SAFE TUPLESPACE-BASED COORDINATION IN MULTIAGENT SYSTEMS.

Saved in:
Bibliographic Details
Title: SAFE TUPLESPACE-BASED COORDINATION IN MULTIAGENT SYSTEMS.
Authors: Minsky, Naftaly H.1, Minsky, Yaron M.2, Ungureanu, Victoria1
Source: Applied Artificial Intelligence. Jan2001, Vol. 15 Issue 1, p11-33. 23p.
Subjects: LINDA (Computer system), Computer systems, Parallel programming
Abstract: Linda is a high-level coordination model that allows agents to interact via shared tuplespaces without knowing each other's identities and without having to arrange for a definite rendezvous. This high level of abstraction would make Linda particularly suitable for use as a coordination model for heterogeneous distributed systems, if it were not for the fact that the Linda communication is unsafe. In order to enhance the safety of tuplespaces, this article introduces a mechanism for establishing security policies that regulate agent access to tuplespaces. This mechanism is based on a previously published concept of law-governed interaction. It makes a strict separation between the formal statement of a policy, which one calls a "law," and the enforcement of this law, which is carried out by a set of policy-independent trusted controllers. A new policy under this scheme is created basically by formulating its law, and can be easily deployed throughout a distributed system. Two example policies are discussed here in detail: one ensures a secure bidding policy; the other prevents denial of service, by regulating the flow of requests sent to the tuplespaces. [ABSTRACT FROM AUTHOR]
Copyright of Applied Artificial Intelligence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 3953945
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: SAFE TUPLESPACE-BASED COORDINATION IN MULTIAGENT SYSTEMS.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Minsky%2C+Naftaly+H%2E%22">Minsky, Naftaly H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Minsky%2C+Yaron+M%2E%22">Minsky, Yaron M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ungureanu%2C+Victoria%22">Ungureanu, Victoria</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Artificial+Intelligence%22">Applied Artificial Intelligence</searchLink>. Jan2001, Vol. 15 Issue 1, p11-33. 23p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22LINDA+%28Computer+system%29%22">LINDA (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programming%22">Parallel programming</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Linda is a high-level coordination model that allows agents to interact via shared tuplespaces without knowing each other's identities and without having to arrange for a definite rendezvous. This high level of abstraction would make Linda particularly suitable for use as a coordination model for heterogeneous distributed systems, if it were not for the fact that the Linda communication is unsafe. In order to enhance the safety of tuplespaces, this article introduces a mechanism for establishing security policies that regulate agent access to tuplespaces. This mechanism is based on a previously published concept of law-governed interaction. It makes a strict separation between the formal statement of a policy, which one calls a "law," and the enforcement of this law, which is carried out by a set of policy-independent trusted controllers. A new policy under this scheme is created basically by formulating its law, and can be easily deployed throughout a distributed system. Two example policies are discussed here in detail: one ensures a secure bidding policy; the other prevents denial of service, by regulating the flow of requests sent to the tuplespaces. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Artificial Intelligence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=3953945
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/08839510150204590
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 11
    Subjects:
      – SubjectFull: LINDA (Computer system)
        Type: general
      – SubjectFull: Computer systems
        Type: general
      – SubjectFull: Parallel programming
        Type: general
    Titles:
      – TitleFull: SAFE TUPLESPACE-BASED COORDINATION IN MULTIAGENT SYSTEMS.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Minsky, Naftaly H.
      – PersonEntity:
          Name:
            NameFull: Minsky, Yaron M.
      – PersonEntity:
          Name:
            NameFull: Ungureanu, Victoria
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2001
              Type: published
              Y: 2001
          Identifiers:
            – Type: issn-print
              Value: 08839514
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Applied Artificial Intelligence
              Type: main
ResultId 1