Brokerage-based dependability integration in cloud computing services

Abderrahim, Wiem; Choukair, Zièd

doi:10.1007/s11227-018-2388-4

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…Wiem et. al., [40] proposed a broker based on evaluation of the fault severity impact. It decides on continuation of service consumption with the existing service provider or switches to a new provider but lacks focus on selecting the provider at first instance.…”

Section: Literature Surveymentioning

confidence: 99%

Global Manager – A Service Broker In An Integrated Cloud Computing, Edge Computing & IoT Environment

2022

KSII TIIS

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The emergence of technologies like Big data analytics, Industrial Internet of Things, Internet of Things, and applicability of these technologies in various domains leads to increased demand in the underlying execution environment. The demand may be for compute, storage, and network resources. These demands cannot be effectively catered by the conventional cloud environment, which requires an integrated environment. The task of finding an appropriate service provider is tedious for a service consumer as the number of service providers drastically increases and the services provided are heterogeneous in the specification. A service broker is essential to find the service provider for varying service consumer requests. Also, the service broker should be smart enough to make the service providers best fit for consumer requests, ensuring that both service consumer and provider are mutually beneficial. A service broker in an integrated environment named Global Manager is proposed in the paper, which can find an appropriate service provider for every varying service consumer request. The proposed Global Manager is capable of identification of parameters for service negotiation with the service providers thereby making the providers the best fit to the maximum possible extent for every consumer request. The paper describes the architecture of the proposed Global Manager, workflow through the proposed algorithms followed by the pilot implementation with sample datasets retrieved from literature and synthetic data. The experimental results are presented with a few of the future work to be carried out to make the Manager more sustainable and serviceable.

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Section: Literature Surveymentioning

confidence: 99%

Global Manager – A Service Broker In An Integrated Cloud Computing, Edge Computing & IoT Environment

2022

KSII TIIS

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“…Cloud computing is the foundation of many business solutions now and it is more reliable than on-premise hardware implementations (Amoon & Tobely, 2019). Due to the increase in demand for resources lead to an increase in the services, and thus the establishment of large-scale data centers (Abderrahim & Choukair, 2018). Despite the great promise of cloud computing, several categories of defects may arise in cloud which leads to degradation of performance and many failures.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Tolerant Resource Allocation Scheme for Cloud Computing Environments

Sathiyamoorthi¹,

Keerthika²,

Suresh³

et al. 2021

Journal of Organizational and End User Computing

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Cloud computing is an optimistic technology that leverages the computing resources to offer globally better and more efficient services than the collection of individual use of internet resources. Due to the heterogeneous and high dynamic nature of resources, failure during resource allocation is a key risk in cloud. Such resource failures lead to delay in tasks execution and have adverse impacts in achieving quality of service (QoS). This paper proposes an effective and adaptive fault tolerant scheduling approach in an effort to facilitate error free task scheduling. The proposed method considers the most impactful parameters such as failure rate and current workload of the resources for optimal QoS. The suggested approach is validated using the CloudSim toolkit based on the commonly used metrics including the resource utilization, average execution time, makespan, throughput, and success rate. Empirical results prove that the suggested approach is more efficient than the benchmark techniques in terms of load balancing and fault tolerance.

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Study of Simulation Environment of Cloud Broker and Classification of Cloud Service Broker

Jyoti

Mishra

Singh

2021

Computer Networks and Inventive Communication Technologies

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Brokerage-based dependability integration in cloud computing services

Cited by 4 publications

References 34 publications

Global Manager – A Service Broker In An Integrated Cloud Computing, Edge Computing & IoT Environment

Global Manager – A Service Broker In An Integrated Cloud Computing, Edge Computing & IoT Environment

Adaptive Fault Tolerant Resource Allocation Scheme for Cloud Computing Environments

Study of Simulation Environment of Cloud Broker and Classification of Cloud Service Broker

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