Simplifying Service Deployment with Virtual Appliances

Sun, Changhua; He, Le; Wang, Qingbo; Willenborg, R.

doi:10.1109/scc.2008.53

Cited by 31 publications

(17 citation statements)

References 7 publications

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“…We evaluated the effect of procedural and declarative constraints on the runtime of the planner and found that procedural constraints can achieve constant runtime for placement constraints in the presence of highly loaded data centers. For future work we would like to extend our approach to other examples besides the deployment case study, to apply it to Virtual Appliances [12], and to examine how configuration aspects [14] can be addressed using the notion of state-transition systems.…”

Section: Discussionmentioning

confidence: 99%

“…(6) The knowledgebase can be easily adapted to take different solutions for application deployment into account. For example, solving deployment using Virtual Appliances [12], [13] or using a finer grained domain comprising installation and configuration of applications [14]. The remainder of this paper is organized as follows: Section II introduces our notion of models and state-transition systems.…”

Section: Saas -Iaas Constraintsmentioning

confidence: 99%

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Model-Based Planning for State-Related Changes to Infrastructure and Software as a Service Instances in Large Data Centers

Hagen

Kemper

2010

2010 IEEE 3rd International Conference on Cloud Computing

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Abstract-To deliver 3-tier applications as a Service in the Cloud state-related constraints crossing Infrastructure-and Software as a Service boundaries need to be managed. By automating the lifecycle of applications like databases, load balancers, and web application servers rich SaaS business services can be provided in the Cloud. We propose an object oriented planning approach based on state constraints to plan for changes of SaaS and IaaS components in the Cloud. We evaluate techniques for fast storing and restoring of large object oriented Configuration Management Databases and show that enforcing constraints in a procedural instead of a declarative way offers huge performance improvements. The advantages of our approach lie within the tight integration of the planning algorithm with object oriented models frequently used for Configuration Management Databases. In addition to that, the algorithm scales to a large number of nodes and preserves its runtime even for large, heavily loaded data centers.

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Section: Discussionmentioning

confidence: 99%

Section: Saas -Iaas Constraintsmentioning

confidence: 99%

Model-Based Planning for State-Related Changes to Infrastructure and Software as a Service Instances in Large Data Centers

Hagen

Kemper

2010

2010 IEEE 3rd International Conference on Cloud Computing

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“…To tackle the aforementioned problems, we propose an automated, logically sound approach to adapt IT change plans to changed management domains to render infeasible change plans executable. We show the feasibility of our approach by applying it to a network configuration and deployment case study of a 2-tier architecture using virtual appliances [8], [9]. Using our case study we show that our randomized approach scales nicely regarding performance penalties for different types of unpredictable changes, even for large, heavily (85%) loaded data centers in 95% of all cases.…”

Section: Introductionmentioning

confidence: 90%

“…mem free >= g i p v ( " vmem " ) } ) 8 p r e ( " enough cpu " , { g i p v ( " pm " ) . c p u f r e e >= g i p v ( " vcpu " ) } ) 9 p r e ( " pm r u n n i n g " , { g i p v ( " pm " ) .…”

Section: Parameter Enhanced It Change Plansmentioning

confidence: 99%

Facing the unpredictable: Automated adaption of IT change plans for unpredictable management domains

Hagen

Kemper

2010

2010 International Conference on Network and Service Management

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Abstract-Change Management, a core process of the Information Technology Infrastructure Library (ITIL), is concerned with the management of changes to IT infrastructure and services to satisfy business goals and to minimize costly disruptions on the business. As part of this process, IT changes are planned for, authorized, tested, scheduled, and executed. Unpredictable incidents, e.g., resource failures or unexpected changes in between planning and execution can render plans infeasible. The execution of unsound plans ultimately leads to service disruptions which threaten the continuity of the business. In order to tackle this problem, we propose a logically sound approach to adapt infeasible IT change plans to a changed management domain in order to render them feasible again. We apply our approach to a case study comprising Virtual Area Network (VLAN) configuration and the deployment of a 2-tier service. For the case study we show that the proposed solution can render IT change plans feasible within minimal time differences regarding unpredictable resource conflicts in 95% of all cases if resource utilization remains below 85%.

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“…Services can be deployed in virtual machines (VMs) [4] [5]. These virtual machines are isolated from each other but can multiplex the same underlying hardware resources.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Processor Resource Configuration in Virtualized Environments

Jin

Deng

et al. 2011

2011 IEEE International Conference on Services Computing

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Abstract-Virtualization can provide significant benefits in data centers, such as dynamic resource configuration, live virtual machine migration. Services are deployed in virtual machines (VMs) and resource utilization can be greatly improved. In this paper, we present VScheduler, a system that dynamically adjusts processor resource configuration of virtual machines, including the amount of virtual resource and a new mapping of virtual machines and physical nodes. VScheduler implements a two-level resource configuration scheme -local resource configuration (LRC) for an individual virtual machine and global resource configuration (GRC) for a whole cluster or data center. GRC especially takes variation tendency of workloads into account when remapping virtual machines to physical nodes. We implement our techniques in Xen and conduct a detailed evaluation using RUBiS and dbench. The experimental results show that VScheduler not only satisfies resource demands of services, but also reduces the number of virtual machines migration, which can provide a stable VM distribution on physical nodes in data centers.

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Simplifying Service Deployment with Virtual Appliances

Abstract: As IT

Cited by 31 publications

References 7 publications

Model-Based Planning for State-Related Changes to Infrastructure and Software as a Service Instances in Large Data Centers

Model-Based Planning for State-Related Changes to Infrastructure and Software as a Service Instances in Large Data Centers

Facing the unpredictable: Automated adaption of IT change plans for unpredictable management domains

Dynamic Processor Resource Configuration in Virtualized Environments

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