Resource management in the federated cloud environment using Cournot and Bertrand competitions

Khorasani, Neda; Abrishami, Saeid; Feizi, Mehdi; Esfahani, Mahdi Abolfazli; Ramezani, Fahimeh

doi:10.1016/j.future.2020.07.010

Cited by 19 publications

(6 citation statements)

References 29 publications

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“…Cloud computing resources are dispersed geographically in virtualized and distributed environments due to the great scalability rate offered. It makes cloud computing suitable for companies that can delegate some operations, which leads to a substantial reduction in physical infrastructure costs [18]. Although open-source clouds like OpenStack, Eucalyptus, OpenNebula, and CloudStack are more and more expanding, it is not easy to migrate to the cloud infrastructure, especially for critical services such as banking, and health.…”

Section: Interconnected Cloud Computing Environmentmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Interconnected Cloud Computing Environmentmentioning

confidence: 99%

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

et al. 2022

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“…erefore, relying solely on a single cloud provider can stop users from having high-quality services whenever they need to. In this case, as the workload increases, the cloud federation assists CSPs to scale up by renting resources from other providers [40].…”

Section: Cloud Federationmentioning

confidence: 99%

A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

Molo

Badejo

Adetiba

et al. 2021

Applied Computational Intelligence and Soft Computing

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Cloud computing is a technology that allows dynamic and flexible computing capability and storage through on-demand delivery and pay-as-you-go services over the Internet. This technology has brought significant advances in the Information Technology (IT) domain. In the last few years, the evolution of cloud computing has led to the development of new technologies such as cloud federation, edge computing, and fog computing. However, with the development of Internet of Things (IoT), several challenges have emerged with these new technologies. Therefore, this paper discusses each of the emerging cloud-based technologies, as well as their architectures, opportunities, and challenges. We present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on. Furthermore, the paper highlights the application of different cloud paradigms in the healthcare ecosystem.

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“…Because of its scalable user pool of services and resources, cloud computing has become more popular in recent years. This is because it allows users to freely control their consumption and only pay for the cloud resources they actually utilize [10] [28]. Google Compute Engine, Rackspace Cloud, and Amazon EC2 are just a few of the commercial cloud computing systems that have recently entered the market [2] [15].…”

Section: Introductionmentioning

confidence: 99%

“…Adjusting position in accordance with the group leaders: To carry out this movement, a system is deployed based on the formula (10) to choose the leader, where i represents current coot index, D represents leader index, and lc represents the leader count.…”

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confidence: 99%

An AHP based Task Scheduling and Optimal Resource Allocation in Cloud Computing

Karimunnisa¹,

Yellamma²

2023

IJACSA

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Cloud systems by virtue characterize ultimate resource utilization with ever evolving user requirements facilitating adaptivity. With a scope of enhancing the QoS needs of user applications, numerous factors are considered for tunning among which Task scheduling promises to grab focus. The Task Scheduling mechanism ascertains improvement by distributing the subtasks to specific set of resources pertaining to prevailing Quality models. The work emphasizes the need for effective task scheduling and optimizing resource allocation by modelling a modified AHP (Analytical Hierarchy Process) driven approach. The proposed method guarantees the functionality in two phases pertaining to Task ranking and pipelined with Optimized scheduling algorithms resulting in maximization of resource utilization. The former phase of task ranking is aided by improved AHP with substantial usage of fuzzy clustering followed by an enhanced CUCMCA (Chimp Updated and Cauchy Mutated Coot Algorithm) algorithm for optimal resource allocation of cloud applications. The contributed model promises leveraged performance of 32% for memory usage, 33.5% for execution time, 29% for makespan and 18% for communication cost over pre-existing conventional models considered.

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Resource management in the federated cloud environment using Cournot and Bertrand competitions

Cited by 19 publications

References 29 publications

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

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

A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

An AHP based Task Scheduling and Optimal Resource Allocation in Cloud Computing

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