JOURNAL ARTICLE

Prediction-based autoscaling for container-based PaaS system

Abstract

As cloud computing becomes popular, Platform as a Service (PaaS) plays an important role in a modern cloud system. The orchestration and efficiency attract more attention and demand a more intelligent solution. In this paper, we present Next Generation PaaS (NG-PaaS) which provides resource management, application management and performance monitoring. The NG-PaaS is built on docker to enable fine-grained rapid management. There is also an intelligent scheduling system to improve the resource allocation and reduce response latency. A pre-allocation mechanism is designed to analyze and predict the application behavior to guide the specific deployment. The experiments show there are around 50% and 33% reduction in average response latency and CPU utilization respectively.

Keywords:
Cloud computing Computer science Latency (audio) Orchestration Software deployment Distributed computing Scheduling (production processes) Container (type theory) Operating system Resource allocation Embedded system Real-time computing Computer network Engineering

Metrics

2
Cited By
0.56
FWCI (Field Weighted Citation Impact)
21
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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