Agent mobility architecture based on IEEE-FIPA standards

Cucurull, Jordi; Martí, Ramon; Navarro‐Arribas, Guillermo; Robles, Sergi; Overeinder, B.J.; Borrell, Joan

doi:10.1016/j.comcom.2008.11.038

Cited by 16 publications

(7 citation statements)

References 26 publications

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“…Mobile agent, emerging from the distributed artificial intelligence field, is characterized by distributively executing the tasks in parallel based on autonomous entities, named as agents (Cucurull et al 2009). Agent based technology has been applied in a variety of different areas, such as e-business, transportation, process control, telecommunications, health care, semiconductor industry, workflow management, routing and resource scheduling (Tripathi et al 2002;Monostori et al 2006;Chen and Wang 2014;Hsieh and Lin 2014;Archimede et al 2014;Bandyopadhyay and Bhattacharya 2015).…”

Section: Mobile Agent Technologymentioning

confidence: 99%

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

et al. 2015

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Advances in cloud computing reshape the manufacturing industry into dynamically scalable, on-demand service oriented, and highly distributed cost-efficient business model. However it also poses challenges such as reliability, availability, adaptability, and safety on machines and processes across spatial boundaries. To address these challenges, this paper investigates a cloud-based paradigm of predictive maintenance based on mobile agent to enable timely information acquisition, sharing and utilization for improved accuracy and reliability in fault diagnosis, remaining service life prediction, and maintenance scheduling. In the new paradigm, a low-cost cloud sensing and computing node is firstly developed with embedded Linux operating system, mobile agent middleware, and open source numerical libraries. Information sharing and interaction is achieved by mobile agent to distribute the analysis algorithms to cloud sensing and computing node to locally process data and share analysis results. Comparing to the commonly used clientserver paradigm, the mobile agent approach enhances the system flexibility and adaptability, reduces raw data transmission, and instantaneously responds to dynamic changes of operations and tasks. Finally, the presented cloud-based paradigm of predictive maintenance is validated on a motor tested system.

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Section: Mobile Agent Technologymentioning

confidence: 99%

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

et al. 2015

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“…Different agents based on modelled business processes are stored within an agent repository. To be able to move a JADE agent to a running cloud instance, the Inter-Platform Mobility Service (IPMS) by Cucurull et al [ 43 ] was integrated. This supports the presented advantage of deploying agents on demand if a designed business process fl ow was started -although this implementation has been reserved for future work.…”

Section: Saaas Agent Prototypementioning

confidence: 99%

Understanding Cloud Audits

Doelitzscher

Reich

Knahl

et al. 2012

Computer Communications and Networks

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Audits of IT infrastructures can mitigate security problems and establish trust in a provider's infrastructure and processes. Cloud environments especially lack trust due to non-transparent architectures and missing security and privacy measures taken by a provider. But traditional audits do not cover cloud computing-speci fi c security. To provide a secure and trustable cloud environment, audit tasks need to have knowledge about their environment and cloud-speci fi c characteristics. Furthermore, they need to be automated whenever possible to be able to run on a regular basis and immediately if a certain infrastructure event takes place, like deployment of a new cloud instance. In this chapter, research about cloud-speci fi c security problems and cloud audits gets presented. An analysis about how traditional audits need to change to address cloud-speci fi c attributes is given. Additionally, the agent-based "Security Audit as a Service" architecture gets presented as a solution to the identi fi ed problems.

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“…Different agents based on modelled business processes are stored within an agent repository. To be able to move a JADE agent to a running cloud instance the Inter Platform Mobility Service (IPMS) by Cucurull et al [45] was integrated. This supports the presented advantage of deploying agents ondemand if a designed business process flow was started (as described in (Section How agents can improve incident detection).…”

Section: Saaas Agent Prototypementioning

confidence: 99%

An agent based business aware incident detection system for cloud environments

Doelitzscher

Reich

Knahl

et al. 2012

Journal of Cloud Computing: Advances, Systems and Applications

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Classic intrusion detection mechanisms are not flexible enough to cope with cloud specific characteristics such as frequent infrastructure changes. This makes them unable to address new cloud specific security issues. In this paper we introduce the cloud incident detection system Security Audit as a Service (SAaaS). It is built upon intelligent autonomous agents, which are aware of underlying business driven intercommunication of cloud services. This enables the presented SAaaS architecture to be flexible and to supported cross customer event monitoring within a cloud infrastructure. A contribution of this paper it to provide a high-level design of the SAaaS architecture, an introduction into the proposed Security Business Flow Language (SBFL), a first prototype of an autonomous agent and an evaluation about, which cloud specific security problems are addressed by the presented architecture. It is shown that autonomous agents and behaviour analysis are fertile approaches to detect cloud specific security problems and can create a cloud audit system.

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Agent mobility architecture based on IEEE-FIPA standards

Cited by 16 publications

References 26 publications

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

Understanding Cloud Audits

An agent based business aware incident detection system for cloud environments

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