Agent-Based Cloud Computing: A Survey

Hafez, Mohamed Galal; El-Gamel, Mohamed

doi:10.1109/ficloud.2016.48

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…In the cloud computing context, multi-agent negotiation has been used for service composition and elasticity management [49]. For instance, An et al [50] propose a one-tomany negotiation solution to handle resource allocation in the cloud.…”

Section: Cloud Elasticity Managementmentioning

confidence: 99%

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

et al. 2021

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Quality of Experience (QoE) is defined as the measure of end-user satisfaction with the service. Existing works addressing QoE-management rely on a binary vision of end-user satisfaction. This vision has been criticized by the growing empirical evidence showing that QoE is rather a degree. This article aims to go beyond the binary vision and propose a QoE management mechanism. We propose a one-to-many negotiation mechanism allowing the provider to undertake satisfaction management: to meet fine-grained user QoE goals, while still minimizing the costs. This problem is formulated as an optimization problem, for which a linear model is proposed. For reference, a generic linear program solver is used to find the optimal solution, and an alternative heuristic algorithm is devised to improve the responsiveness when the system has to scale up with a fast growing number of users. Both are implemented and experimentally evaluated against state-of-the-art one-to-many negotiation frameworks.

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Section: Cloud Elasticity Managementmentioning

confidence: 99%

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

et al. 2021

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“…The interacting agents with cloud shape a new discipline called agent-based cloud computing. Multiple agents allow cloud computing to be more flexible and more autonomous [156]. MAS technologies have been used to decentralize the elasticity management decision [157].…”

Section: Architecturementioning

confidence: 99%

Elasticity in Cloud Computing: State of the Art and Research Challenges

Al-Dhuraibi¹,

Paraïso

Djarallah³

et al. 2018

IEEE Trans. Serv. Comput.

309

134

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International audienceElasticity is a fundamental property in cloud computing that has recently witnessed major developments. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. It also discusses major issues and research challenges related to elasticity in cloud computing. We comprehensively review and analyze the proposals developed in this field. We provide a taxonomy of elasticity mechanisms according to the identified works and key properties. Compared to other works in literature, this article presents a broader and detailed analysis of elasticity approaches and is considered as the first survey addressing the elasticity of containers

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“…Architectures and use cases for IoT systems, that utilize software agents, have been presented in [2,3,7,16,17,19,23,24,27,29,33,47,51,61,64,71]. As presented, an agent-based IoT architecture is multilayered, where the agents operate on different roles on each layer for the management, control, coordination and organization of system components and to connect components into the system.…”

Section: Edge Computing With Mobile Agentsmentioning

confidence: 99%

Energy efficient opportunistic edge computing for the Internet of Things

Leppänen

Riekki

2019

WEB

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Edge computing in Internet of Things enhances application execution by retrieving cloud resources to the close proximity of resource-constrained end devices at the edge and by enabling task offloading from end devices to the edge. In this paper, edge computing platforms are extended into the data producing end devices, including wireless sensor network nodes and smartphones, with mobile agents. Mobile agents operate as a multi-agent system on the opportunistic network of heterogeneous end devices, where the benefits include autonomous, asynchronous and the adaptive execution and relocation of application-specific tasks, while taking into account local resource availability. In addition to the vertical edge connectivity, mobile agents enable horizontal sharing of the information between end devices. Use cases are presented, where mobile agents address challenges in current edge computing platforms. An edge application is evaluated, where mobile agents as a multi-agent system process sensor data in a heterogeneous set of end devices, control the operation of the devices and share their results with system components. Mobile agents operate atop a REST-based mobile agent software framework that relies on embedded Web services for interoperability. A real-world evaluation and large-scale simulations show that energy consumption is reduced significantly in the edge application execution.

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Agent-Based Cloud Computing: A Survey

Cited by 7 publications

References 37 publications

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

One-to-Many Negotiation QoE Management Mechanism for End-User Satisfaction

Elasticity in Cloud Computing: State of the Art and Research Challenges

Energy efficient opportunistic edge computing for the Internet of Things

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