From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things

Aguzzi, Cristiano; Gigli, Lorenzo; Sciullo, Luca; Trotta, A.; Felice, Marco Di

doi:10.1109/access.2020.3045632

Cited by 14 publications

(5 citation statements)

References 32 publications

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“…We emphasize that the flexibility in distributing software components through the continuum pertains to deployment time rather than runtime. Nevertheless, our architecture inherently supports runtime migration since the migration of services between edge and cloud was already explored in literature [25], [26], [27]. We stress that our innovations rely not on specific algorithms but on the architectural system combining hardware and software components.…”

Section: Related Workmentioning

confidence: 99%

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Gigli,

Zyrianoff,

Zonzini

et al. 2024

IEEE Trans. Ind. Inf.

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Assessing the integrity of industrial and civil appliances has become a priority worldwide. Noteworthy, this goal requires a strong synergy between multiple tools, disciplines, and approaches to be attained via a joint hardware-software co-design of the different Structural Health Monitoring (SHM) system components. This work proposes the MAC4PRO architecture, a sensor-tocloud monitoring platform that seamlessly integrates sensing and software technologies for accurate data measurement, transmission, and analysis. The developed solution stands out for its interoperability and versatility, making it a promising candidate for integration in the next generation of smart structures. Our platform was validated during extensive experimental campaigns targeted at various industrial scenarios. The results show that the MAC4PRO architecture can identify subtle changes, such as 1mm size leakage events in pipeline circuits, or less than 1% frequency

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Section: Related Workmentioning

confidence: 99%

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Gigli,

Zyrianoff,

Zonzini

et al. 2024

IEEE Trans. Ind. Inf.

Self Cite

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“…In recent years, many solutions have been proposed for optimizing the behavior of Edge Computing systems [5]- [10]. The proposed optimizations deal with many potential issues in the compute continuum, from the Cloud to the Edge devices [11].…”

Section: Related Workmentioning

confidence: 99%

Decentralized Replica Management in Latency-Bound Edge Environments for Resource Usage Minimization

Ferrucci,

Mordacchini,

Dazzi

2024

IEEE Access

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The Internet is experiencing a fast expansion at its edges. The wide availability of heterogeneous resources at the Edge is pivotal in the definition and extension of traditional Cloud solutions toward supporting the development of new applications. However, the dynamic and distributed nature of these resources poses new challenges for the optimization of the behavior of the system. New decentralized and self-organizing methods are needed to face the Cloud-Edge scenario's needs and optimize the exploitation of Edge resources. In this paper we propose a distributed and adaptive solution that reduces the number of replicas of application services that are executed throughout the system, all the while ensuring that the latency constraints of applications are met, thus allowing also to meet the end users' QoS requirements. Experimental evaluations through simulation show the effectiveness of the proposed approach.

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“…In this context, the dynamic allocation of WTs to computational nodes is of paramount importance due to dynamicity of workloads. Aguzzi et al [2] is a pioneering work that explores such possibility by introducing the Migratable WoT (M-WoT) where the services are deployed using the WoT paradigm, supporting dynamic orchestration and stateful migration of WTs in a cloud-edge continuum.…”

Section: Web-thing-as-a-service (Wtaas)mentioning

confidence: 99%

“…To this purpose, detailed specifications related to the overall architecture, the interaction patterns and the modeling of WTs have been released [155]; however, they abstract from the way the WTs are implemented internally and from the communication technologies, hence introducing a significant advance compared to the original WoT solutions that were restricted to the usage of the HTTP protocol. Despite the recent appearance, the interest towards the W3C WoT standard is demonstrated by the increasing number of case-studies [22] [3], tools [83] [16] and enhancements [2] [99].…”

Section: Introductionmentioning

confidence: 99%

A Survey on the Web of Things

et al. 2022

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The Web of Things (WoT) paradigm was proposed first in the late 2000s, with the idea of leveraging Web standards to interconnect all types of embedded devices. More than ten years later, the fragmentation of the IoT landscape has dramatically increased as a consequence of the exponential growth of connected devices, making interoperability one of the key issues for most IoT deployments. Contextually, many studies have demonstrated the applicability of Web technologies on IoT scenarios, while the joint efforts from the academia and the industry have led to the proposals of standard specifications for developing WoT systems. Through a systematic review of the literature, we provide a detailed illustration of the WoT paradigm for both researchers and newcomers, by reconstructing the temporal evolution of key concepts and the historical trends, providing an in-depth taxonomy of software architectures and enabling technologies of WoT deployments and, finally, discussing the maturity of WoT vertical markets. Moreover, we identify some future research directions that may open the way to further innovation on WoT systems.

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From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things

Cited by 14 publications

References 32 publications

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Decentralized Replica Management in Latency-Bound Edge Environments for Resource Usage Minimization

A Survey on the Web of Things

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