Establishing and Monitoring SLAs in Complex Service Based Systems

Comuzzi, Marco; Kotsokalis, Constantinos; Spanoudakis, George; Yahyapour, Ramin

doi:10.1109/icws.2009.47

Cited by 85 publications

(70 citation statements)

References 19 publications

(22 reference statements)

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“…Like in other business engagements, resource and service provisioning in Clouds are based on Service Level Agreements (SLAs), which are contracts signed between providers and their customers detailing the terms of the provisioning including non-functional requirements, such as Quality of Service (QoS) and penalties in case of violations [10], [14].…”

Section: Introductionmentioning

confidence: 99%

CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Emeakaroha

Ferreto

Netto

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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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.

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Section: Introductionmentioning

confidence: 99%

CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Emeakaroha

Ferreto

Netto

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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“…These two distinct approaches are needed: assessing risks of SLOs and KPIs, previously generated by a decision support system as SLACC, diminish possible upcoming penalties and enable CPs to be more competitive in a CC negotiation market. Moreover, the need of assessing parameters in SLAs was observed by [2] and [10]. [2] is part of the SLA@SOI project and this approach to assess SLA parameters takes into consideration historical data, i.e., what was accounted for and monitored in a Cloud.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, the need of assessing parameters in SLAs was observed by [2] and [10]. [2] is part of the SLA@SOI project and this approach to assess SLA parameters takes into consideration historical data, i.e., what was accounted for and monitored in a Cloud. For SLA hierarchies the assessment can also consider different levels of contracted SLAs (e.g., SLAs with Internet Providers or all SLAs inherent to the good functionality of a given service).…”

Section: Related Workmentioning

confidence: 99%

“…Section 2), there is no work addressing the problem of mapping low-level measures of interdependent resources into SLOs inherent to typical Cloud services. Moreover, solutions like SLA assessments [10] and SLA monitoring [2] that provide an approach of SLA assessment, do not take into consideration the CC infrastructure as whole, but very specific network parameters only.…”

Section: Introductionmentioning

confidence: 99%

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Investigations of an SLA Support System for Cloud Computing (SLACC)

Machado

Stiller

2011

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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Cloud Providers (CP) and Cloud Users (CU) need to agree on a set of parameters expressed through Service Level Agreements (SLA) for a given Cloud service. However, even with the existence of many CPs in the market, it is still impossible today to see CPs who guarantee, or at least offer, an SLA specification tailored to CU's interests: not just offering percentage of availability, but also guaranteeing, for example, specific performance parameters for a certain Cloud application. Due to (1) the huge size of CPs' IT infrastructures and (2) the high complexity with multiple inter-dependencies of resources (physical or virtual), the estimation of specific SLA parameters to compose Service Level Objectives (SLOs) with trustful Key Performance Indicators (KPIs) tends to be inaccurate. This paper investigates an SLA Support System for CC (SLACC) which aims to estimate in a formalized methodology – based on available Cloud Computing infrastructure parameters – what CPs will be able to offer/accept as SLOs or KPIs and, as a consequence, which increasing levels of SLA specificity for their customers can be reached.

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“…We classify related work on enforcement of Cloud based services into (i) monitoring of Cloud/Grid/Web services [12,15,1], (ii) SLA management including QoS management [8][9][10][11] and (iii) mapping techniques of monitored metrics to SLA parameters and attributes [20,13,14]. Since there is very little work on monitoring, SLA management, and metrics mapping in Cloud systems we look particularly into related areas such as Grid and SOA based systems.…”

Section: Related Workmentioning

confidence: 99%