SLA-Based Planning for Multi-Domain Infrastructure as a Service

Lu, Kuan; Röblitz, Thomas; Chronz, Peter; Kotsokalis, Constantinos

doi:10.1007/978-1-4614-2326-3_13

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…Lu et al [6] take another perspective on the problem of SLA-based planning by considering how to optimise decisions to outsource infrastructure demands to subcontractors. Their optimisation problem considers the costs, profitability and SLA failure risks associated with outsourcing.…”

Section: Related Workmentioning

confidence: 99%

“…Although these opportunities continue to be acknowledged in the literature ( [3], [4], [5], [6]), there is still a need for comprehensive solutions that deal with (1) distributed applications with interdependencies and (2) alignment of technical and business requirements for infrastructure expressed in SLAs. We define this need as dynamic application topology orchestration, where an application topology is a structural specification of how distributed services are to be deployed and interconnected on any selected execution environment (see section III-A for a formal description).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Topology Orchestration for Distributed Cloud-Based Applications

Antonescu

Robinson

Braun

2012

2012 Second Symposium on Network Cloud Computing and Applications

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This paper describes a specification language and architecture for managing distributed software and mapped compute, storage and network infrastructure services dynamically, beyond the state of the art in cloud computing. This is referred to as dynamic application topology orchestration, where the mapping and configuration of distributed, interconnected, interdependent application services and infrastructure resources are dynamically adjusted, according to guarantees in Service Level Agreements (SLAs) and operational constraints. The viability and benefits of this architectural approach are compared against simpler strategies, to establish technical and business cases for the associated engineering effort.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Topology Orchestration for Distributed Cloud-Based Applications

Antonescu

Robinson

Braun

2012

2012 Second Symposium on Network Cloud Computing and Applications

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“…Lu et al [98] take another perspective on the problem of SLA-based planning by considering how to optimise decisions to outsource infrastructure demands to subcontractors. Their optimisation problem considers the costs, profitability and SLA failure risks associated with outsourcing.…”

Section: Cloud Computingmentioning

confidence: 99%

Service level agreements-driven management of distributed applications in cloud computing environments

Antonescu

Braun

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…As Lu et al (2011) argued that IaaS SPs are able to compute the minimum implementation costs as part of price quotations towards customers, in order to remain competitive. At the same time, profit and SLA violation probability constraints are used to decide whether the problem can be satisfied at all, and what is the decision space based on which implementation costs can be calculated.…”

Section: Modeling Of Sla Pricing and Penaltymentioning

confidence: 99%

“…Here, we assume that the corresponding planning and optimization strategies implemented by Lu et al (2011) are fully applied but not explained in detail in order to keep the paper reasonably concise. In brief, the objective of the approach is to minimize implementation and outsourcing costs for reasons of competitiveness, while respecting business policies for profit and risk.…”

Section: Modeling Of Sla Pricing and Penaltymentioning

confidence: 99%

QoS-Based Resource Allocation Framework for Multi-Domain SLA Management in Clouds

Yahyapour

Wieder

et al. 2013

STCC

Self Cite

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In clouds, current virtualization technologies of IaaS enable the live migration of running VMs to achieve load balancing, fault-tolerance and hardware consolidation in data centers. However, the downtime / service unavailability due to live migration may be substantial with relevance to the customers' expectations on responsiveness, as the latter are declared in established SLAs, which define all relevant aspects of the services between service provider and customer. Moreover, the service unavailability may cause significant (potentially exponential) SLA violation penalties to its associated higher-level domains (e.g., PaaS and SaaS). Therefore, in order to deliver high availability service, VM live migration should be arranged and managed carefully. In this paper, we present the OpenStack version of Generic SLA Manager, alongside its strategies for VM selection and allocation during live migration of VMs. Based on the proposed autonomous SLA violation-filtering framework, we simulate a use case where IaaS (OpenStack-SLAM) and PaaS (OpenShift) are combined; and assess performance and efficiency of the aforementioned VM placement strategies, when a multi-domain SLA pricing & penalty model is involved. We find that our proposal is efficient in managing trade-offs between the operational objectives of service providers (including financial considerations) and the customers' expected QoS requirements.

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SLA-Based Planning for Multi-Domain Infrastructure as a Service

Cited by 8 publications

References 7 publications

Dynamic Topology Orchestration for Distributed Cloud-Based Applications

Dynamic Topology Orchestration for Distributed Cloud-Based Applications

Service level agreements-driven management of distributed applications in cloud computing environments

QoS-Based Resource Allocation Framework for Multi-Domain SLA Management in Clouds

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