Negotiating and Enforcing QoS and SLAs in Grid and Cloud Computing

Stantchev, Vladimir; Schröpfer, Christian

doi:10.1007/978-3-642-01671-4_3

Cited by 91 publications

(54 citation statements)

References 20 publications

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“…But the SA-Layer has been modified to be able to check high confidence resources first (2 ), and in case of an impossibility of allocating the job on this kind of resources, check low confidence resources (3 ), where, according to the prediction techniques, is feasible to execute it fulfilling their time constrains. Accepted Silver SLAs can be rescheduled, but in order to keep the priorities defined for the three QoS levels, the rescheduling process is conditioned.…”

Section: Proposalmentioning

confidence: 99%

“…The exploitation of service oriented technologies, such as Grid and high performance computing environments, is being boosted by the current service oriented economy trend [1], leading to a growing interest of Quality of Service (QoS) mechanisms [2]. However, Grid computing was conceived to provide vast amounts of computational power, of a wide variety and geographically dispersed resources, but in a best effort way.…”

Section: Introductionmentioning

confidence: 99%

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From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments

Conejero

Caminero

Carrión

et al. 2014

Future Generation Computer Systems

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From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multigrid computing environments. Future generations computer systems, AbstractThe exploitation of service oriented technologies, such as Grid computing, is being boosted by the current service oriented economy trend, leading to a growing need of Quality of Service (QoS) mechanisms. However, Grid computing was created to provide vast amounts of computational power but in a best effort way. Providing QoS guarantees is therefore a very difficult and complex task due to the distributed and heterogeneous nature of their resources, specially the volunteer computing resources (e.g., desktop resources).The scope of this paper is to empower an integrated multi QoS support suitable for Grid Computing environments made of either dedicated and volunteer resources, even taking advantage of that fact. The QoS is provided through SLAs by exploiting different available scheduling mechanisms in a coordinated way, and applying appropriate resource usage optimization techniques. It is based on the differentiated use of reservations and scheduling in advance techniques, enhanced with the integration of rescheduling techniques that improve the allocation decisions already made, achieving a higher re- source utilization and still ensuring the agreed QoS. As a result, our proposal enhances best-effort Grid environments by providing QoS aware scheduling capabilities. This proposal has been validated by means of a set of experiments performed in a real Grid testbed. Results show how the proposed framework effectively harnesses the specific capabilities of the underlying resources to provide every user with the desired QoS level, while, at the same time, optimizing the resources' usage.

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Section: Proposalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments

Conejero

Caminero

Carrión

et al. 2014

Future Generation Computer Systems

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“…As expected from any economic enterprise, cloud providers aim to maximize their profits. At the same time, tenants expect cloud providers to keep a certain, agreed upon set of service level objectives (SLO), defined in a service level agreement (SLA) [3]. SLA is a legally binding contract between the cloud provider and tenant.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, even fewer of those studies [18], [19] are taking economics of the cloud into account. To the best of our knowledge, lack of performance SLO is also true for the commercial clouds offered by Amazon 1 , Google 2 , and Microsoft 3 .…”

Section: Introductionmentioning

confidence: 99%

A Performance and Profit Oriented Data Replication Strategy for Cloud Systems

Tos

Mokadem

Hameurlain

et al. 2016

2016 Intl IEEE Conferences on Ubiquitous Intelligence &Amp; Computing, Advanced and Trusted Computing, Scalable Computing and C

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 18792The contribution was presented at CBDCom 2016 :https://cbdcom2016.sciencesconf.org/ Abstract-In today's world, tenants of cloud systems expect timely responses to queries that process ever-increasing sizes of data. However, most cloud providers offer their services without any performance guarantees to their tenants. In this paper we propose a data replication strategy that aims to satisfy performance guarantees for the tenant while ensuring profitability of the cloud provider. Our strategy estimates the response time of the queries, as well as the expenditures that affect the profitability of the cloud provider. The decision of whether to perform replication is determined by the fulfillment of these two criteria. Validity of the proposed strategy is provided by means of a simulation study.

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“…Disregarded or seen as an extraneous factor in the HPC's beginnings, the carbon emissions footprint of data centers escalated to levels comparable to those of highly-developed countries [21]. Estimates place the energy consumption of an Exaflops scale system in the range of level agreement violations [29,30]. What is more, dynamic and risk-aware pricing policies may apply where predictive models are used either in place or through intermediary brokers to assess the financial and computational impact of decisions taken at different moments in time.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Computing Using Agent-Based Multi-objective Dynamic Optimization

Tantar

Danoy

Bouvry

et al. 2011

Green IT: Technologies and Applications

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Nowadays distributed systems face a new challenge, almost nonexistent a decade ago: energy-efficient computing. Due to the rising environmental and economical concerns and with trends driving operational costs beyond the acquisition ones, green computing is of more actuality than never before. The aspects to deal with, e.g. dynamic systems, stochastic models or time-dependent factors, call nonetheless for paradigms combining the expertise of multiple research areas. An agent-based dynamic multi-objective evolutionary algorithm relying on simulation and anticipation mechanisms is presented in this chapter. A first aim consists in addressing several difficult energy-efficiency optimization issues, in a second phase, different open questions being outlined for future research.

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Negotiating and Enforcing QoS and SLAs in Grid and Cloud Computing

Cited by 91 publications

References 20 publications

From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments

From volunteer to trustable computing: Providing QoS-aware scheduling mechanisms for multi-grid computing environments

A Performance and Profit Oriented Data Replication Strategy for Cloud Systems

Energy-Efficient Computing Using Agent-Based Multi-objective Dynamic Optimization

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