首页 软考

Technologies for the Development of Agent-based Distributed Applications[6]

软考 ft15464493 浏览 930

InteroperabilityThemostimportantattempttostandardizeagentsysteminteractionssofarisMobileAgentSystemInteroperabilityFacilities(MASIF)bytheObjectManagementGroup[12].Itspecifiesactionslikeagentandclass/objecttransferaswellasagentmanagementandlocationservices.Un

Interoperability

The most important attempt to standardize agent system interactions so far is Mobile Agent System Interoperability Facilities (MASIF) by the Object Management Group [12]. It specifies actions like agent and class/object transfer as well as agent management and location services. Unfortunately, almost none of the available agent systems currently are MASIF-compliant, although for the predominant systems, their developers have announced MASIF-conformance for the future. The standard's scope is remarkably limited. For example, it does not address issues like cross-platform migration of agents.

Conclusions

With only basic technologies available for migration, execution, and security issues (with the exception of the problem of malicious hosts, which seems intractable if only software solutions are attempted), much work remains to be done to support agent system interoperability. Additionally, as for the practical use of mobile agent technology as a means for distributed applications development, the question of availability and applicability of design methods arises. Despite being such a new field, agent-based development of applications has already seen quite a number of proposals for programming or design methods, for example Gaia, MaSE, and AOR [14]. One restriction that all of the mentioned methods share is the assumption that agent abilities (functions) are static at runtime. Therefore, they are not suitable for the development of systems whose interactions should be knowledge-based. While there are several analysis and design methods available, one crucial question that is waiting to be answered is performance measurement [5]. Without good models to compare conventional and mobile agent designs in terms of efficiency, the entire field will remain of academic interest only.

Outlook

Mobile agent computing is still a young and immature technology. Several issues have not been resolved satisfactorily to date, among them the problem of malicious hosts, systems interoperability, and the question of performance measurement. Yet the technology has the potential to facilitate improvements in distributed systems development.

One of the strengths of mobile agent computing is the possibility of moving complex processing functions to the location where huge amounts of data are to be processed. While on the Internet, it is unlikely that an infrastructure facilitating the widespread use of mobile agent computing will be in place in the near future, mobile agent could become a key technology for knowledge-management solutions in large corporations' intranets. Similarly to the situation on the Internet, there are huge amounts of information in numerous servers, stored in files which cannot simply be scanned like plain text, that nobody can really make use of because they cannot find it. A distributed information retrieval/knowledge management solution built with mobile agent technology could help improve this situation.

Another area where agent technology could play a central role is 3G cellular networking. Consider, for example, the so-called Virtual Home Environment (VHE), which is part of the Universal Mobile Telecommunications System (UMTS) specification. VHE is intended to serve the purpose of universal access to personalized services (like e-mail, banking, etc.) from any network. This is exactly the heterogeneous, unreliable computing environment that mobile agent computing is made for.

There are numerous similar scenarios for the future, for example in the context of ongoing rapid growth of the Internet. However, it seems that the "solution in search of a problem," as some scientists call mobile agents, could, from today's perspective, indeed eventually find several problems to solve.

References

1

Baumann, J., et al. Mole—concepts of a mobile agent system. In Mobility: Processes, Computers, and Agents, edited by D. Milojicic, F. Douglis, and R. Wheeler. Stuttgart, Germany: Universit?t Stuttgart, Fakult?t Informatik, 1999.

2

Braun, P. über die Migration bei mobilen Agenten. In Jenaer Schriften zur Mathematik und Informatik Nr. 99/13, Jena, Germany: Friedrich-Schiller-Universit?t Jena, Institut f黵 Informatik, 1999.

3

Broos, R., et al. Mobile Agent Platform Assessment Report. Contribution to the EU Advanced Communications Technology and Services (ACTS) Programme, 2000. < http://www.fokus.gmd.de/research/cc/ecco/climate/ap-documents/miami-agplatf.pdf> (29 October 2001).

4

Chen, H. Developing a Distributed Dynamic Intelligent Agent Framework Based on the JINI Architecture. PowerPoint presentation, < http://gentoo.cs.umbc.edu/ronin/doc/msthesis.ppt> (28 October 2001).

[1]  [2]  [3]  [4]  [5]  [6]  [7]  

责任编辑:ft15464493|希赛教研中心

希赛教研中心拥有一支规模200余人的专职教研团队,深耕项目管理、软考、通信工程师、金融财会、厂商认证、考博英语等方向,形成“讲师+助教+班主任+智能学习平台”协同联动的完整教学服务体系:讲师讲透方法、助教盯住进度和答疑、班主任守住节奏、智能平台记录每一步成长——环环相扣,让学员的备考全程有人陪、有反馈、有结果。 师资力量雄厚。主要讲师毕业于 985/211 等知名高校,并拥有海外留学归国人才;职称梯队完善,高、中级职称讲师结构合理,讲师持有软考高级资格证书、PMI系列认证、CSPM高级项目管理培训师证、PeopleCert认证、DAMA认证、英语专八(TEM-8)、PETS-5、华为HCIE、经济师、一级建造师等行业权威资质,兼具深厚理论功底与丰富实战经验。 教研成果卓越。教研团队成员深度参与多项国家标准的研制工作,是 GB/T 47282-2026《项目重大节点评审规范》、GB/T 47285-2026《项目商业分析指南》、GB/T 30339-2026《项目和项目群后评价指南》、GB/T 46210-2025《项目成本管理指南》等国家标准的主要起草人,并担任《中国项目管理知识体系指南》总体编写专家组成员。团队累计主编出版专业图书与教材一百多种,覆盖软考、通信工程师、PMP、CSPM、NPDP等多个认证方向。 教学成效显著。 依托希赛自主研发的开放式智能互动学习平台,团队累计服务学员超百万人,帮助众多学员顺利通过软考、 PMP、CSPM、NPDP、华为认证、通信工程师、管理类联考、考博英语等考试,大批学员考入 985、211 等知名高校深造,以专业与口碑赢得学员和行业的广泛认可。

📅 本文最后更新于 2026-04-03

温馨提示:因考试政策、内容不断变化与调整,本网站提供的以上信息仅供参考,如有异议,请考生以权威部门公布的内容为准!
题库
章节练习
章节练习
章节专项突破
模拟考场
模拟考场
海量免费试题
每日一练
每日一练
每天10题练习
习题练习
习题练习
核心知识点练习
高频错题
高频错题
错题突破集训
分享至