Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system

Lu, Kuan; Yahyapour, Ramin; Wieder, Philipp; Yaqub, Edwin; Abdullah, M.K.; Schloer, Bernd; Kotsokalis, Constantinos

doi:10.1016/j.future.2015.03.016

Cited by 50 publications

(20 citation statements)

References 12 publications

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“…If the problem cannot be, the framework informs the upper layer for possible remedial action. Lu et al [23] proposed an actor system framework that adopts a parent-child relationship for managing SLA violation. When the actor system detects a possible SLA violation, it first tries to resolve it, and then sends the error information to the upper parent actor if it is unable to do so.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The proposed approach has the features of runtime adaptability of resource provision, estimation, and decision taking. Although the self-management approaches [18,22,23] attempt to adjust violations when they are detected by the system, they do not suggest what action to take to avoid violation occurring. Moreover, these approaches lack the agreement process in the pre-interaction phase of SLA management.…”

Section: Literature Reviewmentioning

confidence: 99%

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Risk-based framework for SLA violation abatement from the cloud service provider’s perspective

Hussain

et al. 2018

The Computer Journal

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The constant increase in the growth of the cloud market creates new challenges for cloud service providers. One such challenge is the need to avoid possible SLA violations and their consequences through good SLA management. Researchers have proposed various frameworks and have made significant advances in managing SLAs from the perspective of both cloud users and providers. However, none of these approaches guides the service provider on the necessary steps to take for SLA violation abatement; that is, the prediction of possible SLA violations, the process to follow when the system identifies the threat of SLA violation, and the recommended action to take to avoid SLA violation. In this paper, we approach this process of SLA violation detection and abatement from a risk management perspective. We propose a Risk Management-based Framework for SLA violation abatement (RMF-SLA) following the formation of an SLA which comprises SLA monitoring, violation prediction, and decision recommendation. Through experiments, we validate and demonstrate the suitability of the proposed framework for assisting cloud providers to minimize possible service violations and penalties.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Risk-based framework for SLA violation abatement from the cloud service provider’s perspective

Hussain

et al. 2018

The Computer Journal

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“…When working in incident management activities, managers need to understand the actions to take and the life cycle of the incident, which includes detection and recording, user support, investigation and diagnosis, resolution and recovery of service, incident ownership, monitoring, and communication (OGC, 2007). According to Lu et al (2016), service level agreements (SLAs) have been proposed as contracts used to record the rights and obligations of service providers and their customers, including the fault-tolerance concerns and strategies. Hanemann, Sailer and Schmitz (2004) state that to avoid SLA violations, managers should identify the root cause of a fault in a very short time or even act proactively.…”

Section: Introductionmentioning

confidence: 99%

Support for incident management in optical networks through critical points identification

et al. 2019

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In incident management for optical networks, when a fault or event occurs, a network element will often send a notification, in the form of an “alarm”, to operators and managers. Alarms contain valuable information to support the fault management process at the operating level, because it is a persistent indication of a fault. Alarms usually clear only with the triggering of the solution for its cause. To mitigate business risks related to faults in optical networks, service managers need to estimate the impact of a network fault in relation to business needs. In optical networks, identifying redundancy points of high-impact on the network is still a challenge for managers. They often rely on their own experience to prioritize points that possibly need to have redundancy in those networks. This work presents a simulation model capable of locating suitable points for the application of asset redundancy to reduce optical network disruptions, based on business risk. The model is implemented in a software tool and then used in a case study of two reference networks, whose elements may fail according to a realistic failure scenario. Results of the study allow face validity with preliminary evidence that the model is useful to support incident management in optical networks.

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“…Cloud computing is a promised paradigm that offers simple, flexible, scalable and a costeffective outsourcing type of services, such as application development and hosting to customers on demand and who then pay per utilization. The Service Level Agreement (SLA) is an agreement that illustrates the level of performance assured by the provider on the user's side (Lu et al, 2016). In the current scenario, the SLA technique plays a major role that brings the confidence to the user, prompts business policies and ensures the Quality of Service (QoS) on the user's side.…”

Section: Introductionmentioning

confidence: 99%

Framework for Ranking Service Providers of Federated Cloud Architecture using Fuzzy Sets

Aruna¹,

Aramudhan²

2016

IJTech

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Federated Cloud Architecture is a heterogeneous and distributed model that provides infrastructures related to the cloud by aggregating different Infrastructure-as-a-Service (IaaS) providers. In this case, it is an exciting task to select the optimal service cloud provider for the customer and then deploy it. In this paper, a new provider discovery algorithm and fuzzy sets ranking model is proposed in the modified federated architecture and then the performance is evaluated. The proposed discovery method shortlists the provider based on the Quality of Service (QoS) indicators suggested by the Service Measurement Index (SMI) with the Service Level Agreement (SLA) that provides improved performance. In addition to that, the cost is also included that represents the fulfillment at the level of the end user. The ranking mechanism is based on a Fuzzy set approach, having three general phases, such as problem decomposition, judgment of priorities and an aggregation of these priorities. With some simple rules, the fuzzy set may be combined with the QoS indicators. The Weighted Tuned Queuing Scheduling (WTOS) Algorithm is proposed to resolve the issue of starvation in the existing architecture and manage the requests effectively. Experimental results show that the proposed architecture has a better successful selection rate, average response time and less overhead, compared to the existing architecture that had supported the Cloud environment.

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Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system

Cited by 50 publications

References 12 publications

Risk-based framework for SLA violation abatement from the cloud service provider’s perspective

Risk-based framework for SLA violation abatement from the cloud service provider’s perspective

Support for incident management in optical networks through critical points identification

Framework for Ranking Service Providers of Federated Cloud Architecture using Fuzzy Sets

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