Recent Advances in Mobile Agent‐Oriented Applications

Yang, Laurence T.

doi:10.1002/9780470579398.ch6

Cited by 11 publications

(11 citation statements)

References 45 publications

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“…Mobile agents, as a code mobility paradigm, are capable of controlling their own execution and migration between networked components to execute their encapsulated programs. Already two decades ago, mobile agents were anticipated to bring intelligence and provide benefits in distributed systems [4,26,32]. Mobile agents virtualize the application execution into distributed and loosely coupled components that migrate to relocate application execution with regard to selected application-specific metrics.…”

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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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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“…A mobile agent o moves through heterogeneous networks autonomously, migrating from host to host, and interacting with other agents [7]. Agent-based distributed application design is gaining wider acceptance, as it provides an efficient and robust framework for tasks ranging from information retrieval to the administration of complex distributed systems [8]. Agents are also used in environments where intelligent software can help increase performance and reliability; such scenarios are evident in the use of agents in search and tracking applications.…”

Section: Background and Enabling Technologiesmentioning

confidence: 99%

“…As an example, a quantitative study of the effect of mobile agents on reducing communication cost, improving response time, and conserving energy is reported in [9]. Our previous work includes the application of mobile agents within the scope of the mobile data access systems and dynamically-configured sensor networks [8], [10][11][12][13][14]. Especially relevant to the proposed cyberinfrastructure is the development of a prototype mobile data access system that demonstrates the suitability and robustness of mobile agent technology in a global information sharing environment characterized by limited network bandwidth, power, and computational resources; and weak and unreliable network connectivity.…”

Section: Background and Enabling Technologiesmentioning

confidence: 99%

“…The novelty of PERCEPOLIS lies in its ability to exploit pervasive computing and communications at various levels, through the use of the agent-based middleware developed in our previous work [8]. The software agents can be launched by a user (student or instructor/advisor), an application (course scheduling, advising), or another agent.…”

Section: Background and Enabling Technologiesmentioning

confidence: 99%

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PERCEPOLIS: Pervasive Cyberinfrastructure for Personalized Learning and Instructional Support

Hurson¹,

Sedigh²

2010

IIM

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This paper describes PERCEPOLIS, an educational platform that leverages technological advances, in particular in pervasive computing, to facilitate personalized learning in higher education, while supporting a networked curricular model. Fundamental to PERCEPOLIS is the modular approach to course development. Blended instruction, where students are responsible for perusing certain learning objects outside of class, used in conjunction with the cyberinfrastructure will allow the focus of face-to-face meetings to shift from lecture to active learning, interactive problem-solving, and reflective instructional tasks. The novelty of PERCEPOLIS lies in its ability to leverage pervasive and ubiquitous computing and communication through the use of intelligent software agents that use a student’s academic profile and interests, as well as supplemental information such as his or her learning style, to customize course content. Assessments that gauge the student’s mastery of concepts are used to allow self-paced progression through the course. Furthermore, the cyberinfrastructure facilitates the collection of data on student performance and learning at a resolution that far exceeds what is currently available. We believe that such an infrastructure will accelerate the acquisition of knowledge and skills critical to professional engineering practice, while facilitating the study of how this acquisition comes about, yielding insights that may lead to significant changes in pedagogy

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“…Many researchers have proposed various design, implementations, applications, and platforms of mobile agent systems [10,19]. However, mobile agent technologies are not used much as compared to other networking or programming technologies in the real world because migrations of mobile agents make it difficult to debug the system.…”

Section: Introductionmentioning

confidence: 99%

Debugging Mobile Agent Systems

Higashino

Osaki

Otagaki

et al. 2013

Proceedings of International Conference on Information Integration and Web-Based Applications &Amp; Services

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A mobile agent is an autonomous software module that can migrate between different computers. A mobile agent is designed and implemented like a human, and mobile agents work together by interactions among them like a human community. Thus, a mobile agent technology is helpful when we develop distributed systems with an easy-to-understand design and implementations for humans. Many researchers have proposed various applications through mobile agent technologies. However, mobile agent technologies are not used much as compared to other networking or programming technologies in the real world because migrations of mobile agents make it difficult to debug the system. This paper discusses problems of mobile agents for debugging, and proposes a remote debugger in order to solve these problems. Our proposed remote debugger supports functions of searching, single stepping execution, breaking, and viewing variables for a mobile agent who behaves with migrations on a running system.

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Recent Advances in Mobile Agent‐Oriented Applications

Cited by 11 publications

References 45 publications

Energy efficient opportunistic edge computing for the Internet of Things

Energy efficient opportunistic edge computing for the Internet of Things

PERCEPOLIS: Pervasive Cyberinfrastructure for Personalized Learning and Instructional Support

Debugging Mobile Agent Systems

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