Network-based VM Migration Architecture in Edge Computing

Sun, Kyoungjae; Kim, Young-Han

doi:10.1145/3209914.3209930

Cited by 3 publications

(6 citation statements)

References 6 publications

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“…We believe these services are representative of edge applications by virtue of previous works [1,36,43,55,56,58,81,93]. Further, we show that H-Container handles server applications, something not supported by previous work [6,64].…”

Section: Migration Of Latency-sensitive Servicesmentioning

confidence: 55%

“…We characterized H-Container costs on a set of benchmarks collected from different projects. Based on previous works [1,36,43,55,56,58,81,93] we believe such set of benchmarks well represents compute/memory workloads that can be found at the edge. The focus on compute/memory workloads is motivated by the necessity of spotting compiler/runtime overheads, not OS ones.…”

Section: Overheads Evaluationmentioning

confidence: 97%

“…Finally, several other papers considered migration as a scheduling, mapping, and orchestration problem, including [1,43,81,93]. H-Container doesn't address these problems, but it can exploit, or be leveraged by, such works.…”

Section: Related Workmentioning

confidence: 99%

“…Containers are a form of lightweight OS-level virtualization, offering nearnative performance [12], fast invocation latencies and low memory footprints. Because of these characteristics, they are increasingly popular at the edge [21,36,57,81,93].…”

Section: Introductionmentioning

confidence: 99%

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Edge computing

Barbalace

Karaoui

Wang

et al. 2020

Proceedings of the 16th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments

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Edge computing is a recent computing paradigm that brings cloud services closer to the client. Among other features, edge computing offers extremely low client/server latencies. To consistently provide such low latencies, services need to run on edge nodes that are physically as close as possible to their clients. Thus, when a client changes its physical location, a service should migrate between edge nodes to maintain proximity. Differently from cloud nodes, edge nodes are built with CPUs of different Instruction Set Architectures (ISAs), hence a server program natively compiled for one ISA cannot migrate to another. This hinders migration to the closest node.We introduce H-Container, which migrates natively-compiled containerized applications across compute nodes featuring CPUs of different ISAs. H-Container advances over existing heterogeneous-ISA migration systems by being a) highly compatible -no source code nor compiler toolchain modifications are needed; b) easily deployable -fully implemented in user space, thus without any OS or hypervisor dependency, and c) largely Linux compliant -can migrate most Linux software, including server applications and dynamically linked binaries. H-Container targets Linux, adopts LLVM, extends CRIU, and integrates with Docker. Experiments demonstrate that H-Container adds no overhead on average during program execution, while between 10ms and 100ms are added during migration. Furthermore, we show the benefits of H-Container in real scenarios, proving for example up to 94% increase in Redis throughput when unlocking heterogeneity.CCS Concepts: • Computer systems organization → Heterogeneous (hybrid) systems; • Software and its engineering → Operating systems.

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Section: Migration Of Latency-sensitive Servicesmentioning

confidence: 55%

Section: Overheads Evaluationmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Edge computing

Barbalace

Karaoui

Wang

et al. 2020

Proceedings of the 16th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments

View full text Add to dashboard Cite

show abstract

“…Containers are a form of lightweight OS-level virtualization, offering near-native performance [18], fast invocation latencies and low memory footprints. Because of these characteristics, they are increasingly popular at the edge [30,45,69,95,110].…”

Section: Introductionmentioning

confidence: 99%

H-Container: Enabling Heterogeneous-ISA Container Migration in Edge Computing

Xing¹,

Barbalace

Olivier

et al. 2021

ACM Trans. Comput. Syst.

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Edge computing is a recent computing paradigm that brings cloud services closer to the client. Among other features, edge computing offers extremely low client/server latencies. To consistently provide such low latencies, services should run on edge nodes that are physically as close as possible to their clients. Thus, when the physical location of a client changes, a service should migrate between edge nodes to maintain proximity. Differently from cloud nodes, edge nodes integrate CPUs of different Instruction Set Architectures (ISAs), hence a program natively compiled for a given ISA cannot migrate to a server equipped with a CPU of a different ISA. This hinders migration to the closest node. We introduce H-Container, a system which migrates natively-compiled containerized applications across compute nodes featuring CPUs of different ISAs. H-Container advances over existing heterogeneous-ISA migration systems by being a) highly compatible – no user’s source-code nor compiler toolchain modifications are needed; b) easily deployable – fully implemented in user space, thus without any OS or hypervisor dependency, and c) largely Linux compliant – it can migrate most Linux software, including server applications and dynamically linked binaries. H-Container targets Linux and its already-compiled executables, adopts LLVM, extends CRIU, and integrates with Docker. Experiments demonstrate that H-Container adds no overheads during program execution, while 10 − 100 ms are added during migration. Furthermore, we show the benefits of H-Container in real-world scenarios, demonstrating for example up to \(94\% \) increase in Redis throughput when client/server proximity is maintained through heterogeneous container migration.

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