A Survey on Resource Allocation Strategies in Cloud Computing

Vinothina, V.; Ganapathi, Dr.Padmavathi

doi:10.14569/ijacsa.2012.030616

Cited by 110 publications

(71 citation statements)

References 20 publications

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“…Moreover, ever-increasing heterogeneity, variability of the environment and uncertainty of resources in the node which cannot be satisfied with traditional resource allocation pose harder challenges for both parties [16] Inputs from users and providers are put together in order to optimally allocate resources to prevent the problems of under/over provisioning of resources. From the users, application requirement and SLA are required while from the providers, offerings, available resources, status of the resources and SLA are required [17] Requirements from both parties are put together in order to optimally allocate resources so as to satisfy various user requirements, a resource allocation strategy must circumvent the following scenarios as opined by [17] [16] [15] [34].…”

Section: Resource Allocationmentioning

confidence: 99%

SURVEY ON DYNAMIC RESOURCE ALLOCATION STRATEGIES (RAS) & CONTENTION MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

2015

IJAERD

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Section: Resource Allocationmentioning

confidence: 99%

SURVEY ON DYNAMIC RESOURCE ALLOCATION STRATEGIES (RAS) & CONTENTION MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

2015

IJAERD

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“…The Allocation process is the process of assigning an available source needed cloud applications over the internet [12]. These resources are allocated based on user request and pay-per-use method.…”

Section: Resource Management At a Glancementioning

confidence: 99%

“…Vinothina et al [12] surveyed that resource contention, scarcity of resources, resource fragmentation and over provisioning should be avoided, so that allocation and usage of the resources will be optimal. There is a need of a new strategy to find the cause the computing resources become exhausted and out of capacity to serve the cloud subscriber.…”

Section: Related Work In Resource Managementmentioning

confidence: 99%

“…According to [11], resource discovery provide a way for a resource management system (RMS) to determine the state of the resources that are managed by it and other RMSs that interoperate with it. The resource discovery works with dissemination of resources to provide information about the state of resources to the information server.The Allocation process is the process of assigning an available source needed cloud applications over the internet [12]. These resources are allocated based on user request and pay-per-use method.…”

mentioning

confidence: 99%

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A Survey on Resource Allocation and Monitoring in Cloud Computing

Mohamaddiah¹,

Abdullah²,

Subramaniam³

et al. 2014

IJMLC

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Abstract-The cloud provider plays a major role especially providing resources such as computing power for the cloud subscriber to deploy their applications on multiple platforms anywhere; anytime. Hence the cloud users still having problem for resource management in receiving the guaranteed computing resources on time. This will impact the service time and the service level agreements for various users in multiple applications. Therefore there is a need for a new resolution to resolve this problem. This survey paper conducts a study in resource allocation and monitoring in the cloud computing environment. We describe cloud computing and its properties, research issues in resource management mainly in resource allocation and monitoring and finally solutions approach for resource allocation and monitoring. It is believed that this paper would benefit both cloud users and researchers for further knowledge on resource management in cloud computing.Index Terms-Resource allocation, resource monitoring, cloud computing, resource management. I. INTRODUCTIONCloud Computing, a service model was introduced to provide computing resources such as computing power, storage and bandwidth to deliver the IT services to the organization. This service model is rapidly being adopted by many organizations because it offers lots of business opportunity especially in terms of financial investment and human capital. With cloud services, the organization may opt out to set up a data center for its IT infrastructure or to procure hardware and software for its business applications as they can lease the resources from the cloud service provider. Initial providers in cloud computing such as Amazon EC2 [1], Google Apps Engine [2] , Microsoft Azure [3], SalesForce.com [4] offers great business value to the interested organizations who want to subscribe the services with a concept pay-per-use, on-demand and a defined Service level agreements (SLAs). For example, Google Apps Engine offers monthly uptime percentage: 99.00% -< 99.95% for client for its covered services. For the downtime period, they offer a period of five consecutive minutes of downtime. This value is an attractive package for the client, because they manage to control the usage of resources and demands more, faster and reliable infrastructure. Manuscript received October 11, 2013; revised December 7, 2013 On the other hand, the resources on the cloud are pooled in order to serve multiple subscribers. The provider use multi-tenancy model where the resources (physical and virtual) are reassigned dynamically based on the tenant requirement [5]. The assigning of the resources will be based on the lease and SLA agreement, whereby different clients will need more or less amount of virtual resources. Subsequently, the growth of demands for cloud services is bringing more challenge for the provider to provide the resources to the client subscriber. Therefore, in this paper we provide a review on cloud computing which focus on resource management: allocation and monitoring. Our methodolo...

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“…Due to the heterogeneous nature of Cloud in terms of applications and resources, the problems with resource allocations in Cloud Computing are dynamic [1]. The static allocation policies have led to inefficient resource sharing, poor utilization, waste of resources and revenue loss.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

Shaari

Ang

Por

et al. 2017

MJCS

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Cloud computing has taken the IT and business world by storm through its cost savings and quick-and-easy adoption. Currently, fixed price model is dominating the pricing schemes in the cloud market. However, this model is unable to reflect the current market needs for cost savings as the number of cloud provider and user increases. As a result, a dynamic pricing scheme has emerged as an attractive strategy to better cope with the unpredictable cloud demand. This paper proposed a dynamic pricing scheme that provides fairness among the service providers in a multi-cloud environment. The scheme adjusts the price accordingly to encourage the low utilized resources' usage and discourage over utilized resources' usage. The evaluation results showed that the proposed scheme is able to reduce the cost of the end user when running compute-intensive and data-intensive jobs in the multi-cloud environment.

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A Survey on Resource Allocation Strategies in Cloud Computing

Cited by 110 publications

References 20 publications

SURVEY ON DYNAMIC RESOURCE ALLOCATION STRATEGIES (RAS) & CONTENTION MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

SURVEY ON DYNAMIC RESOURCE ALLOCATION STRATEGIES (RAS) & CONTENTION MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

A Survey on Resource Allocation and Monitoring in Cloud Computing

Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

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