Federation and Revenue Sharing in Cloud Computing Environment

Zant, Bassem El; Amigo, Isabel; Gagnaire, Maurice

doi:10.1109/ic2e.2014.78

Cited by 14 publications

(6 citation statements)

References 12 publications

(10 reference statements)

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“…There are various planning ways to deal with take care of the generally standard issues in distributed computing [29][30][31]. The calculations have the ability to take care of the substantial issues and changing over them into sensible enhancement issues through direct programming [32], whole number straight programming [34], and number programming [33].…”

Section: Related Workmentioning

confidence: 99%

Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing

2019

IJITEE

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The mobile computing and cloud computing together form into Mobile Cloud Computing (MCC). The mobile devices have some limitations like computation power, battery life, etc., These limitations can be overcome by integrating with the cloud technology. Even in this case, delay will be introduced due to WAN properties during the offloading process of the tasks from mobile environment to cloud environment. This is reduced with the use of cloudlet environment. In this paper, fault tolerant dynamic task offloading with cloudlets in mobile cloud computing is proposed. The technical process of resisting against diseases by the human is incorporated in MCC to fight against the faulty machines in the system. The proposed system is simulated using openstack++ and evaluated in terms of task completion time. The performance of the proposed system is compared with the algorithm where rescheduling is not carried out and DR approach [28] and is proved to be performing better.

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Section: Related Workmentioning

confidence: 99%

Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing

2019

IJITEE

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“…Generally, a cloud federation is a collection of CPs that cooperate in order to provide the resources requested by users. Forming cloud federations is considered as a promising solution to individual CPs that help achieve greater scalability and performance when allocating on‐demand workloads . The basic requirements for forming federations of CPs were initially discussed by Rochwerger et al .…”

Section: Related Workmentioning

confidence: 99%

“…However, the variability of on‐demand and dynamic big data workloads can create a spike in the requested VMs that may result in higher service rejection rates, service delays, and eventually, loss of profit and reputation as well. By forming a federation with other CPs, an IaaS CP can dynamically scale‐up its virtual resource capabilities to meet users' demand of supporting big data workloads without individually increasing the amount of virtual resources .…”

Section: Introductionmentioning

confidence: 99%

QoS and trust‐aware coalition formation game in data‐intensive cloud federations

Hassan

Abdullah-Al-Wadud

Almogren

et al. 2015

Concurrency and Computation

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This paper addresses the problem of efficient federation formation by the cloud providers (CPs) with an aim to fulfill the dynamic resource demands of users for supporting data-intensive workloads. Existing works only focus on forming federations based on the highest profit gained by each of the CPs in a federation. Therefore, these approaches often suffer from the risk of selecting unreliable CPs in the federation resulting in additional penalty cost and loss of CPs's reputation due to service level agreement violation between the users and the federation. In contrast, we argue that a trust model is necessary to find the most promising cloud collaborators. Accordingly, we propose a novel cloud federation formation mechanism by utilizing a trust-based cooperative game theory, which enables the CPs to dynamically form a federation based on profit maximization and penalty cost minimization as a result of selecting the trustworthy CPs. Simulation results show that the cloud federation formed by the proposed mechanism is stable, satisfies the fairness property, and yields higher profit for the participating CPs in the long run without incurring penalty cost as compared with the state-of-the-art approaches.

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“…If the task is submitted outside the mobile environment, i.e., the cloud, then there is an issue called as resource scheduling. In recent years, many researchers made a contribution for efficient resource allocation strategies in the cloud [7][8][9]. Abolfazli et al [1] made a survey on research challenges in MCC.…”

Section: Introductionmentioning

confidence: 99%

Architecture for Fault Tolerance in Mobile Cloud Computing using Disease Resistance Approach

Dasari

Saritha

2022

Int. j. commun. netw. inf. secur.

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The mobile cloud computing (MCC) is one of the emerging fields in the distributed computing. MCC is an integration of both mobile computing and cloud computing. The limitations of the mobile devices are storage, battery and processing proficiency.These sensitive characteristics of mobile devices can be effectively handled with the introduction of cloud computing. The increasing functionality of the cloud and complexity of the applications causes resource failures in the cloud computing and it reduces the overall performance of the MCC environment. On the other hand, the existing approaches for resource scheduling in MCC proposed several architectures and they are only concentrated on the allocation of resources. The existing architectures are lack of fault tolerance mechanism to handle the faulty resources. To overcome the issues stated above, this paper proposes architecture for fault tolerance in MCC using Disease Resistance approach (DRFT). The main aim of the DRFT approach is to effectively handle the faultyVMs in the MCC. This DRFT approach utilizes the human disease resistance mechanism which is used as materials and methods in the proposed model. The DRFT is capable of identifying the faulty virtual machines and reschedules the tasks to the identified suitable virtual machines. This procedure ultimately leads to minimization of makespan value and it improves the overall performance of the scheduling process. To validate the effectiveness of the proposed approach, a series of simulations has been carried out using CloudSim simulator. The performance of the proposed DRFT approach is compared with the Dynamic group based fault tolerance approach (DGFT-approach). The makespan value of DRFT is reduced to 7% and the performance of DRFT is increased when compare to the DGFT approach. The experimental results show the effectiveness of the proposed approach.

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Federation and Revenue Sharing in Cloud Computing Environment

Cited by 14 publications

References 12 publications

Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing

Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing

QoS and trust‐aware coalition formation game in data‐intensive cloud federations

Architecture for Fault Tolerance in Mobile Cloud Computing using Disease Resistance Approach

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