Optimized Bit Matrix based Power Aware Load Distribution Policy for Federated Cloud

Rajeshwari, B S; Dakshayini, M.

doi:10.1016/j.procs.2020.03.387

Cited by 2 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As earlier stated, one of the significant disadvantages of cloud computing is that small CSPs do not have sufficient capacity to cope with peak demand. Maintaining resources to meet high demand may serve as a palliative function and contributes to wasting energy and resources, thereby raising costs and likely decreasing resources over their life cycles [22]. With time, several CSPs started pooling resources to build the federated cloud to address these limitations.…”

Section: Federated Cloudmentioning

confidence: 99%

“…Monitoring intervenes in the scaling of cloud resources as central processing unit (CPU)-intensive applications when non-proportional output costs are performed. This process helps allocate distributed application modules on many available nodes within the federation [22]. By monitoring various nodes, the management agents are aware of the required resources to meet the requirements of a specific component of a distributed application.…”

Section: Role Of Monitoring Solutions In the Taxonomy Of Resource Man...mentioning

confidence: 99%

See 1 more Smart Citation

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

et al. 2022

View full text Add to dashboard Cite

Cloud users have recently expanded dramatically. The cloud service providers (CSPs) have also increased and have therefore made their infrastructure more complex. The complex infrastructure needs to be distributed appropriately to various users. Also, the advances in cloud computing have led to the development of interconnected cloud computing environments (ICCEs). For instance, ICCEs include the cloud hybrid, intercloud, multi-cloud, and federated clouds. However, the sharing of resources is not facilitated by specific proprietary technologies and access interfaces used by CSPs. Several CSPs provide similar services but have different access patterns. Data from various CSPs must be obtained and processed by cloud users. To ensure that all ICCE tenants (users and CSPs) benefit from the best CSPs, efficient resource management was suggested. Besides, it is pertinent that cloud resources be monitored regularly. Cloud monitoring is a service that works as a third-party entity between customers and CSPs. This paper discusses a complete cloud monitoring survey in ICCE, focusing on cloud monitoring and its significance. Several current open-source monitoring solutions are discussed. A taxonomy is presented and analyzed for cloud resource management.

show abstract

Section: Federated Cloudmentioning

confidence: 99%

Section: Role Of Monitoring Solutions In the Taxonomy Of Resource Man...mentioning

confidence: 99%

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Federated cloud computing is a recent trend in cloud computing, where a large cloud is formed by different cloud service providers who collaborate to provide better cloud services [1,2]. This federated cloud is coordinated by a Federated Cloud Broker (FCB), which interacts with the different cloud service providers [3]. The cloud service providers make an agreement with the FCB for sharing their resources with specific details of economical and technical aspects [4,5].…”

Section: Introductionmentioning

confidence: 99%

Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

Rajeshwari¹,

Dakshayini²,

Guruprasad³

2021

J. ICT Res. Appl.

View full text Add to dashboard Cite

The federated cloud is the future generation of cloud computing, allowing sharing of computing and storage resources, and servicing of user tasks among cloud providers through a centralized control mechanism. However, a great challenge lies in the efficient management of such federated clouds and fair distribution of the load among heterogeneous cloud providers. In our proposed approach, called QPFS_MASG, at the federated cloud level, the incoming tasks queue are partitioned in order to achieve a fair distribution of the load among all cloud providers of the federated cloud. Then, at the cloud level, task scheduling using the Modified Activity Selection by Greedy (MASG) technique assigns the tasks to different virtual machines (VMs), considering the task deadline as the key factor in achieving good quality of service (QoS). The proposed approach takes care of servicing tasks within their deadline, reducing service level agreement (SLA) violations, improving the response time of user tasks as well as achieving fair distribution of the load among all participating cloud providers. The QPFS_MASG was implemented using CloudSim and the evaluation result revealed a guaranteed degree of fairness in service distribution among the cloud providers with reduced response time and SLA violations compared to existing approaches. Also, the evaluation results showed that the proposed approach serviced the user tasks with minimum number of VMs.

show abstract

Optimized Bit Matrix based Power Aware Load Distribution Policy for Federated Cloud

Cited by 2 publications

References 11 publications

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

Contact Info

Product

Resources

About