vIoT: A first step towards a shared, multi-tenant IoT Infrastructure architecture

Ahmad, Muneeb; Alowibdi, Jalal S.; Ilyas, Muhammad

doi:10.1109/iccw.2017.7962675

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…Moreover, the same logical object and its components may be made available to different users, and so there is the need to support multitenancy and shared usage [172], [173]. Multi tenancy is in fact demonstrated in the vIoT testbed [174].…”

Section: H Accountability/manageabilitymentioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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Section: H Accountability/manageabilitymentioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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“…The early version of the vIoT testbed's development (outlined in Ahmad et al 2 ) was focused on extending the deployment of OpenStack components that would enable virtualization and sharing of edge nodes, that is, the IoT infrastructure. At the time, the ability to multiplex or share sensors by multiple VMs or containers on an edge node had not been investigated yet.…”

Section: Iot‐iaas Architecturementioning

confidence: 99%

Internet‐of‐Things‐Infrastructure‐as‐a‐Service: The democratization of access to public Internet‐of‐Things Infrastructure

Ilyas

Ahmad

Saleem

2020

Int J Communication

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We propose a new cloud service model called Internet-of-Things (IoT)-Infrastructure-as-a-Service (IoT-IaaS). Under an IoT-IaaS, an IaaS cloud service provider can go beyond offering IoT data streams and offer access to IoT infrastructure to users, the same way data center infrastructure is shared in the IaaS model. We developed a reference design for the proposed IoT-IaaS cloud service model, built from open source components. We demonstrate the proposed reference design in the form of a virtualized-IoT (vIoT) testbed. The vIoT testbed uses the OpenStack cloud management system and Raspberry Pi embedded computers (standing in for IoT devices) configured as Novacompute nodes and LXD containers. We also developed a simple mechanism for shared access to high data rate sensors (a camera) and low data rate sensors (temperature-humidity) by multiple tenants. We tested the performance of container launch times, memory access (with and without ZRAM optimization kernel module enabled), CPU, and file I/O for applications running inside Linux containers and compared it with the same performance when running on the Raspberry Pi's host OS. We conclude that there is no significant performance penalty for executing the edge component of an IoT application inside a Linux container, rather than directly on the device's host OS.

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“…As a consequence of the advances in the IoT domain, attention started to shift from designing architectures relying on dedicated infrastructure to new trends of design using shared and distributed infrastructure [3,14]. Hence, our case reference is that a single infrastructure provider deploy a set of smart devices for the public use as a shared hardware where any user can deploy his software and data over a custom IoT device for a period of time.…”

Section: Adversarial Modelmentioning

confidence: 99%

Speed

Ammar

Daniels

Crispo

et al. 2018

Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy

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The Internet of Things (IoT) consists of embedded devices that sense and manage our environment in a growing range of applications. Large-scale IoT systems such as smart cities require significant investment in both equipment and personnel. To maximize return on investment, IoT platforms should support multiple third-party applications and adaptation of infrastructure over time. Realizing the vision of shared IoT platforms demands strong security guarantees. That is particularly challenging considering the limited capability and resource constraints of many IoT devices.In this paper, we present SPEED, an approach to secure erasure with verifiability in IoT. Secure erasure is a fundamental property when it comes to share an IoT platform with other users which guarantees the cleanness of a device's memory at the beginning of the application deployment as well as at the time of releasing the underlying IoT device. SPEED relies on two security primitives: memory isolation and distance bounding protocol. We evaluate the performance of SPEED by implementing it on a simple baremetal IoT device belongs to Class-1. Our evaluation results show a limited overhead in terms of memory footprint, time, and energy consumption.

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vIoT: A first step towards a shared, multi-tenant IoT Infrastructure architecture

Cited by 10 publications

References 6 publications

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Internet‐of‐Things‐Infrastructure‐as‐a‐Service: The democratization of access to public Internet‐of‐Things Infrastructure

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