CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Abstract

Abstract-Cloud resources and services are offered based on Service Level Agreements (SLAs) that state usage terms and penalties in case of violations. Although, there is a large body of work in the area of SLA provisioning and monitoring at infrastructure and platform layers, SLAs are usually assumed to be guaranteed at the application layer. However, application monitoring is a challenging task due to monitored metrics of the platform or infrastructure layer that cannot be easily mapped to the required metrics at the application layer. Sophisticated SLA monitoring among those layers to avoid costly SLA penalties and maximize the provider profit is still an open research challenge. This paper proposes an application monitoring architecture named CASViD, which stands for Cloud Application SLA Violation Detection architecture. CASViD architecture monitors and detects SLA violations at the application layer, and includes tools for resource allocation, scheduling, and deployment. Different from most of the existing monitoring architectures, CASViD focuses on application level monitoring, which is relevant when multiple customers share the same resources in a Cloud environment. We evaluate our architecture in a real Cloud testbed using applications that exhibit heterogeneous behaviors in order to investigate the effective measurement intervals for efficient monitoring of different application types. The achieved results show that our architecture, with low intrusion level, is able to monitor, detect SLA violations, and suggest effective measurement intervals for various workloads.

Towards Automatic Service Level Agreements Information Extraction

“…It behaves as a resource parameter reconfiguration tool at virtual machine level of cloud infrastructures, with the main advantage of reducing SLA violations and of optimizing resource utilisation. Instead, Emeakaroha et al [Emeakaroha et al, 2012a] proposed an SLA monitoring and violation detection architecture that plays at a cloud application provisioning level, where some metrics are exploited to monitor at runtime the resources consumption behaviour and the performance of the application itself. Cedillo et al presented an approach to monitor some cloud services nonfunctional SLA requirements [Cedillo et al, 2014].…”

Towards a Monitoring Middleware for Cloud Services

“…Emeakaroha et al [14] propose an application monitoring architecture named Cloud Application SLA Violation Detection architecture (CASViD). This architecture monitors and detects SLA violations at the application layer and includes tools for resource allocation, scheduling, and deployment.…”

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

“…Some of the researches highlighted the SLA violation approaches according to cloud layer-based (i.e., SaaS, PaaS, and IaaS) [14][15][16][17][18]. Furthermore, some of the researches proposed solutions for SLA violation which able to cope with all cloud layers.…”

“…In [14,18], the approaches are proposed for SaaS to detect and tackle the SLA violation for provisioned services in SaaS layer. Nevertheless, some of the researches are focused on certain application type in SaaS.…”