1,184 research outputs found
Performance Evaluation of Microservices Architectures using Containers
Microservices architecture has started a new trend for application
development for a number of reasons: (1) to reduce complexity by using tiny
services; (2) to scale, remove and deploy parts of the system easily; (3) to
improve flexibility to use different frameworks and tools; (4) to increase the
overall scalability; and (5) to improve the resilience of the system.
Containers have empowered the usage of microservices architectures by being
lightweight, providing fast start-up times, and having a low overhead.
Containers can be used to develop applications based on monolithic
architectures where the whole system runs inside a single container or inside a
microservices architecture where one or few processes run inside the
containers. Two models can be used to implement a microservices architecture
using containers: master-slave, or nested-container. The goal of this work is
to compare the performance of CPU and network running benchmarks in the two
aforementioned models of microservices architecture hence provide a benchmark
analysis guidance for system designers.Comment: Submitted to the 14th IEEE International Symposium on Network
Computing and Applications (IEEE NCA15). Partially funded by European
Research Council (ERC) under the European Union's Horizon 2020 research and
innovation programme (grant agreement No 639595) - HiEST Projec
Orchestrating Service Migration for Low Power MEC-Enabled IoT Devices
Multi-Access Edge Computing (MEC) is a key enabling technology for Fifth
Generation (5G) mobile networks. MEC facilitates distributed cloud computing
capabilities and information technology service environment for applications
and services at the edges of mobile networks. This architectural modification
serves to reduce congestion, latency, and improve the performance of such edge
colocated applications and devices. In this paper, we demonstrate how reactive
service migration can be orchestrated for low-power MEC-enabled Internet of
Things (IoT) devices. Here, we use open-source Kubernetes as container
orchestration system. Our demo is based on traditional client-server system
from user equipment (UE) over Long Term Evolution (LTE) to the MEC server. As
the use case scenario, we post-process live video received over web real-time
communication (WebRTC). Next, we integrate orchestration by Kubernetes with S1
handovers, demonstrating MEC-based software defined network (SDN). Now, edge
applications may reactively follow the UE within the radio access network
(RAN), expediting low-latency. The collected data is used to analyze the
benefits of the low-power MEC-enabled IoT device scheme, in which end-to-end
(E2E) latency and power requirements of the UE are improved. We further discuss
the challenges of implementing such schemes and future research directions
therein
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