Results 11 to 20 of about 138,378 (261)
Swarm Storm: An Automated Chaos Tool for Docker Swarm Applications [PDF]
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing\ua9 2024 held by the owner/author(s). Docker Swarm facilitates the deployment of modular applications in an independent yet interconnected manner. Applications within the Swarm communicate through Docker\u27s internal network, ensuring rapid computation
Higgins T, Jha DN, Ranjan R
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Elixir: an agent for supporting elasticity in Docker Swarm
, 2020 Summarization: Elixir is an autonomous agent that extends the capabilities of Docker Swarm in certain ways: (a) it supports monitoring of resources in real-time, (b) introduces a scheduler for balancing the workload among swarm nodes and, most ...
Petrakis Evripidis(http://users.isc.tuc.gr/~epetrakis) +3 more
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MPI Parallelization of NEUROiD Models Using Docker Swarm
2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), 2020 NEURON along with other systems simulators is increasingly being used to simulate neural systems where the complexity demands massive parallel implementations. NEURON's ParallelContext allows parallelizing models using MPI.
Mohan Raghavan +3 more
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Orkestrering i Docker - Jämförelse mellan Docker Swarm och Kubernetes
, 2020 I en värld där ny teknik introduceras hela tiden kan det ibland vara svårt att välja vilka verktyg man ska använda. För att lösa en uppgift kan det finnas en uppsjö av olika program, applikationer och redskap tillgängliga, men hur vet man vilken som är ...
Dagerfall, Pontus, Beijer, Vilhelm
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Security in Docker Swarm: orchestration service for distributed software systems [PDF]
, 2018 With a constantly increasingly number of services in modern software systems (SOA and micro services), managing such service infrastructure becomes a challenge. Docker Swarm is a popular service orchestration solution that addressed this issue.
Sæther, Didrik
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Autoscaling Method for Docker Swarm Towards Bursty Workload
Computing and Informatics, 2023 The autoscaling mechanism of cloud computing can automatically adjust computing resources according to user needs, improve quality of service (QoS) and avoid over-provision. However, the traditional autoscaling methods suffer from oscillation and degradation of QoS when dealing with burstiness.
Huang, Qichen, Wang, Song, Ding, Zhijun
openaire +3 more sources
The SIMPLE Framework for deploying containerized grid services [PDF]
EPJ Web of Conferences, 2020 The Worldwide LHC Computing Grid (WLCG) currently has about 170 sites. In order to support WLCG workloads, each site has to deploy and maintain a number of possibly complex grid services. Quite often, site managers require assistance of WLCG experts, for
Sharma Mayank +4 more
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Multi-Criteria Deep Reinforcement Learning Energy-Aware and QoS-Driven Scheduling for Containerized Microservices in Docker Swarm Clusters [PDF]
Advances in Engineering and Intelligence SystemsEfficient scheduling of containerized microservices is essential to ensure performance, scalability, and quality of service in cloud native environments.
Anil Prajapati, Manish Patel
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Sensors, 2020 Docker containers are the lightweight-virtualization technology prevailing today for the provision of microservices. This work raises and discusses two main challenges in Docker containers’ scheduling in cloud-fog-internet of things (IoT) networks.
Rocío Pérez de Prado +4 more
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, 2023 <p>Docker images spanning from ns-3.33 to ns-3.40 and WOSS from 1.12.0 to 1.12.5.</p> <p>Please read carefully the <a href="https://github.com/SENSES-Lab-Sapienza/ns3-woss-docker/blob/main/README.md">Usage ...
Giona, Emanuele
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