An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach

Kendrick, Philip; Baker, Thar; Maamar, Zakaria; Hussain, Abir Jaafar; Buyya, Rajkumar; Al‐Jumeily, Dhiya

doi:10.1109/tsusc.2018.2881416

Cited by 21 publications

(13 citation statements)

References 30 publications

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“…Gutierrez-Garcia et al [4] developed an MAS where a horizontal composition integrated heterogeneous services scattered across several clouds, and a vertical composition put homogeneous resources together to expand the capacity of the cloud. Kendrick et al [5] proposed an energy efficient service composition method consisting of agent-matchmakers that worked on behalf of the user to process requests and agent representatives that mediated communications between the matchmaker and cloud data center. Kim [6] proposed a multiagent-based negotiation mechanism that established a service level agreement among cloud stakeholders for service composition.…”

Section: Preliminarymentioning

confidence: 99%

Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System

Lee

2020

Sustainability

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It has been found that a cloud building energy management system (BEMS) alone cannot support increasing numbers of end devices (e.g., energy equipment and IoT devices) and emerging energy services efficiently. To resolve these limitations, this paper proposes Fog BEMS, which applies an emerging fog computing concept to a BEMS. Fog computing places small computing resources (fog nodes) just next to end devices, and these nodes process data in real time and manage local contexts. In this way, the BEMS becomes distributed and scalable. However, existing fog computing models have barely considered scenarios where many end devices and fog nodes are deployed and interconnected. That is, they do not scale up and cannot be applied to scalable applications like BEMS. To solve the problem, this paper (i) designs a fog network where a list of functionally heterogeneous nodes is deployed in a hierarchy for collaboration and (ii) designs an agent-based, modular programming model that eases the development and management of computing services at a fog node. We develop a prototype of a fog node and build a real-world testbed on a campus to demonstrate the feasibility of the proposed system. We also conduct experiments, and results show that Fog BEMS is scalable enough for a node to connect up to 900 devices and that network traffic is reduced by 27.22–97.63%, with varying numbers of end devices.

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Section: Preliminarymentioning

confidence: 99%

Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System

Lee

2020

Sustainability

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“…Based on task relatedness and temporal dependencies between CMfg services in workflow, Li et al [33] presented a two-stage composition method for resourceservice chain. For multidata centers, Kendrick et al [34] proposed a multiagent-based service composition approach for the efficient retrieval of distributed services and propagation of information within the agent network, which reduced the amount of brute-force search to improve efficiency. To detect security, privacy, and trustworthiness violations of service compositions, Asim et al [35] presented a monitoring framework for SOA-based systems, which was only one building block of a holistic approach for the secure and trustworthy construction and execution of service compositions, but it was implemented as a stand-alone package which could be applied in diverse service orchestrating platforms.…”

Section: Optimization and Composition Of Servicementioning

confidence: 99%

Building Innovative Service Composition Based on Two-Way Selection in Cloud Manufacturing Environment

Zhao

Zhou

et al. 2020

Mathematical Problems in Engineering

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In the cloud manufacturing environment, innovative service composition is an important way to improve the capability and efficiency of resource integration and realize the upgrading and transformational upgrade of the manufacturing industry. In order to build a stable innovative service composition, we propose a novel composite model, which uses two-way selection according to their cooperation to recommend the most suitable partners. Firstly, a rough number is applied to quantify the semantic evaluation. Using the expectation of cooperative condition as reference points, prospect theory is then applied to calculate the cooperative desires for both sides based on participants’ psychological attitudes toward gains and losses. Next, the cooperative desires are used to establish the two-way selection model of innovative service composition. The solution is determined by using an improved teaching-learning-based optimization algorithm. Compared with traditional combined methods in the cloud manufacturing environment, the proposed model fully considers the long-neglected needs and interests of service providers. Prospect theory takes psychological expectations and varying attitudes of decision makers towards gains and losses into account. Moreover, an interval rough number is used to better preserve the uncertain information during semantic quantification. Experimental results verify the applicability and effectiveness of the proposed method.

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“…An agent multi-cloud service composition problem has been presented in [55]. However, the problem of cooperation involves multi-agents that decide to cooperate together based on their inner capabilities to achieve the required task is more complex task.…”

Section: Agents and Agent Capabilitiesmentioning

confidence: 99%

Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets

et al. 2019

Self Cite

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Most Internet of Things (IoT)-based service requests require excessive computation which exceeds an IoT device's capabilities. Cloud-based solutions were introduced to outsource most of the computation to the data center. The integration of multiagent IoT systems with cloud computing technology makes it possible to provide faster, more efficient and real-time solutions. Multi-agent cooperation for distributed systems such as fog-based cloud computing has gained popularity in contemporary research

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An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 21 publications

References 30 publications

Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System

Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System

Building Innovative Service Composition Based on Two-Way Selection in Cloud Manufacturing Environment

Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets

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