Quality-of-Service in Data Center Stream Processing for Smart City Applications

Bellavista, Paolo; Corradi, Antonio; Reale, Andrea

doi:10.1007/978-1-4939-2092-1_35

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…The QoS provided by different technologies is another challenge for smart city adoption (Bellavista et al, 2015). For instance, reliable, flexible, scalable, and fault-tolerant networks must not be compromised to achieve the objective of a smart city.…”

Section: Qosmentioning

confidence: 99%

The role of big data in smart city

Hashem

Chang

Anuar

et al. 2016

International Journal of Information Management

896

395

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The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radiofrequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the existing communication technologies and smart-based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model that can manage big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data.

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Section: Qosmentioning

confidence: 99%

The role of big data in smart city

Hashem

Chang

Anuar

et al. 2016

International Journal of Information Management

896

395

View full text Add to dashboard Cite

show abstract

“…However, not many solutions support a variety of con gurable QoS policies [14,18] such as reliability, persistence, durability, deadline based delivery, security etc., which is much needed for IIoT application domains. e OMG DDS [38] is a Topic-based publish subscribe standard which supports low latency, peer-to-peer data delivery with a variety of con gurable QoS se ings.…”

Section: Related Workmentioning

confidence: 99%

An Autonomous and Dynamic Coordination and Discovery Service for Wide-Area Peer-to-peer Publish/Subscribe

Khare

Gokhale

et al. 2017

Proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems

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Industrial Internet of ings (IIoT) applications found in domains such as smart-grids, intelligent tranportation, manufacturing and healthcare systems, are distributed and mission-critical in nature. IIoT requires a scalable data sharing and dissemination platform that supports qulaity of service properties such as timeliness, resilience, and security. Although the Object Management Group (OMG)'s Data Distribution Service (DDS), which is a data-centric, peer-to-peer publish/subscribe standard supporting multiple QoS properties, is well-suited to meet the requirements of IIoT applications, the design of OMG DDS and current technology limitations constrains its use to local area networks only. Moreover, even though broker-based bridging services exist to interconnect isolated DDS networks, these solutions lack autonomous and dynamic coordination and discovery capabilities that are needed to bridge multiple, isolated networks on demand. To address these limitations, and enable a practical and readily deployable solution for IIoT, this paper presents PubSubCoord, which is an autonomous, coordination and discovery service for DDS endpoints operating over wide area networks (WANs). Empirical results evaluating the feasibility and performance of PubSubCoord are presented for (1) scalability of data dissemination and coordination, and (2) deadlineaware overlays employing con gurable QoS to provide low-latency data delivery for topics demanding strict service requirements. CCS CONCEPTS •Computer systems organization →Cloud computing; Peerto-peer architectures; •Applied computing →Event-driven architectures;

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Quality-of-Service in Data Center Stream Processing for Smart City Applications

Cited by 2 publications

References 29 publications

The role of big data in smart city

The role of big data in smart city

An Autonomous and Dynamic Coordination and Discovery Service for Wide-Area Peer-to-peer Publish/Subscribe

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