OpenWolf: A Serverless Workflow Engine for Native Cloud-Edge Continuum

Sicari, Christian; Carnevale, Lorenzo; Galletta, Antonino; Villari, Massimo

doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927926

Cited by 8 publications

(4 citation statements)

References 23 publications

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“… Roopak, Yun Tian & Chambers (2019) introduced deep learning models for IoT cybersecurity, outperforming traditional machine learning algorithms. Sicari et al (2022) explored the Function as a Service paradigm for creating scientific workflows. Celesti et al (2020) proposed a telemedical laboratory service using IoT devices and Cloud computing for healthcare collaboration among professionals.…”

Section: Related Workmentioning

confidence: 99%

Framework to perform taint analysis and security assessment of IoT devices in smart cities

Bhardwaj,

Vishnoi,

Bharany

et al. 2023

PeerJ Computer Science

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The Internet of Things has a bootloader and applications responsible for initializing the device’s hardware and loading the operating system or firmware. Ensuring the security of the bootloader is crucial to protect against malicious firmware or software being loaded onto the device. One way to increase the security of the bootloader is to use digital signature verification to ensure that only authorized firmware can be loaded onto the device. Additionally, implementing secure boot processes, such as a chain of trust, can prevent unauthorized access to the device’s firmware and protect against tampering during the boot process. This research is based on the firmware bootloader and application dataflow taint analysis and security assessment of IoT devices as the most critical step in ensuring the security and integrity of these devices. This process helps identify vulnerabilities and potential attack vectors that attackers could exploit and provides a foundation for developing effective remediation strategies.

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Section: Related Workmentioning

confidence: 99%

Framework to perform taint analysis and security assessment of IoT devices in smart cities

Bhardwaj,

Vishnoi,

Bharany

et al. 2023

PeerJ Computer Science

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“…The main limitation of RADON is that it only targets cloud-based orchestration and so does not interoperate with systems that do not follow their toolkit or devices with their own platform systems, which cannot instantiate cloud jobs. In addition, some work on FaaS workflow instantiation is ongoing in the form of an open-source framework called OpenWolf 2 (Sicari et al, 2022), which shares similar principles but also the limitations of RADON.…”

Section: Related Workmentioning

confidence: 99%

Process automation instantiation for intelligence orchestration

Ramos,

Arumugam

2023

Front. Internet Things

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Devices and use case heterogeneity in Internet of Things (IoT) make it challenging to streamline the creation of processes that orchestrate devices that work interactively through actuation and sensing (data generation and data processing) toward fulfilling a goal. This raises the question of what is needed to realize this vision using serverless technologies and leveraging semantic description tools that would eventually complement standards to describe such orchestration in a similar way to microservices (e.g., using TOSCA). This study analyzes the different requirements necessary in such automation description and tests them in some practical use cases in a particular application (vertical agriculture). It also provides a set of analyzed instructions that might be incorporated into a description language or become a definition format for an automation orchestration description to provide the necessary process deployment options and interaction chains between multiple devices and data sources. These instructions are analyzed by implementing an execution deployment engine from the intelligence orchestration concept. The practical utilization of such instructions is verified and tested with the use case.

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“…However, it is impossible to use these systems everywhere since they are constrained at the providers' data centers. OpenWolf [8] was recently introduced as the first open-source serverless engine capable of building serverless applications (workflows) by composing functions using three main components: a Kubernetes heterogeneous cluster, a Broker Agent, and a workflow manifest. OpenWolf attempts to introduce serverless to the Continuum layer; however, this raises significant security concerns linked to the authorization of the execution of both the entire application (the workflow) and each of its components (the functions).…”

Section: Introductionmentioning

confidence: 99%