A mobile agent architecture for heterogeneous devices

2001

Over the last couple of years we have been working on the development of mobile agents systems and its application to the areas of telecommunications and network management. This work path produced positive results: a competitive mobile agent platform was built, the run-time benefits of mobile agents were proved, and our industrial partners have developed practical applications that are being integrated into commercial products.

Conceptual Modeling—ER' …, 1997

In this paper we propose a new mobile system architecture, called the Client-Representative-Agent-Server (CRAS) architecture. While developing this architecture, an attempt is being made to keep CRAS compatible existing distributed object management frameworks and standards.

2003

Currently, the technologies of hardware and software about the Internet and information processing are developed in a very high pace. Applying these new technologies into the area of information retrieval is very successful. Because of the importance of information retrieval via the network, there are lots of prior studies dedicated in these related topics, and they have already got plenty of successful outcomes, but most of those researches always assume that the platforms by means of those technologies have good quality networks and high computing power CPU. For those poor quality networks, low computing power CPU, and resource-constrained mobile devices, obviously, most of the previous research outcomes usually can't be easily adopted. The objective of this dissertation is to study such resource-constrained mobile computing circumstances for information retrieval and related applications, and to propose a feasible framework to solve such situation. In this dissertation, we take care all situations that a mobile user may run into, and then propose a framework for the mobile devices with low-computing-power and poor-quality-networks to retrieval the information he is interested in from the network. In our design, a mobile user can retrieve the information from the network or the Internet via his/her networked mobile device. The mobile devices may include mobile phones, PDA, or mini-notebook PCs. Because the interface and operating model of those mobile devices are very diverse, to uniform the user interface among these devices, we utilize e-mail protocol and mobile agent technologies for the user to retrieve the information from the network or the Internet. Because the e-mail is one of the most popular applications for all networked devices, and the e-mail protocol and e-mail client operation are common and uniform in those networked devices, the information retrieval operating interface will be unified. That is, the user may utilize the unified interface of our proposed framework to design, operate, and execute some iii mobile agents in the server-side, and those mobile agents will retrieve the information for the user in a very good computing environment. The user doesn't need to worry about what kind of the mobile device he/she will use in the whole information retrieval process.

Mobile agent technology has grown in acceptance over the years for distributed applications, but it is yet to be adopted as ubiquitous solution technique. This is due to its complexity and lack of interoperability. Mobile agent executes on mobile agent platform, these platforms from different vendors are design, and language specific, and are thus non interoperable. In other words mobile agent built on one platform cannot interact with or execute on any other platform. There is a need to provide a common base on which agents from different vendors can interact and interoperate. This work presents a framework for mobile agent interoperability by providing an Embedded Mobile Agent (EMA) system into the Windows Operating System kernel so that it can run as a service; this was done to eliminate the overheads associated with the agent platforms and enhance mobile agents’ interoperability. The targeted OS were Windows XP, Windows Vista and Windows7. https://sites.google.com/site/ijcsis/

Second Pervasive Computing Workshop of ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA’02), Vancouver, British Columbia, Canada, 2002

The recent evolution of small-sized electronic devices and their growing computational power turned the concept of pervasive computing into a reality not very distant in the future. Researchers are currently developing systems to provide the basic software infrastructure needed for next generation pervasive computing environments. In these systems, however, the possibilities offered by the use of mobile agents are being overlooked. In this paper, we argue that mobile agents, due to its inherent flexibility, can ...

International Journal of Web and Grid Services, 2006

Mobile computing radically challenges some of the traditional assumptions associated with the software development lifecycle, and end-user behaviour. Successfully meeting these challenges is of fundamental importance if mobile computing is to fulfil its considerable potential. One approach to this concerns the prudent and selective adoption of intelligent techniques. However, reconciling the conflicting demands of deploying sophisticated resource-intensive computational algorithms on devices that are inherently resource-poor raises significant difficulties. Recent developments in intelligent agent technologies offer one viable approach to resolving this conflict. This paper explores the state-of-the-art in mobile computing and intelligent agents. In particular, issues pertinent to the deployment of agents on mobile devices are considered in detail. To illuminate this discussion, the implementation of one such framework is described.

