A Platform-as-a-Service for in-situ development of wireless sensor network applications

Ding, Yong; Neumann, Martín; Gordon, Dawud; Riedel, Till; Miyaki, Takashi; Beigl, Michael; Zhang, Wenzhu; Zhang, Lin

doi:10.1109/inss.2012.6240527

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…A Cloud Platform useful for supporting the Fully Connected Car system is presented by Dingo et al 7 . The architecture is at very high level, in which telco and Cloud operators are included in the picture.…”

Section: Related Workmentioning

confidence: 99%

Big Data Storage in the Cloud for Smart Environment Monitoring

Fazio

Celesti

Puliafito

et al. 2015

Procedia Computer Science

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Monitoring activities detect changes in the environment and can be used for several purpose. To develop new advanced services for smart environments, data gathered during the monitoring need to be stored, processed and correlated to different pieces of information that characterize or influence the environment itself. In this paper we propose a Cloud storage solution able to store huge amount of heterogeneous data, and provide them in a uniform way. To this aim, we adopt an hyrid architecture that couple Document and Object oriented strategies, in order to optimize data storage, querying and retrieval. In this paper, we present the architecture design and discuss some implementation details in the development of the architecture within a specific use case.

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Section: Related Workmentioning

confidence: 99%

Big Data Storage in the Cloud for Smart Environment Monitoring

Fazio

Celesti

Puliafito

et al. 2015

Procedia Computer Science

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“…The selection of their related topics was motivated by the obtained evaluation results. YES Partially NO YES YES NO [30] NO NO YES NO NO NO [31] NO NO NO NO NO NO [32] NO YES YES NO NO NO [33] YES Partially YES YES YES NO [34] Partially NO Partially NO NO Partially [35] YES NO YES NO NO Partially [36] NO NO NO NO NO NO [37] NO NO NO NO NO NO [38] YES NO YES NO YES YES…”

Section: Research Directionsmentioning

confidence: 99%

“…PaaS for WSNIn[34], the authors propose Dinam Cloud, the PaaS for on-demand WSN end-user applications development, deployment, configuration and monitoring. The Dinam Cloud architecture consists of three layers, following the three service delivery layers of the cloud architecture: IaaS, PaaS and SaaS.…”

mentioning

confidence: 99%

A Panorama of Cloud Platforms for IoT Applications Across Industries

Yangui

2020

Sensors

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Internet of Things (IoT) applications can play a critical role in business and industry. Industrial IoT (IIoT) refers to the use of IoT technologies in manufacturing. Enabling IIoT applications in cloud environments requires the design of appropriate IIoT Platform as-a-Service (IIoT PaaS) to support and ease their provisioning (i.e., development, deployment and management). This paper critically reviews the IIoT PaaS architectures proposed so far in the relevant literature. It only surveys the architectures that are suitable for IIoT applications provisioning and it excludes regular IoT solutions from its scope. The evaluation is based on a set of well-defined architectural requirements. It also introduces and discusses the future challenges and the research directions. The critical review discusses the PaaS solutions that focus on the whole spectrum of IoT verticals and also the ones dealing with specific IoT verticals. Existing limitations are identified and hints are provided on how to tackle them. As critical research directions, the mechanisms that enable the secure provisioning, and IIoT PaaS interaction with virtualized IoT Infrastructure as-a-Service (IaaS) and fog computing layer are discussed.

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“…Although some other systems have used varied strategies for proposing different frameworks for different case studies. As [8] has proposed a cloud platform for fully coherent car system. A similar but more amplified architecture has been proposed in [9] and is known as…”

Section: Related Workmentioning

confidence: 99%

An Efficient Framework for Creating Twitter Mart on a Hybrid Cloud

Khan¹,

Naqvi²,

Alam³

et al. 2017

IJITCS

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Abstract-The contemporary era of technological quest is buzzing with two words -Big Data and Cloud Computing. Digital data is growing rapidly from Gigabytes (GBs), terabytes (TBs) to Petabytes (PBs), and thereby burgeoning data management challenges. Social networking sites like Twitter, Facebook, Google+ etc generate huge data chunks on daily basis. Among them, twitter masks as the largest source of publicly available mammoth data chunks intended for various objectives of research and development. In order to further research in this fast emerging area of managing Big Data, we propose a novel framework for doing analysis on Big Data and show its implementation by creating a "Twitter Mart" which is a compilation of subject specific tweets that address some of the challenges for industries engaged in analyzing subject specific data. In this paper, we adduce algorithms and an holistic model that aids in effective stockpiling and retrieving data in an efficient manner.

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A Platform-as-a-Service for in-situ development of wireless sensor network applications

Cited by 5 publications

References 13 publications

Big Data Storage in the Cloud for Smart Environment Monitoring

Big Data Storage in the Cloud for Smart Environment Monitoring

A Panorama of Cloud Platforms for IoT Applications Across Industries

An Efficient Framework for Creating Twitter Mart on a Hybrid Cloud

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