ARNAB: Transparent Service Continuity Across Orchestrated Edge Networks

Abdullaziz, Osamah Ibrahiem; Wang, Lichun; Chundrigar, Shahzoob Bilal; Huang, Kuei-Li

doi:10.1109/glocomw.2018.8644091

Cited by 6 publications

(6 citation statements)

References 18 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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: 57%

“…The workstation mounts a single Xeon E5-2620 v4 at 2.1GHz, 8 dual-threaded cores, 16GB of RAM, and dual 1GbE connections. The embedded 1 Additional results are available online [88]. board (FireFly) mounts a Rockchip RK3308 with 4 Cortex-A53 cores at 1.3GHz, 4GB of RAM, and single 100MbE connection.…”

Section: Discussionmentioning

confidence: 99%

“…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%

See 3 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

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.

show abstract

Section: Migration Of Latency-sensitive Servicesmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Overheads Evaluationmentioning

confidence: 97%

Section: Related Workmentioning

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

“…1. A preliminary and conceptual version of ARNAB is presented in [18]. In this manuscript, we analyze ARNAB in a realistic largescale campus WiFi scenario with double-tier orchestration policy.…”

Section: Introductionmentioning

confidence: 99%

Enabling Mobile Service Continuity Across Orchestrated Edge Networks

Abdullaziz

Wang

Chundrigar

et al. 2020

IEEE Trans. Netw. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

Edge networking has become an important technology for providing low-latency services to end users. However, deploying an edge network does not guarantee continuous service for mobile users. Mobility can cause frequent interruptions and network delays as users leave the initial serving edge. In this paper, we propose a solution to provide transparent service continuity for mobile users in large-scale WiFi networks. The contribution of this work has three parts. First, we propose ARNAB architecture to achieve mobile service continuity. The term ARNAB means rabbit in Arabic, which represents an Architecture for Transparent Service Continuity via Double-tier Migration. The first tier migrates user connectivity, while the second tier migrates user containerized applications. ARNAB provides mobile services just like rabbits hop through the WiFi infrastructure. Second, we identify the root-causes for prolonged container migration downtime. Finally, we enhance the container migration scheme by improving system response time. Our experimental results show that the downtime of ARNAB container migration solution is 50% shorter than that of the state-of-the-art migration.

show abstract