Lecture Notes in Computer Science, 2004

This paper presents framework that can be used for improving working conditions. We have extended intelligent agents technology for the Internet with cell phone technology. This extension allows the mobile worker to have access to the full power of server based computation using cheaper, smaller mobile devices. The most demanding part of the computation is performed by agents running on Internet servers while cell phone computations are concerned only with the interface between end-users and server-based agents. Although we have focused only on Cell Phones, the same technology can be used with Pocket PCs, PDAs and other mobile devices.

2010

There exist distributed scenarios in which the need for dynamism, mobility, and adaptivity, has to be addressed with highly dynamical approaches. These scenarios present different challenges and difficulties: efficient access to heterogeneous and distributed data sources, dynamic load balancing, unstable connections and communication failures, etc. So, different approaches and middleware have appeared to tackle these challenges and help the developer of distributed applications. In particular, mobile agent technology can provide significant advantages for the development of applications in these contexts.

Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003. Proceedings., 2003

The Mobile Agents model has the potential to provide a flexible framework to face the challenges of High Performance Computing, especially when targeted towards heterogeneous distributed architectures. We developed a framework for supporting programming and execution of mobile agent based distributed applications, the MAGDA (Mobile AGents Distributed Applications) toolset. It supplements mobile agent technology with a set of features for supporting parallel programming on a dynamic heterogeneous distributed environment.

International Journal of Current Microbiology and Applied Sciences

The recent evolution of small-sized electronic devices and their growing computational power turned the concept of pervasive computing into a reality not very distant in the future. Researchers are currently developing systems to provide the basic software infrastructure needed for next generation pervasive computing environments. In these systems, however, the possibilities offered by the use of mobile agents are being overlooked. In this paper, we argue that mobile agents, due to its inherent flexibility, can bring a number of benefits to pervasive computing systems. Furthermore, we propose a novel architecture that uses mobile agents to perform three common tasks of pervasive computing more efficiently: system adaptation, component updates and QoS negotiation. * This research is supported by grants from CNPq-Brazil (Kit Enxoval proc. 68.0118/01-2) and FAPESP-Brazil (proc. 01/03861-0).

Acj, 2005

In this paper we present a comprehensive study of mobile agent applications. We classify the application fields as follows: Network monitoring and management, information searching and filtering, multimedia, Internet, intrusion detection, telecommunications, military, and others. We discuss the potential uses of mobile agents in the various fields and present the many systems and architectures that have been proposed and implemented. Furthermore, we describe ongoing efforts to integrate currently implemented technologies with mobile agent technology. For each of the application fields, we list statistics showing the distribution of research output according to certain criteria such as article type and application field. We end each section with a summary of the work done and provide directions for future work. Finally, we conclude with suggestions about promising research areas involving mobile agents.

2006

This paper presents a deliberative architecture based on the concept of CBP-BDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of a multiagent system that has been constructed for the management of some aspects of a shopping mall, specially the interaction with clients, so the aim is to get the portability of a CBP-BDI agent to mobile devices. The system has been tested and this paper presents the results obtained.

International Journal of Computer Applications, 2016

Mobile agents are becoming pre-eminent by not only outperforming in comparison with the conventional techniques such as RMI, RPC etc. but also by surpassing their loopholes. They promise to solve many major issues of high network bandwidth consumption during communication, bottleneck problem of centralized system, even can act as intrusion detection agents, and may also be used as monitoring of various nodes in multifarious domains like e-commerce services, for load balancing in cluster, health care monitoring systems, air traffic control systems, and many more. In this paper, the agent server required to allow mobile agents on any machine in network are compared for homogenous and heterogeneous nodes. The homogeneity and heterogeneity of nodes is defined at the hardware level and type of OS installation. Basically, a mobile agent is moving the code to data rather data to code. Agent and agent server are two different parts, in which agent is a computational, operational and communicative entity while the agent server takes care of fundamentals execution and security features. To all intents and purposes, these agent servers help mobile agents to interact and engage with the underlying system acting as an execution environment for them. Agent servers, also called as agency or agent runtime environment, may differ for different platforms and this contrast lies in the software architectural components which they contribute being a middle layer in between the mobile agents and system platform. This paper focuses on architectural dissimilitude between agencies of heterogeneous and homogeneous distributed systems.

2009

Mobile agent technology has traditionally been recognized as a very useful approach to build applications for mobile computing and wireless environments. However, only a few studies report practical experiences with mobile agents in a mobile medium. This leads us to the following question: can current mobile agent platforms be used effectively in environments with mobile devices?