Open Grid Services Infrastructure Research Articles

Toward a Grid-Based Zero-Latency Data Warehousing Implementation for Continuous Data Streams Processing

Continuous data streams are information sources in which data arrives in high volume in unpredictable rapid bursts. Processing data streams is a challenging task due to (1) the problem of random access to fast and large data streams using present storage technologies and (2) the exact answers from data streams often being too expensive. A framework of building a Grid-based Zero-Latency Data Stream Warehouse (GZLDSWH) to overcome the resource limitation issues in data stream processing without using approximation approaches is specified. The GZLDSWH is built upon a set of Open Grid Service Infrastructure (OGSI)-based services and Globus Toolkit 3 (GT3) with the capability of capturing and storing continuous data streams, performing analytical processing, and reacting autonomously in near real time to some kinds of events based on a well-established knowledge base. The requirements of a GZLDSWH, its Grid-based conceptual architecture, and the operations of its service are described in this paper. Furthermore, several challenges and issues in building a GZLDSWH, such as the Dynamic Collaboration Model between the Grid services, the Analytical Model, and the Design and Evaluation aspects of the Knowledge Base Rules are discussed and investigated.

The service architecture of the TeraGyroid experiment

We describe the service architecture of the successful TeraGyroid experiment. In particular we discuss the use of the open Grid service infrastructure (OGSI) to build the services used during the experiment and illustrate the problems we encountered.

Information Management for Computational Grids

Information Service is a key component of a Grid environment and crucial to the operation of a computational Grid. This paper presents an Information Service for a computational Grid Virtual Organization (VO). The main functionality of this Information Service is the provision of information essential for applications running on a computational Grid. This Information Service is a hierarchical structure that consists of VO layer, site layer, and resource layer. We propose different models of information data organization for Information Service, and experiments were conducted to evaluate the performance of these models. Based on the experimental results, we further introduce the data organization model for our Information Service. The implementation of the Information Service is based on the Globus Toolkit and complies with the OGSI (Open Grid Services Infrastructure) specifications. In this paper, some application experiences of using the Information Service are also presented.

Modeling and Managing State in Distributed Systems: The Role of OGSI and WSRF

We often encounter in distributed systems the need to model, access, and manage state. This state may be, for example, data in a purchase order, service level agreements representing resource availability, or the current load on a computer. We introduce two closely related approaches to modeling and manipulating state within a Web services (WS) framework: the Open Grid Services Infrastructure (OGSI) and WS-Resource Framework (WSRF). Both approaches define conventions on the use of the Web service definition language schema that enable the modeling and management of state. OGSI introduces the idea of a stateful Web service and defines approaches for creating, naming, and managing the lifetime of instances of services; for declaring and inspecting service state data; for asynchronous notification of service state change; for representing and managing collections of service instances; and for common handling of service invocation faults. WSRF refactors and evolves OGSI to exploit new Web services standards, specifically WS-addressing, and to respond to early implementation and application experiences. WSRF retains essentially all of the functional capabilities present in OGSI, while changing some syntax (e.g., to exploit WS-addressing) and also adopting a different terminology in its presentation. In addition, WSRF partitions OGSI functionality into five distinct composable specifications. We explain the relationship between OGSI and WSRF and the related WS-notification specifications, explain the common requirements that both address, and compare and contrast the approaches taken to the realization of those requirements.

ZENTURIO: A Grid Service-Based Tool for Optimising Parallel and Grid Applications

ZENTURIO [R. Prodan and T. Fahringer, “ZENTURIO: A Grid Middleware-based Tool for Experiment Management of Parallel and Distributed Applications”, Journal of Parallel and Distributed Computing, 2003. http://authors.elsevier.com/sd/article/S0743731503001977 (to appear)] is a semi-automatic experiment management tool for performance and parameter studies of parallel and distributed applications on cluster and Grid architectures. ZENTURIO has been designed as an Open Grid Services Architecture (OGSA) – compliant Grid application built on top of standard Web and Grid services technologies. In this paper we first comparatively present various issues from our transition to an Open Grid Services Infrastructure (OGSI) – compliant prototype. Then we introduce a generic framework for solving NP-complete optimisation problems for parallel and Grid applications. We present a case study on high throughput scheduling for large sets of computational tasks on the Grid using genetic algorithms. Our algorithm has a complexity of $\mathcal{O}(n^{2})$ and delivers a fivefold improvement in solution over 500 generations in a Grid with uniformly distributed computational resources.