Virtual resource provision based on elastic reservation in cloud computing

He, Hong

doi:10.1504/ijnvo.2015.069295

Cited by 6 publications

(5 citation statements)

References 36 publications

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“…Our proposal is the first step forward to a solution of resource reservation that uses a method to predict the time the query will take to execute in order to make a resource recommendation to the user. [Funke et al 2012, He 2015, Wang et al 2015 assume the users know by advance the duration of their reservation, while [Gomes and Dantas 2014] calculates the average of CPU and memory usage to help the user to make the reservation choice. Moreover, no resource reservation approach has been proposed DBaaS.…”

Section: Discussionmentioning

confidence: 99%

“…Resource reservation has been explored in [Funke et al 2012], where the authors show how beneficial resource reservation may be in a cloud computing environment for both the consumer and the provider. In a similar approach, [He 2015] states nowadays cloud providers take the decision of provisioning resources based only on workload peaks, what usually results in excess of resource provisioning and the need to scale up/down drastically, causing high service costs. The author, therefore, proposes an elastic reservation mechanism to enhance the use of resources and the user's satisfaction.…”

Section: Resource Reservationmentioning

confidence: 99%

See 1 more Smart Citation

An Advance Resource Reservation Approach in a Cloud Database Environment

Segalin¹,

Dorneles²,

Dantas³

2017

Anais Do XVIII Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2017)

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AA well-known challenge with long running time queries in database environments is how much time a query will take to execute. This prediction is relevant for several reasons. For instance, by knowing that a query will take longer to execute than desired, one resource reservation mechanism can be performed, which means reserving more resources in order to execute this query in a shorter time in a future request. In this research work, it is presented a proposal in which the use of an advance reservation mechanism in a cloud database environment, considering machine learning techniques, provides resource recommendation. The proposed model is presented, in addition to some experiments that evaluate benefits and the efficiency of this enhanced proposal.

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Section: Discussionmentioning

confidence: 99%

Section: Resource Reservationmentioning

confidence: 99%

An Advance Resource Reservation Approach in a Cloud Database Environment

Segalin¹,

Dorneles²,

Dantas³

2017

Anais Do XVIII Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2017)

View full text Add to dashboard Cite

show abstract

“…If the invocation of 'Service1' is authorised, 'A' sends a SOAP/XML request to the URL of 'Service1', 'B' executes the request, and sends back the result of 'Service1' to 'A', and then 'A' transmits this result to 'Alice'. In another research work (He, 2015), authors present virtual resource provision based on elastic reservation in cloud computing. In cloud platforms, resource provision service plays an important role to provide flexible and reliable IT-infrastructure for various kinds of applications.…”

Section: Polyorbac Architecturementioning

confidence: 99%

Unified enterprise modelling language-based interoperability for collaborative access control framework in critical infrastructures

Baïna

Benali

Bellafkih

et al. 2020

IJNVO

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Due to physical and logical vulnerabilities, a critical infrastructure (CI) can encounter failures of various degrees of severity, and since there are many interdependencies between CIs, simple failures can have dramatic consequences on the whole infrastructure. In this paper, we mainly focus on malicious threats that might affect the communication and information systems (the critical information infrastructure, or CII) dedicated to critical infrastructures. We define a new collaborative access control framework called PolyOrBAC, to address the security problems that are specific of CIIs. This approach offers each organisation taking part in the CII the capacity of collaborating with the other ones, while maintaining a control on its resources and on its internal security policy. The approach is demonstrated on a practical scenario, based on real emergency actions in an electric power grid infrastructure.

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“…This is not true, though, and users must take that into account before taking some decisions, such as changing their workload dramatically without previous warning. When the workload variation is predictable, users can reserve resources for the moment they will need them, as made by [33,34,35].…”

Section: Challenges and Perspectivesmentioning

confidence: 99%

DBaaS Multitenancy, Auto-tuning and SLA Maintenance in Cloud Environments: a Brief Survey

Segalin

Dorneles²,

Dantas³

2018

iSys

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Cloud computing is a paradigm that presents many advantages to both costumers and service providers, such as low upfront investment, pay-per-use and easiness of use, delivering/enabling scalable services using Internet technologies. Among many types of services we have today, Database as a Service (DBaaS) is the one where a database is provided in the cloud in all its aspects. Examples of aspects related to DBaaS utilization are data storage, resources management and SLA maintenance. In this context, an important feature, related to it, is resource management and performance, which can be done in many different ways for several reasons, such as saving money, time, and meeting the requirements agreed between client and provider, that are defined in the Service Level Agreement (SLA). A SLA usually tries to protect the costumer from not receiving the contracted service and to ensure that the provider reaches the profit intended. In this paper it is presented a classification based on three main parameters that aim to manage resources for enhancing the performance on DBaaS and guarantee that the SLA is respected for both user and provider sides benefit. The proposal is based upon a survey of existing research work efforts.

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Virtual resource provision based on elastic reservation in cloud computing

Cited by 6 publications

References 36 publications

An Advance Resource Reservation Approach in a Cloud Database Environment

An Advance Resource Reservation Approach in a Cloud Database Environment

Unified enterprise modelling language-based interoperability for collaborative access control framework in critical infrastructures

DBaaS Multitenancy, Auto-tuning and SLA Maintenance in Cloud Environments: a Brief Survey

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