On Resilience of IoT Systems

Delic, Kemal A.

doi:10.1145/2822885

Cited by 23 publications

(6 citation statements)

References 2 publications

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“…By independently measuring n x and g, we extract a total heating rate as low as G x /2p = 20.6 ± 2.3 kHz at a pressure of ~10 -6 mbar. This is consistent with the separately measured heating rate due to background gas collisions (18), G gas /2p = 16.1 ± 1.2 kHz, and the expected heating contributions from photon recoil, G rec / 2p ≈ 6 kHz, and from laser phase noise, G phase / 2p < 200 Hz (24). In future experiments, reduction of decoherence can be achieved mainly by lower background pressures, but potentially also by operating at lower temperatures and using smaller cavity mode volumes.…”

supporting

confidence: 90%

“…These cavity-cooling schemes have been used in the past to achieve ground-state cooling of various systems ranging from individual atoms to cryogenically cooled modes of solid-state nano-and micromechanical oscillators in the context of cavity optomechanics (14). Previous attempts to apply cavity cooling to levitated solids have proven challenging, and cooling was limited to several hundred phonons (15)(16)(17)(18), mainly as a result of co-trapping associated with high intracavity photon number and excessive laser phase noise heating at low motional frequencies (<1 MHz) (17,18). We apply a modified scheme-cavity cooling by coherent scattering (19-21)-that circumvents these shortcomings and enables direct ground-state cooling of a solid in a roomtemperature environment.…”

mentioning

confidence: 99%

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Cooling of a levitated nanoparticle to the motional quantum ground state

Delić

Reisenbauer

Dare

et al. 2020

Science

587

519

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Quantum control of complex objects in the regime of large size and mass provides opportunities for sensing applications and tests of fundamental physics. The realization of such extreme quantum states of matter remains a major challenge. We demonstrate a quantum interface that combines optical trapping of solids with cavity-mediated light-matter interaction. Precise control over the frequency and position of the trap laser with respect to the optical cavity allowed us to laser-cool an optically trapped nanoparticle into its quantum ground state of motion from room temperature. The particle comprises 108 atoms, similar to current Bose-Einstein condensates, with the density of a solid object. Our cooling technique, in combination with optical trap manipulation, may enable otherwise unachievable superposition states involving large masses.

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supporting

confidence: 90%

mentioning

confidence: 99%

Cooling of a levitated nanoparticle to the motional quantum ground state

Delić

Reisenbauer

Dare

et al. 2020

Science

587

519

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“…In a system with devices connected to a network, resilience is responsible for maintaining or recovering the communication service between devices, regardless of network failures [110], [111]. The concept of resilience is the system's ability to resist failures [112] using recoverability (survivability), adaptability, and the capacity to manage failures [13]. Network, hardware, or software vulnerabilities can interrupt a system service, so the system must react to these failures when they occur.…”

Section: ) Resiliencementioning

confidence: 99%

A Survey on Trustworthiness for the Internet of Things

Ribeiro

Kamienski

2021

IEEE Access

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IoT systems use sensors to collect data from smart environments and manage resources through data analysis. An IoT system deals with many connected devices with different network and hardware constraints in a real-world scenario. An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions. Trustworthiness (also known as dependability) provides various features for an IoT end-to-end data flow, such as resilience, security, availability, reliability, scalability, maintainability, heterogeneity, hardware resources management, fault management policies, and data quality. This paper presents a survey on trustworthiness and dependability in IoT systems and proposes the Trustworthiness for IoT Framework (TW-IoT) to provide trustworthiness at the data level for mist and fog-based IoT systems. The TW-IoT framework provides data trustworthiness to ensure a continuous and uninterrupted operation of IoT data flow. We also discuss challenges and trade-offs related to data trustworthiness in IoT.

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“…However, certain terminology-related disagreements exist with regards to definitions and difference between Fog and Edge computing [24]- [26]. Moreover, in some works, a resilience of a system is impractically defined (partially) through the ability of a system to resist various failures [27]. One of the views is that Fog computing can be perceived as an extension of cloud computing [28].…”

Section: Edge and Fog Computingmentioning

confidence: 99%

Architectural Resilience in Cloud, Fog and Edge Systems: A Survey

Prokhorenko

Babar

2020

IEEE Access

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An increasing number of large-scale distributed systems are being built by incorporating Cloud, Fog, and Edge computing. There is an important need of understanding how to ensure the resilience of systems built using Cloud, Fog, and Edge computing. This survey reports the state-of-the-art of architectural approaches that have been reported for ensuring the resilience of Cloud-, Fog-and Edge-based systems. This work reports a flexible taxonomy for reviewing architectural resilience approaches for distributed systems. In addition, this work also presents a capability-based cyber-foraging framework intended to improve the overall system resilience in the context of a physical node's capabilities. This survey also highlights the trust-related issues and solutions in the context of system resilience and reliability. This survey will help improve the understanding of the current state of system resilience solutions and raise awareness about the issues related to physical capabilities and trust management in the context of distributed systems resilience.

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On Resilience of IoT Systems

Cited by 23 publications

References 2 publications

Cooling of a levitated nanoparticle to the motional quantum ground state

Cooling of a levitated nanoparticle to the motional quantum ground state

A Survey on Trustworthiness for the Internet of Things

Architectural Resilience in Cloud, Fog and Edge Systems: A Survey

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