AutoMigrate: a framework for developing intelligent, self-managing cloud services with maximum availability

Diallo, Mamadou H.; August, Michael; Hallman, Roger A.; Kline, Megan; Slayback, Scott M.; Graves, Christopher T.

doi:10.1007/s10586-017-0900-x

Cited by 15 publications

(4 citation statements)

References 33 publications

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“…The project also describes models intended to be integrated in network topology-aware application orchestration and resource management systems from an edge computing perspective [11]. Another solution, AutoMigrate [12], incorporates a selection algorithm to determine which services should be migrated to optimize availability. Although this system has solutions for most of the problems we address, it does not resolve the single point of failure (SPOF) issue because it relies on a central service to orchestrate migrations.…”

Section: Background Knowledge and Related Workmentioning

confidence: 99%

A Blockchain Protocol for Real-Time Application Migration on the Edge

Tošić

Vičič

Burnard

et al. 2023

Sensors

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The Internet of Things (IoT) is experiencing widespread adoption across industry sectors ranging from supply chain management to smart cities, buildings, and health monitoring. However, most software architectures for the IoT deployment rely on centralized cloud computing infrastructures to provide storage and computing power, as cloud providers have high economic incentives to organize their infrastructure into clusters. Despite these incentives, there has been a recent shift from centralized to decentralized architectures that harness the potential of edge devices, reduce network latency, and lower infrastructure costs to support IoT applications. This shift has resulted in new edge computing architectures, but many still rely on centralized solutions for managing applications. A truly decentralized approach would offer interesting properties required for IoT use cases. In this paper, we introduce a decentralized architecture tailored for large-scale deployments of peer-to-peer IoT sensor networks and capable of run-time application migration. We propose a leader election consensus protocol for permissioned distributed networks that only requires one series of messages in order to commit to a change. The solution combines a blockchain consensus protocol using Verifiable Delay Functions (VDF) to achieve decentralized randomness, fault tolerance, transparency, and no single point of failure. We validate our solution by testing and analyzing the performance of our reference implementation. Our results show that nodes are able to reach consensus consistently, and the VDF proofs can be used as an entropy pool for decentralized randomness. We show that our system can perform autonomous real-time application migrations. Finally, we conclude that the implementation is scalable by testing it on 100 consensus nodes running 200 applications.

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Section: Background Knowledge and Related Workmentioning

confidence: 99%

A Blockchain Protocol for Real-Time Application Migration on the Edge

Tošić

Vičič

Burnard

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The project also describes models intended to be integrated in network topology-aware application orchestration and resource management systems from an edge computing perspective [10]. Another solution, AutoMigrate [11], incorporates a selection algorithm to determine which services should be migrated to optimize availability. Although this system has solutions for most of the problems we address, it does not resolve the Single Point Of Failure (SPOF) issue because it relies on a central service to orchestrate migrations.…”

Section: Background Knowledge and Related Workmentioning

confidence: 99%

A Blockchain-based Edge Computing Architecture for the Internet of Things

Tošić¹,

Vičič²,

Burnard³

et al. 2022

Preprint

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The Internet of Things (IoT) is experiencing widespread adoption across industry sectors ranging from supply chain management to smart cities, buildings, and health monitoring. However, most software architectures for IoT deployment rely on centralized cloud computing infrastructures to provide storage and computing power, as cloud providers have high economic incentives to organize their infrastructure into clusters. Despite these incentives, there has been a recent shift from centralized to decentralized architecture that harnesses the potential of edge devices, reduces network latency, and lowers infrastructure cost to support IoT applications. This shift has resulted in new edge computing architectures, but many still rely on centralized solutions for managing applications. A truly decentralized approach would offer interesting properties required for IoT use cases. To address these concerns, we introduce a decentralized architecture tailored for large scale deployments of peer-to-peer IoT sensor networks and capable of run-time application migration. The solution combines a blockchain consensus algorithm and verifiable random functions to ensure scalability, fault tolerance, transparency, and no single point of failure. We build on our previously presented theoretical simulations with many protocol improvements and an implementation tested in a use case related to monitoring a Slovenian cultural heritage building located in Bled, Slovenia.

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“…One of the deliverables of the project [7] describes models intended to be integrated in network topology-aware application orchestration and resource management systems from an edge computing perspective. AutoMigrate [8] incorporates a selection algorithm to determine which services should be migrated to optimize availability. Although this system has solutions for most of the problems we address, it does not resolve the Single Point Of Failure (SPOF) issue.…”

Section: Background Knowledge and Related Workmentioning

confidence: 99%

A Blockchain-based Edge Computing Architecture for the Internet of Things

Tošić¹,

Vičič²,

Burnard³

et al. 2021

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) is experiencing widespread adoption across industry sectors ranging from supply chain management to smart cities, buildings, and health monitoring. However, most software architectures for IoT deployment rely on centralized cloud computing infrastructures to provide storage and computing power, as cloud providers have high economic incentives to organize their infrastructure into clusters. Despite these incentives, there has been a recent shift from centralized to decentralized architecture that harnesses the potential of edge devices, reduces network latency, and lowers infrastructure cost to support IoT applications. This shift has resulted in new edge computing architectures, but many still rely on centralized solutions for managing applications. A truly decentralized approach would offer interesting properties required for IoT use cases. To address these concerns, we introduce a decentralized architecture tailored for large scale deployments of peer-to-peer IoT sensor networks and capable of run-time application migration. The solution combines a blockchain consensus algorithm and verifiable random functions to ensure scalability, fault tolerance, transparency, and no single point of failure. We build on our previously presented theoretical simulations with many protocol improvements and an implementation tested in a use case related to monitoring a Slovenian cultural heritage building located in Bled, Slovenia.

show abstract

AutoMigrate: a framework for developing intelligent, self-managing cloud services with maximum availability

Cited by 15 publications

References 33 publications

A Blockchain Protocol for Real-Time Application Migration on the Edge

A Blockchain Protocol for Real-Time Application Migration on the Edge

A Blockchain-based Edge Computing Architecture for the Internet of Things

A Blockchain-based Edge Computing Architecture for the Internet of Things

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