10 research outputs found
An overview of UNP
A brief introduction to the Universal Naming Protocol (UNP) is presented. UNP specifies a generic attribute-based name server upon which a variety of high-level naming services, including white- and yellow-page services, can be built
A Taxonomy of Self-configuring Service Discovery Systems
We analyze the fundamental concepts and issues in service
discovery. This analysis places service discovery in the context of distributed
systems by describing service discovery as a third generation
naming system. We also describe the essential architectures and the
functionalities in service discovery. We then proceed to show how service
discovery fits into a system, by characterizing operational aspects.
Subsequently, we describe how existing state of the art performs service
discovery, in relation to the operational aspects and functionalities, and
identify areas for improvement
Univers: The construction of an internet-wide descriptive naming system
Descriptive naming systems allow clients to identify a set of objects by description. Described here is the construction of a descriptive naming system, called Univers, based on a model in which clients provide both an object description and some meta-information. The meta-information describes beliefs about the query and the naming system. Specifically, it is an ordering on a set of perfect world approximations, and it describes the preferred methods for accommodating imperfect information. The description is then resolved in a way that respects the preferred approximations
Effective information sharing using update logs
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.Includes bibliographical references (leaves 80-88).by James William O'Toole, Jr.Ph.D
Content routing : a scalable architecture for network-based information discovery
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.Includes bibliographical references (p. 134-141).by Mark A. Sheldon.Ph.D
Constructing highly-available distributed metainformation systems
PhD ThesisThis thesis demonstrates the adequacy of an object-oriented approach to the construction
of distributed metainformation systems: systems that facilitate information
use by maintaining some information about the information.
Computer systems are increasingly being used to store information objects
and make them accessible via network. This access, however, still relies on an
adequate metainformation system: there must be an effective means of specifying
relevant information objects. Moreover, distribution requires the metainformation
system to cope well with intermittent availability of network resources.
Typical metainformation systems developed to date permit information objects
to be specified by expressing knowledge about their syntactic properties,
such as keywords. Within this approach, however, query results are potentially
too large to be transmitted, stored and treated, at reasonable cost and time.
Users are therefore finding it difficult to navigate their way through the masses of
information available.
In contrast, this thesis is based on the principle that a metainformation system
IS more effective if it permits information objects to be specified according to
their semantic properties, and that this helps managing, filtering and navigating
information. Of particular interest is object orientation because it is the stateof-
the-art approach to both the representation of information semantics and the
Abstract 11
design of reliable systems.
The thesis presents the design and implementation of a programming toolkit
for the construction of metainformation systems, where information objects can
be any entity that contains information, the notion of views permits organising
the information space, transactional access is employed to obtain consistency, and
replication is employed to obtain high availability and scalability.Conselho Nacional de
Pesquisa e Desenvolvimento (CNPq, Brazil), grant number 201905/91.4