Mobile web and cloud services enabling Internet of Things

Srirama, Satish Narayana

doi:10.1007/s40012-016-0139-3

Cited by 21 publications

(11 citation statements)

References 45 publications

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“…Correspondingly, IoT has evolved as "web 4.0 and beyond" and "Industry 4.0", where physical objects with sensing and actuator capabilities, along with the participating individuals, are connected and communicate over the Internet [198]. There are predictions that billions of such devices/things will be connected using advances in building innovative physical objects and communication protocols [72].…”

Section: Interconnected Cloudsmentioning

confidence: 99%

“…Cloud primarily helps IoT by providing resources for the storage and distributed processing of the acquired sensor data, in different scenarios. While this Cloud-centric IoT model [198,103] is interesting, it ends up with inherent challenges such as network latencies for scenarios with sub-second response requirements. An additional aspect that arises with IoT devices is their substantial energy consumption, which can be mitigated by the use of renewable energy [89], but this in turn raises the issue of QoS as the renewable energy sources are generally sporadic.…”

Section: Interconnected Cloudsmentioning

confidence: 99%

“…Regarding future directions for empowering resource-constrained devices, in the mobile Cloud domain, we already have identified that, while task delegation is a reality, code offloading still has adaptability issues. It is also observed that, "as the device capabilities are increasing, the applications that can benefit from the code offloading are becoming limited" [198]. This is evident, as the capabilities of smartphones are increasing, to match or benefit from offloading, the applications are to be offloaded to Cloud instances with much higher capacity.…”

Section: Empowering Resource-constrained Devicesmentioning

confidence: 99%

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A Manifesto for Future Generation Cloud Computing

et al. 2018

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The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to * Corresponding

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Section: Interconnected Cloudsmentioning

confidence: 99%

Section: Interconnected Cloudsmentioning

confidence: 99%

Section: Empowering Resource-constrained Devicesmentioning

confidence: 99%

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A Manifesto for Future Generation Cloud Computing

et al. 2018

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“…There is not a unified definition of the term yet. Some authors define it as a symbiotic web with interactions between humans and machines (Aghaei, 2012; Choudhury, 2014), many stated that there will be an important role of IoT technologies (Nath and Iswary, 2016;Srirama, 2017), and some mention the important role of Big Data technologies (Peinl, 2016). Taking everything into account, until there is a real artificial intelligence which understands human language, the semantics on the web is crucial.…”

Section: Introductionmentioning

confidence: 99%

Creation, Storage and Presentation of Information Content – Semantics, Sharing, Presentation, and Archiving

Masner

Šimek

Kánská

et al. 2019

AOL

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People are getting more and more used to consume a digital, online content. Many outlets switched to online publication or at least increased their online presence. Besides, online publication is not the only domain of publishing houses. Many different organisations and companies-including those from area of agriculture and rural development-provide online content in form of articles. Importance of semantic web is growing constantly. Together with metadata descriptions, it is necessary for all the current search engines, smart assistants and AI technologies. Public standards and open source software can significantly speed up development and reduce costs when it comes to the Internet and World Wide Web. The paper provides overview of an updated methodology for creation, storage and presentation of online information content in World Wide Web environment. The latest research was focused mainly on presentation and semantics. The whole research process is established as well as the final formulation of the methodology.

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“…These Things generate an enormous number of messages. Governments and societies benefit from these messages to improve the quality-of-life of end users [6]. Messages from Things can be analyzed and processed using Data in Motion (DM) technique that is introduced by IBM to provide analyzing messages without to need storing it [7][8].…”

Section: Introductionmentioning

confidence: 99%

IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing

Al-Joboury¹,

Al-Hemiary²

2018

EAI Endorsed Trans IoT

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The work in this paper tries to enhance the performance of IoT by modifying the Cloud based architecture in terms of storage, processing, and Load Balancing (LB). The assumption is as follows: In a single Fog server, high traffic coming from Things may cause packet loss which in turn affect the overall IoT performance. To overcome such a situation, LB on Fog layer is proposed and implemented practically using virtualization technology. The proposed IoT based Fog-To-Cloud and Data-in-Motion with LB (IoT-F2CDM-LB) architecture consists of two load balancers; HAProxy and Server Load Balancing (SLB), are used to distribute messages from Things to four virtualized Fog servers according to Least Connection technique. The implementation is carried out using VirtualBox and GNS3. Message Queue Telemetry Transport (MQTT) protocol is used to transfer messages between layers. Both load balancers result in packet loss reduction by 50%, lower response time and higher throughput.

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Mobile web and cloud services enabling Internet of Things

Cited by 21 publications

References 45 publications

A Manifesto for Future Generation Cloud Computing

A Manifesto for Future Generation Cloud Computing

Creation, Storage and Presentation of Information Content – Semantics, Sharing, Presentation, and Archiving

IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing

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