SDG-Pro: a programming framework for software-defined IoT cloud gateways

Nastić, Stefan; Truong, Hong Linh; Dustdar, Schahram

doi:10.1186/s13174-015-0037-1

Cited by 23 publications

(9 citation statements)

References 26 publications

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“…In the remainder of this section, we mainly focus on the programming support for deviceless functions. More details on programmatic provisioning and governance can be found in [17].…”

Section: Programming Support For Deviceless Edge Computingmentioning

confidence: 99%

Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge

Nastić

Dustdar

2018

The Essence of Software Engineering

Self Cite

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Recently, Cloud Computing, Edge Computing, and the Internet of Things (IoT) have been converging ever stronger, sparking creation of very large-scale, geographically distributed systems [1, 2]. Such systems intensively exploit Cloud Computing models and technologies, predominantly by utilizing large and remote data centers, but also nearby Cloudlets [3, 4] to enhance resource-constrained Edge devices (e.g., in terms of computation offloading [5-7] and data staging [8]) or to provide an execution environment for cloud-centric IoT/Edge applications [9, 10]. Serverless computing is an emerging paradigm, typically referring to a software architecture where application is decomposed into "triggers" and "actions" (or functions), and there is a platform that provides seamless hosting and execution of developer-defined functions (FaaS), making it easy to develop, manage, scale, and operate them. This complexity mitigation is mainly achieved by incorporating sophisticated runtime mechanisms into serverless or FaaS platforms. Hence, such platforms are usually characterized by fully automating many of the management and operations processes. Therefore, serverless computing can be considered as the next step in the evolution of Cloud platforms, such as PaaS, or more generally of the utility computing. While originally designed for centralized cloud deployments, the benefits of serverless paradigm become especially evident in the context of Edge Computing [11]. This is mainly because in such systems, traditional infrastructure and application management solutions are tedious, ineffective, error-prone, and ultimately very costly. Luckily, some of the existing serverless techniques, such

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“…In the remainder of this section, we mainly focus on the programming support for deviceless functions. More details on programmatic provisioning and governance can be found in [17].…”

Section: Programming Support For Deviceless Edge Computingmentioning

confidence: 99%

Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge

Nastić

Dustdar

2018

The Essence of Software Engineering

Self Cite

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“…The above requires more intelligent abilities to take local decisions by fog layer to bridge the cloud and the thing, that is the reason why we consider software-defined capabilities [2] of fog layer is worth further research in terms of the key accelerator to widespread IoT Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

Zero-Knowledge Realization of Software-Defined Gateway in Fog Computing

2018

KSII TIIS

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Driven by security and real-time demands of Internet of Things (IoT), the timing of fog computing and edge computing have gradually come into place. Gateways bear more nearby computing, storage, analysis and as an intelligent broker of the whole computing lifecycle in between local devices and the remote cloud. In fog computing, the edge broker requires X-aware capabilities that combines software programmability, stream processing, hardware optimization and various connectivity to deal with such as security, data abstraction, network latency, service classification and workload allocation strategy. The prosperous of Field Programmable Gate Array (FPGA) pushes the possibility of gateway capabilities further landed. In this paper, we propose a software-defined gateway (SDG) scheme for fog computing paradigm termed as Fog Computing Zero-Knowledge Gateway that strengthens data protection and resilience merits designed for industrial internet of things or highly privacy concerned hybrid cloud scenarios. It is a proxy for fog nodes and able to integrate with existing commodity gateways. The contribution is that it converts Privacy-Enhancing Technologies rules into provable statements without knowing original sensitive data and guarantees privacy rules applied to the sensitive data before being propagated while preventing potential leakage threats. Some logical functions can be offloaded to any programmable micro-controller embedded to achieve higher computing efficiency.

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“…Differently, application-specific proxies are created on intermediate machines, such as gateways or home routers [70], [82]. These mediate the interactions between a standard business process engine and the embedded devices.…”

Section: Related Workmentioning

confidence: 99%

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

Mottola

Picco

Oppermann³

et al. 2019

IIEEE Trans. Software Eng.

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Abstract-A wide gap exists between the state of the art in developing Wireless Sensor Network (WSN) software and current practices concerning the design, execution, and maintenance of business processes. WSN software is most often developed based on low-level OS abstractions, whereas business process development leverages high-level languages and tools. This state of affairs places WSNs at the fringe of industry. The makeSense system addresses this problem by simplifying the integration of WSNs into business processes. Developers use BPMN models extended with WSN-specific constructs to specify the application behavior across both traditional business process execution environments and the WSN itself, which is to be equipped with application-specific software. We compile these models into a high-level intermediate language-also directly usable by WSN developers-and then into OS-specific deployment-ready binaries. Key to this process is the notion of meta-abstraction, which we define to capture fundamental patterns of interaction with and within the WSN. The concrete realization of meta-abstractions is application-specific; developers tailor the system configuration by selecting concrete abstractions out of the existing codebase or by providing their own. Our evaluation of makeSense shows that i) users perceive our approach as a significant advance over the state of the art, providing evidence of the increased developer productivity when using makeSense; ii) in large-scale simulations, our prototype exhibits an acceptable system overhead and good scaling properties, demonstrating the general applicability of makeSense; and, iii) our prototype-including the complete tool-chain and underlying system support-sustains a real-world deployment where estimates by domain specialists indicate the potential for drastic reductions in the total cost of ownership compared to wired and conventional WSN-based solutions.

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SDG-Pro: a programming framework for software-defined IoT cloud gateways

Cited by 23 publications

References 26 publications

Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge

Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge

Zero-Knowledge Realization of Software-Defined Gateway in Fog Computing

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

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