Infrastructure for mobile agents: Requirements and design

Aridor, Yariv; Oshima, Mitsuru

doi:10.1007/bfb0057647

Cited by 39 publications

(13 citation statements)

References 3 publications

(1 reference statement)

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“…The infrastructure work of Aridor and Oshima [AO98] provides three main forms of message delivery: location-independent using either forwarding pointers or location servers, and location dependent (they also provide other mechanisms for locating an agent).…”

Section: Related Workmentioning

confidence: 99%

Scalable Message Routing for Mobile Software Assistants

Wojciechowski

2006

Embedded and Ubiquitous Computing

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In this paper we define an algorithm for location-independent communication of mobile software Personal Assistants (PAs). The algorithm extends the Query Server with Caching algorithm that we proposed earlier, with support of message routing in the wide-area networks. Our algorithm is suitable for two kinds of PAs collaboration: (1) within a local group of mobile individuals, who can communicate frequently using different computers connected to a local-area network (possibly via a wireless medium), and (2) some individuals may also communicate via the global network and move to other groups. The algorithm has been specified formally as an executable encoding in Nomadic Pict. The formal specification is concise but gives enough details to be directly translated by application programmers using their language of choice.

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Section: Related Workmentioning

confidence: 99%

Scalable Message Routing for Mobile Software Assistants

Wojciechowski

2006

Embedded and Ubiquitous Computing

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“…The vital importance of designing efficient communication and tracking schemes for mobile agents have been highlighted in many works, such as [10,3]. Moreover, according to the experiments in [9], this is a key issue to ensure the scalability of a mobile agent platform, especially in highly dynamic contexts.…”

Section: Introductionmentioning

confidence: 99%

“…Several models for tracking agents are conceivable; thus, the work in [3] suggests three methods to locate agents (brute force, logging, and redirection), and in [15] were proposed four (updating at the home node, registering, searching, and forwarding). A new mobile agent platform, called SPRINGS [9] (Scalable PlatfoRm for movING Software) proposes a new tracking approach; in [9] has been experimentally shown to be highly scalable and how it outperforms other popular platforms, especially in environments with a high number of mobile agents.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of mobile agents tracking

Gómez-Martínez

Ilarri

Merseguer

2007

Proceedings of the 6th International Workshop on Software and Performance

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Mobile agents have arisen as an interesting paradigm to build distributed applications, due to the unparalleled advantages they offer. However, along with the advantages they also present new challenges. One of the most relevant is that it is not easy to ensure efficient communication among agents that move continually from one computer to another.In this paper, we apply SPE techniques to model and analyze how a mobile agent tracking approach addresses the highly dynamic movement problem in a distributed computing environment.

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“…They either use brute force mechanisms to find a mobile agent, log current positions at a more or less centralized server, or they set up forwarding chains to follow the route taken by agents [9]. However, maintaining replicated agents and mediating adequate replicas upon client requests is not an issue in this area.…”

Section: Foundations and Related Workmentioning

confidence: 99%

Self-Organizing Infrastructures for Ambient Services

Herrmann

Kommunikation in Verteilten Systemen (KiVS)

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In the last two decades, the advent of wireless networking technology and the achievements in the miniaturization of electronic devices have set new trends in distributed computing. This ultimately enables a new paradigm for embedding mobile users in intelligent environments that support them in their interactions with their local physical surrounding. This vision is called Ambient Intelligence (AmI). There are still many challenges ahead on the way towards the realization of AmI. One question that is central to the entire concept is: How can we render AmI systems self-organizing such that they can indeed disappear in our environment without creating a massive administrative problem?In this thesis, we propose a model for a dedicated AmI infrastructure that supports the user in his interaction with his physical environment and with external entities. This infrastructure is called Ad hoc Service Grid (ASG) and provides wireless services in a decentralized and self-organizing fashion. We identify three distinct problems associated with self-organized service provisioning in the ASG model and propose algorithms and protocols that solve them. The problem that is at the center of our work is the self-organized replication and distribution of arbitrary services in an ASG. A set of algorithms is presented that solves this problem in a completely distributed way. The two other problems we tackle are the discovery and lookup of dynamically distributed service replicas and the reconciliation among a dynamic group of replicas. Together, the mechanisms we propose lay the foundation for a general AmI software platform. We will derive the architecture of such a Serviceware from these mechanisms. Detailed experimental results are presented that show the validity of our concepts and identify ways for tailoring our algorithms and protocols to the requirements of specific applications. Furthermore, we propose a new general model and a classification methodology for self-organizing software systems. We employ this model to evaluate our own solutions.The focus of the research work presented in this thesis is on the global-scale interactions in an AmI system. We call this the macro-level of interactions to separate it from the focus of most current research projects. These projects concentrate more on adaptations at the micro-level, pertaining to the internal structures of specific applications and services. Our work complements these efforts by providing solutions for structuring AmI systems externally, for example by distributing a group of service replicas within an ASG network.

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Infrastructure for mobile agents: Requirements and design

Cited by 39 publications

References 3 publications

Scalable Message Routing for Mobile Software Assistants

Scalable Message Routing for Mobile Software Assistants

Performance analysis of mobile agents tracking

Self-Organizing Infrastructures for Ambient Services

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