Advanced caching for distributing sensor data through programmable nodes

Femminella, Mauro; Reali, Gianluca; Valocchi, Dario; Francescangeli, R.; Schulzrinne, Henning

doi:10.1109/lanman.2013.6528285

Cited by 9 publications

(8 citation statements)

References 15 publications

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“…Recently, several works have discussed applying Information Centric Networking (ICN) to IoT [15,16,17]. The IoT devices can benefit from this network paradigm in terms of power consumption, especially in multi-hop networks.…”

Section: Discussionmentioning

confidence: 99%

Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

Chang

Wang

et al. 2016

Sensors

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Message Queuing Telemetry Transport for Sensor Networks (MQTT-SN) and Constrained Application Protocol (CoAP) are two protocols supporting publish/subscribe models for IoT devices to publish messages to interested subscribers. Retransmission mechanisms are introduced to compensate for the lack of data reliability. If the device does not receive the acknowledgement (ACK) before retransmission timeout (RTO) expires, the device will retransmit data. Setting an appropriate RTO is important because the delay may be large or retransmission may be too frequent when the RTO is inappropriate. We propose a Gateway-assisted CoAP (GaCoAP) to dynamically compute RTO for devices. Simulation models are proposed to investigate the performance of GaCoAP compared with four other methods. The experiment results show that GaCoAP is more suitable for IoT devices.

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Section: Discussionmentioning

confidence: 99%

Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

Chang

Wang

et al. 2016

Sensors

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“…Femminella et al proposed an architecture based on distributed caching for the distribution of dynamic sensor data [36]. The authors utilized NetServ hosting environment to perform service modularization and virtualization of network nodes, implemented with an aim of extending the functions of network nodes.…”

Section: Related Workmentioning

confidence: 99%

Optimal Content Caching in Content-Centric Networks

Qazi

Khalid

Rais

et al. 2019

Wireless Communications and Mobile Computing

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Content-Centric Networking (CCN) is a novel architecture that is shifting host-centric communication to a content-centric infrastructure. In recent years, in-network caching in CCNs has received significant attention from research community. To improve the cache hit ratio, most of the existing schemes store the content at maximum number of routers along the downloading path of content from source. While this helps in increased cache hits and reduction in delay and server load, the unnecessary caching significantly increases the network cost, bandwidth utilization, and storage consumption. To address the limitations in existing schemes, we propose an optimization based in-network caching policy, named as opt-Cache, which makes more efficient use of available cache resources, in order to reduce overall network utilization with reduced latency. Unlike existing schemes that mostly focus on a single factor to improve the cache performance, we intend to optimize the caching process by simultaneously considering various factors, e.g., content popularity, bandwidth, and latency, under a given set of constraints, e.g., available cache space, content availability, and careful eviction of existing contents in the cache. Our scheme determines optimized set of content to be cached at each node towards the edge based on content popularity and content distance from the content source. The contents that have less frequent requests have their popularity decreased with time. The optimal placement of contents across the CCN routers allows the overall reduction in bandwidth and latency. The proposed scheme is compared with the existing schemes and depicts better performance in terms of bandwidth consumption and latency while using less network resources.

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“…Thus, our approach consists of leveraging on the CDN ability to deliver large files and introducing a suitable dynamic caching that allows the CDN to cache the content in geographically diverse areas (see also our previous work [8]). This dynamicity will be exploited for handling both genomic data caches and for suitably locating computing nodes processing genomic data, in a mutual attraction fashion.…”

Section: Progress Beyond the State Od The Artmentioning

confidence: 99%

“…We have implemented an application module, named ActiveCDN that implements CDN functionality on NetServenabled nodes, which is an improved version of the cache module presented in [8], which proposes to deploy ActiveCDN bundles on all the NetServ nodes on the path between the information repository and the node requesting the content, by using the NSIS on-path signaling. Also in the ARES service architecture, an ActiveCDN module is instantiated by a NetServ node having the role of content provider, having the full control of the placement of the ActiveCDN modules.…”

Section: B Virtualized Service Architecture In Popsmentioning

confidence: 99%

See 1 more Smart Citation

The ARES Project: Network Architecture for Delivering and Processing Genomics Data

Femminella

Reali

Valocchi

et al. 2014

2014 IEEE 3rd Symposium on Network Cloud Computing and Applications (Ncca 2014)

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This paper shows the network solutions proposed and implemented in the framework of the project ARES. The strategic objective of ARES is to create an advanced CDN, accessible through a cloud interface, supporting medical and research systems making a large use of genomic data. The expected achievements consist of identifying suitable management policies of genomic contents in a cloud environment, in terms of efficiency, resiliency, scalability, and QoS in a distributed fashion using a multi-user CDN approach. The experimental architecture envisages the use of the following key elements: a wideband networking infrastructure, a resource virtualization software platform, a distributed service architecture, including suitable computing and storage infrastructure, a distributed software platform able to ingest, validate, and analyze high volumes of data, a software engine executing a sophisticated intelligence for workload distribution and CDN provisioning.

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Advanced caching for distributing sensor data through programmable nodes

Cited by 9 publications

References 15 publications

Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

Optimal Content Caching in Content-Centric Networks

The ARES Project: Network Architecture for Delivering and Processing Genomics Data

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