Elastic Multi-tenant Business Process Based Service Pattern in Cloud Computing

Sellami, Wael; Kacem, Hatem Hadj; Kacem, Ahmed Hadj

doi:10.1109/cloudcom.2014.151

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Several attempts have been made recently on BPM elasticity, usually aiming to distribute processes without taking into account multi tenancy, and consider mainly CPU and RAM such as [8], [9], [10]. In [11], Sellami et al propose a multi tenant approach based on customizable thresholds but it does not take into account migration cost or the database tier.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

Rosinosky¹,

Youcef

Charoy

2016

2016 IEEE 9th International Conference on Cloud Computing (CLOUD)

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Even though the proven benefits of cloud computing paradigm, it must face a serious problem that can compromise its commercial success. It concerns the lack of efficient approach for using optimally the available resources. For this, several approaches have been proposed. However, they suffer from several shortcomings. For instance, often only one objective is taken into account expressing all operations in terms of cost. Furthermore, business processes should be insured with elasticity and multitenancy mechanism while adjusting the available resources to the dynamic load distribution. The proposed approach aims to optimize two conflicting objectives, namely the number of migrated tenants and the cost incurred using a set of resources. It allows to take into account the multi-tenancy property and the Cloud computing elasticity, and is efficient as shown by an extensive experimentation based on real data from Bonita BPM customers.

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Section: Related Workmentioning

confidence: 99%

An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

Rosinosky¹,

Youcef

Charoy

2016

2016 IEEE 9th International Conference on Cloud Computing (CLOUD)

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“…However, it needs to add informations in the BPM schema, thus needing to alter BPM engine and the processes of the customers and do not propose a resource allocation and scheduling method. Another attempts to tackle the multi-tenant problem is done in [9] by Sellami et al They propose a multi tenant approach based on customizable thresholds, however, it does not take into account migration cost or the database tier.…”

Section: Elasticity In Bpmmentioning

confidence: 99%

Efficient Migration-Aware Algorithms for Elastic BPMaaS

Rosinosky

Youcef

Charoy

2017

Lecture Notes in Computer Science

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Abstract. As for all kind of software, customers expect to find business process execution provided as a service (BPMaaS). They expect it to be provided at the best cost with guaranteed SLA. From the BPMaaS provider point of view it can be done thanks to the provision of an elastic cloud infrastructure. The provider still have to provide the service at the lowest possible cost while meeting customers expectation. We propose a customer-centric service model that link the BPM execution requirement to cloud resources, and that optimize the deployment of customer's (or tenants) processes in the cloud to adjust constantly the provision to the needs. However, migrations between cloud configurations can be costly in terms of quality of service and a provider should reduce the number of migration. We propose a model for BPMaaS cost optimization that take into account a maximum number of migrations for each tenants. We designed a heuristic algorithm and experimented using various customer load configurations based on customer data, and on an actual estimation of the capacity of cloud resources.

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“…Although, several auto-scaling approaches have been proposed in the last few years [6,7,8,9,10], most of current auto-scaling approaches do not consider functional dependencies between application's services. Current autoscaling approaches can be categorized into two main categories: reactive and proactive approaches.…”

Section: Related Workmentioning

confidence: 99%

“…Sellami et al [7,8] have proposed threshold based autoscaling approach to offer dynamic service instances for multitenant business processes. The proposed approach considers functional dependencies between each multi-tenant process and its services during deciding scaling action.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Elasticity of SaaS Applications using Queuing Theory

Shahin¹

2017

ijacsa

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Abstract-Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented architecture model, each service is deployed in a separated virtual machine and may use one or more services to complete its task. Although, scaling service independently from its required services propagates scaling problem to other services, most of current elasticity approaches do not consider functional dependencies between services, which increases the probability of violating service level agreement. In this paper, architecture of SaaS application is modeled as multi-class M/M/m processor sharing queuing model with deadline to take into account functional dependencies between services during estimating required scaling resources. Experimental results show effectiveness of the proposed model in estimating required resources during scaling virtual resources.

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Elastic Multi-tenant Business Process Based Service Pattern in Cloud Computing

Cited by 8 publications

References 16 publications

An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

Efficient Migration-Aware Algorithms for Elastic BPMaaS

Enhancing Elasticity of SaaS Applications using Queuing Theory

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