.

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Section: Results and Observationsmentioning

confidence: 99%

Network coding based bulk data synchronization in mobile ad hoc networks

Mekbungwan

Devkota

Gurung

et al. 2013

Proceedings of the 9th Asian Internet Engineering Conference

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“…FPGAs offer flexible and reconfigurable high-throughput implementations of various linear or non-linear atomic functions. For example, implementing random linear combinations over input data packets in network nodes -as part of RLNC -is considered in several recent works [57], [58]. D-AFC implementations via FPGA platforms offer seamless integration in SDN concepts, because SDN data flows can be easily filtered and fed into either internal or external FPGA units.…”

Section: B Digital-domain Atomic Function Computation (D-afc)mentioning

confidence: 99%

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT

et al. 2016

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In forthcoming years, the Internet of Things (IoT) will connect billions of smart devices generating and uploading a deluge of data to the cloud. If successfully extracted, the knowledge buried in the data can significantly improve the quality of life and foster economic growth. However, a critical bottleneck for realising the efficient IoT is the pressure it puts on the existing communication infrastructures, requiring transfer of enormous data volumes. Aiming at addressing this problem, we propose a novel architecture dubbed Condense (reconfigurable knowledge acquisition systems), which integrates the IoT-communication infrastructure into data analysis. This is achieved via the generic concept of network function computation: Instead of merely transferring data from the IoT sources to the cloud, the communication infrastructure should actively participate in the data analysis by carefully designed en-route processing. We define the Condense architecture, its basic layers, and the interactions among its constituent modules. Further, from the implementation side, we describe how Condense can be integrated into the 3rd Generation Partnership Project (3GPP) Machine Type Communications (MTC) architecture, as well as the prospects of making it a practically viable technology in a short time frame, relying on Network Function Virtualization (NFV) and Software Defined Networking (SDN). Finally, from the theoretical side, we survey the relevant literature on computing "atomic" functions in both analog and digital domains, as well as on function decomposition over networks, highlighting challenges, insights, and future directions for exploiting these techniques within practical 3GPP MTC architecture.

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“…FPGAs offer flexible and reconfigurable high-throughput implementations of linear or non-linear atomic functions. For example, FPGA implementation of random linear combinations of incoming data packets, as part of RLNC in network nodes, is recently considered in [13].…”

Section: B Digital-domain Atomic Function Computation (D-afc)mentioning

confidence: 99%

Network function computation as a service in future 5G machine type communications

Vukobratović

Jakovetić

Skachek

et al. 2016

2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)

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The 3GPP machine type communications (MTC) service is expected to contribute a dominant share of the IoT traffic via the upcoming fifth generation (5G) mobile cellular systems. MTC has ambition to connect billions of devices to communicate their data to MTC applications for further processing and data analysis. However, for majority of the applications, collecting all the MTC generated data is inefficient as the data is typically fed into application-dependent functions whose outputs determine the application actions. In this paper, we present a novel MTC architecture that, instead of collecting raw large-volume MTC data, offers the network function computation (NFC) as a service. For a given application demand (function to be computed), different modules (atomic nodes) of the communication infrastructure are orchestrated into a (reconfigurable) directed network topology, and each module is assigned an appropriately defined (reconfigurable) atomic function over the input data, such that the desired global network function is evaluated over the MTC data and a requested MTC-NFC service is delivered. We detail practical viability of incorporating MTC-NFC within the existing 3GPP architecture relying on emerging concepts of Network Function Virtualization and Software Defined Networking. Finally, throughout the paper, we point to the theoretical foundations that inspired the presented architecture highlighting challenges and future directions for designing 3GPP MTC-NFC service.

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Design and evaluation of random linear network coding Accelerators on FPGAs

Cited by 7 publications

References 0 publications

Network coding based bulk data synchronization in mobile ad hoc networks

Network coding based bulk data synchronization in mobile ad hoc networks

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT

Network function computation as a service in future 5G machine type communications

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