ERGOT: Combining DHTs and SONs for Semantic-Based Service Discovery on the Grid
نویسندگان
چکیده
The Grid has rapidly moved from a toolkit-centered approach, composed of a set of middleware tools, toward a more application-oriented Service Oriented Architecture in which resources are exposed as services. The soaring number of available services advocates distributed and semantic-based discovery architectures. Distribution promotes scalability and fault-tolerance whereas semantics is required to provide for meaningful descriptions of services and support their efficient retrieval. Current approaches exploit either Semantic Overlay Networks (SONs) or Distributed Hash Tables (DHTs) sweetened with some ”semantic sugar”. SONs enable semantic driven query answering but are less scalable than DHTs, which on their turn, feature efficient but semantic-free query answering based on ”exact” matching. This paper presents the ERGOT system combining DHTs and SONs to enable distributed and semanticbased service discovery on the Grid. We argue that these two models can benefit from each other in the sense that SONs can be constructed by exploiting DHTs mechanisms thus enlightening the way to the semantics-free content publishing and retrieval mechanisms of the latter. In particular, ERGOT allows establishing semantic links among peers, and the SONs, by scrutinizing semantic service descriptions they advertise on the DHT. As we will show semantic links can also be viewed as semantic shortcuts on the DHT. Finally, ERGOT exploits an ad hoc semantic similarity metric to perform service matchmaking and numerically rank results .
منابع مشابه
A DHT-based semantic overlay network for service discovery
The number of available Internet services increases every day. This trend demands distributed models and architectures to support scalability as well as semantics to enable efficient publication and retrieval of services. Two common approaches toward this goal are semantic overlay networks (SONs) and distributed hash tables (DHTs) with semantic extensions. SONs enable semantic-driven query answ...
متن کاملCluster Based Cross Layer Intelligent Service Discovery for Mobile Ad-Hoc Networks
The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster basedcross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. The cluster basedarchitecture using semantic knowledge provides scalability and accuracy. Also, the mini...
متن کاملWeighted-HR: An Improved Hierarchical Grid Resource Discovery
Grid computing environments include heterogeneous resources shared by a large number of computers to handle the data and process intensive applications. In these environments, the required resources must be accessible for Grid applications on demand, which makes the resource discovery as a critical service. In recent years, various techniques are proposed to index and discover the Grid resource...
متن کاملSemantic Grid Resource Discovery using DHTs in Atlas
For the Semantic Grid vision [13] to become a reality, high quality of service must be offered to users and applications at all levels of the Grid fabric. In this position paper, we concentrate on high quality of service in the provision of resource discovery services in Semantic Grids. Resource discovery is an important problem in Grids in general, and Semantic Grids in particular. We discuss ...
متن کاملKnowledge-Based Grid Workflow System
In this paper we present design and development of the grid workflow system based on the semantic grid services. We will highlight the process of the discovery and composition of grid and web services into workflows and semantic technologies supporting the users during the workflow composition and evaluation of the results [13]. We will describe in detail the challenges of the design and develo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008