Integrating Resource Consumption and Allocation for Infrastructure Resources on-Demand

Zhang, Ying; Huang, Gang; Liu, Xuanzhe; Mei, Hong

doi:10.1109/cloud.2010.11

Cited by 37 publications

(38 citation statements)

References 4 publications

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“…In [8] Zhang et al integrate resource consumption with resource allocation for obtaining efficient load balancing. The strategy is designed as two interconnected feedback loops.…”

Section: State Of Artmentioning

confidence: 99%

Multi-objective Meta-heuristics for Scheduling Applications with High Availability Requirements and Cost Constraints in Multi-Cloud Environments

Frîncu

Crăciun

2011

2011 Fourth IEEE International Conference on Utility and Cloud Computing

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Abstract-As the popularity of cloud computing increases, more and more applications are migrated onto them. Web 2.0 applications are the most common example of such applications. These applications require to scale, be highly available, fault tolerant and able to run uninterrupted for long periods of time (or even indefinitely). Moreover as new cloud providers appear there is a natural tendency towards choosing the best provider or a combination of them for deploying the application. Thus multi-cloud scenarios emerge from this situation. However, as multi-cloud resource provisioning is both complex and costly, the choice of which resources to lend and how to allocate them to application components needs to rely on efficient strategies. These need to take into account many factors including deployment and run-time cost, resource load, and application availability in case of failures. For this aim multi-objective scheduling algorithms seem an appropriate choice. This paper presents an algorithm which tries to achieve application high-availability and fault-tolerance while reducing the application cost and keeping the resource load maximized. The proposed algorithm is compared with a classic Round Robin strategy -used by many commercial clouds -and the obtained results prove the efficiency of our solution.

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“…In [8] Zhang et al integrate resource consumption with resource allocation for obtaining efficient load balancing. The strategy is designed as two interconnected feedback loops.…”

Section: State Of Artmentioning

confidence: 99%

Multi-objective Meta-heuristics for Scheduling Applications with High Availability Requirements and Cost Constraints in Multi-Cloud Environments

Frîncu

Crăciun

2011

2011 Fourth IEEE International Conference on Utility and Cloud Computing

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“…Obviously there is previous work about trying to improve resource utilization and allocating resources in Clouds, such as [6]. But all proposals consider only one Cloud provider, because all most of them are based on hypervisor element.…”

Section: A Hybrid Infraestructuresmentioning

confidence: 99%

“…Some of these systems allow the recording of their sessions. We can find examples of these portáis such as WebEx 5 , FlashMeeting 6 or Marte [4]. On the other hand, during this period some Internet portáis have arisen to allow the users to upload their own recorded videos of lessons, conferences, etc.…”

Section: Introductionmentioning

confidence: 99%

Videoconference Capacity Leasing on Hybrid Clouds

Cerviño

Escribano

Rodríguez

et al. 2011

2011 IEEE 4th International Conference on Cloud Computing

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Abstract-This paper proposes a new methodology focused on implementing cost effective architectures on Cloud Computing systems. With this methodology the paper presents some disadvantages of systems that are based on single Cloud architectures and gives some advices for taking into account in the development of hybrid systems. The work also includes a validation of these ideas implemented in a complete videoconference service developed with our research group. This service allows a great number of users per conference, múltiple simultaneous conferences, different client software (requiring transcodiflcation of ¡nidio and video flows) and provides a service like automatic recording. Furthermore it offers different kinds of connectivity including SIP clients and a client based on Web 2.0. The ideas proposed in this article are intended to be a useful resource for any researcher or developer who wants to implement cost effective systems on several Clouds.

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“…Gong and Xu [7] have proposed a feedback control-based coordination system providing guarantees on a service level agreement with respect to performance and a power budget in virtualized environments. Zhang et al [23] have presented two control loops to realize on-demand resource optimization and allocation in cloud infrastructures. Although these approaches can adaptively allocate resource according to dynamic workload and environments, they don't take the non-cooperative situation into consideration.…”

Section: Related Workmentioning

confidence: 99%

“…Many researches have applied control-theoretic approaches (e.g., [7], [17], [23]) to realize automated resource allocation and service level managements in cloud systems. For example, Padala et al [17] have combined an online model estimator and a multi-input multi-output (MIMO) resource controller to dynamically allocate resource to applications running on shared virtualized environments.…”

Section: Related Workmentioning

confidence: 99%

Mechanism Design for Stochastic Virtual Resource Allocation in Non-cooperative Cloud Systems

Kong

Guo

2011

2011 IEEE 4th International Conference on Cloud Computing

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Abstract-Currently, virtualization technology has been widely adopted by cloud service providers to provide flexible and costeffective resource sharing among users. On cloud platforms, computing resources are allocated on-demand dynamically and the application hosted on a virtual machine(VM) usually has the illusion of complete control of resources. Thus, a selfish VM may strategically compete for resource with other VMs to maximize its own benefit while at the cost of overall system performance. This problem poses new challenges to cloud providers, who must thwart non-cooperative behavior as well as allocating resource among selfish VMs efficiently. In this paper, we propose to utilize mechanism design to allocate resource among selfish VMs in a non-cooperative cloud environment. Because the accurate relationship between VM's valuation function and allocated resource may not be available in practice and the valuation function parameters may not noisefree, we also propose to apply stochastic approximation methods to get stochastic solution for allocation and payment outcomes. We show through theoretical analysis and simulations that the proposed stochastic mechanism is efficient and incentive compatible. That is, the incorporation of mechanism design for virtualized resource allocation is able to enforce cooperation and achieve efficient resource utilization among selfish VMs in non-cooperative cloud systems.

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Integrating Resource Consumption and Allocation for Infrastructure Resources on-Demand

Cited by 37 publications

References 4 publications

Multi-objective Meta-heuristics for Scheduling Applications with High Availability Requirements and Cost Constraints in Multi-Cloud Environments

Multi-objective Meta-heuristics for Scheduling Applications with High Availability Requirements and Cost Constraints in Multi-Cloud Environments

Videoconference Capacity Leasing on Hybrid Clouds

Mechanism Design for Stochastic Virtual Resource Allocation in Non-cooperative Cloud Systems

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