Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework

TL;DR

This paper introduces CLAMBS, a comprehensive framework for real-time monitoring and benchmarking of multi-cloud applications, ensuring QoS across diverse cloud components and providers.

Contribution

The paper presents CLAMBS, a novel cross-layer multi-cloud monitoring and benchmarking framework that supports real-time QoS management for distributed cloud applications.

Findings

CLAMBS effectively monitors application components across multiple cloud providers.

Experimental validation shows CLAMBS's efficiency on Amazon EC2 and Microsoft Azure.

Framework supports real-time QoS monitoring and benchmarking.

Abstract

Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms with features such as elasticity, pay-per-use, low upfront investment and low time to market. This has led to the proliferation of business critical applications that leverage various cloud platforms. Such applications hosted on single or multiple cloud provider platforms have diverse characteristics requiring extensive monitoring and benchmarking mechanisms to ensure run-time Quality of Service (QoS) (e.g., latency and throughput). This paper proposes, develops and validates CLAMBS:Cross-Layer Multi-Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted on multi-clouds environments. The major highlight of CLAMBS is its capability of monitoring and benchmarking individual application components such as databases and web servers, distributed across cloud layers, spread among multiple cloud providers. We validate CLAMBS using prototype implementation and extensive experimentation and show that CLAMBS efficiently monitors and benchmarks application components on multi-cloud platforms including Amazon EC2 and Microsoft Azure.