Datacenter Investment Support System (DAISY)

Hedwig, Markus; Malkowski, Simon; Bodenstein, Christian; Neumann, Dirk

doi:10.1109/hicss.2010.129

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Dias de Assuncao et al investigated the potential of combining cloud and owned infrastructure resources to achieve higher performance [7]. Hedwig et al developed a model to determine the optimal size of an enterprise system that satisfies peak demands with remote resources [9]. Both works suggest the inclusion of cloud resource into efficient production systems.…”

Section: Related Workmentioning

confidence: 99%

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CloudXplor

Malkowski

Hedwig

Jayasinghe

et al. 2010

Proceedings of the 2010 ACM Symposium on Applied Computing

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Configuration planning for modern information systems is a highly challenging task due to the implications of various factors such as the cloud paradigm, multi-bottleneck workloads, and Green IT efforts. Nonetheless, there is currently little or no support to help decision makers find sustainable configurations that are systematically designed according to economic principles (e.g., profit maximization). This paper explicitly addresses this shortcoming and presents a novel approach to configuration planning in clouds based on empirical data. The main contribution of this paper is our unique approach to configuration planning based on an iterative and interactive data refinement process. More concretely, our methodology correlates economic goals with sound technical data to derive intuitive domain insights. We have implemented our methodology as the CloudXplor Tool to provide a proof of concept and exemplify a concrete use case. CloudXplor, which can be modularly embedded in generic resource management frameworks, illustrates the benefits of empirical configuration planning. In general, this paper is a working example on how to navigate large quantities of technical data to provide a solid foundation for economical decisions.

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Section: Related Workmentioning

confidence: 99%

“…This trend not only calls for decision systems with flexible cost model support but also places particular emphasis on the optimization of operational expenditures [9]. Similarly, a key concern in green datacenter management are the rising costs of operation.…”

Section: Introductionmentioning

confidence: 99%

CloudXplor

Malkowski

Hedwig

Jayasinghe

et al. 2010

Proceedings of the 2010 ACM Symposium on Applied Computing

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“…offloading the computing load during peak times to a public cloud infrastructure have been analytically investigated in [4], [9]. The cost efficient allocation of computing load to the private and the public portions of a hybrid cloud infrastructure was also studied in [10], [11] and in [12], [6] where the communication overheads were taken into account as well. It has been shown that, assuming negligible data communication overheads, the cost-optimal time of using public cloud is the inverse of the premium charged by the public cloud provider.…”

Section: Related Workmentioning

confidence: 99%

Impact of Storage Acquisition Intervals on the Cost-Efficiency of the Private vs. Public Storage

Mazhelis

Fazekas

Tyrväinen

2012

2012 IEEE Fifth International Conference on Cloud Computing

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Abstract-The volume of worldwide digital content has increased nine-fold within the last five years, and this immense growth is predicted to continue in foreseeable future reaching 8ZB already by 2015. Traditionally, in order to cope with the growing demand for storage capacity, organizations proactively built and managed their private storage facilities. Recently, with the proliferation of public cloud infrastructure offerings, many organizations, instead, welcomed the alternative of outsourcing their storage needs to the providers of public cloud storage services. The comparative cost-efficiency of these two alternatives depends on a number of factors, among which are e.g. the prices of the public and private storage, the charging and the storage acquisition intervals, and the predictability of the demand for storage. In this paper, we study how the cost-efficiency of the private vs. public storage depends on the acquisition interval at which the organization re-assesses its storage needs and acquires additional private storage. The analysis in the paper suggests that the shorter the acquisition interval, the more likely it is that the private storage solution is less expensive as compared with the public cloud infrastructure. This phenomenon is also illustrated in the paper numerically using the storage needs encountered by a university back-up and archiving service as an example. Since the acquisition interval is determined by the organization's ability to foresee the growth of storage demand, by the provisioning schedules of storage equipment providers, and by internal practices of the organization, among other factors, the organization owning a private storage solution may want to control some of these factors in order to attain a shorter acquisition interval and thus make the private storage (more) cost-efficient.

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Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing

Huang

2012

Journal of Network and Computer Applications

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Datacenter Investment Support System (DAISY)

Cited by 4 publications

References 13 publications

CloudXplor

CloudXplor

Impact of Storage Acquisition Intervals on the Cost-Efficiency of the Private vs. Public Storage

Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing

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