Open Grid Services Architecture Research Articles

Research on Key Technologies of Collaborative Logistics Information Integration Platform System Based on OGSA - DAI

Based on OGSA-DAI (Open Grid Services Architecture- Data Access and Integration), aiming at the existing problems that the logistics collaborative distribution platform’s low level of information integration, the dynamic grid nodes’ large fluctuations and the system data’ high heterogeneity, a five-layer collaborative logistics information integration platform system(CLITPS) is designed and the key technologies in five layers of grid structure are described in detail. Emphasized in core service layer to discuss the five service contents of the platform. Taking the collaborative delivery order processing as an instance, this article creates the customer activity intelligent search engine(CATSE), clarifies the user information search process and analyzes the implementation of the distribution order processing, which confirms the feasibility of the collaborative logistics information platform system.

A new service-oriented grid-based method for AIoT application and implementation

The traditional three-layer Internet of things (IoT) model, which includes physical perception layer, information transferring layer and service application layer, cannot express complexity and diversity in agricultural engineering area completely. It is hard to categorize, organize and manage the agricultural things with these three layers. Based on the above requirements, we propose a new service-oriented grid-based method to set up and build the agricultural IoT. Considering the heterogeneous, limitation, transparency and leveling attributes of agricultural things, we propose an abstract model for all agricultural resources. This model is service-oriented and expressed with Open Grid Services Architecture (OGSA). Information and data of agricultural things were described and encapsulated by using XML in this model. Every agricultural engineering application will provide service by enabling one application node in this service-oriented grid. Description of Web Service Resource Framework (WSRF)-based Agricultural Internet of Things (AIoT) and the encapsulation method were also discussed in this paper for resource management in this model.

Ukrainian national grid structure from viewpoint of security requirements ensuring in the grid environment

Grid computing is concerned with the sharing and coordinated use of diverse resources in distributed "virtual organizations.” The dynamic and multi-institutional nature of these environments introduces challenging security issues that demand new technical approaches. At this paper we would also describe OGSA. OGSA is a distributed interaction and computing architecture based around services, assuring interoperability on heterogeneous systems so that different types of resources can communicate and share information. OGSA is based on several other Web service technologies, such as the Web Services Description Language (WSDL) and the Simple Object Access Protocol (SOAP), but it aims to be largely independent of transport-level handling of data. OGSA has been described as a refinement of a Web services architecture, specifically designed to support grid requirements. The concept of OGSA is derived from work presented in the 2002 Globus Alliance paper "The Physiology of the Grid" by Ian Foster, Carl Kesselman, Jeffrey M. Nick, and Steven Tuecke. It was developed by GGF working groups which resulted in a document, entitled The Open Grid Services Architecture, Version 1.5 in 2006.

Analysis of the Knowledge Loss and Knowledge Grid Based on BP Neural Network

Knowledge resources are the key elements of the enterprise core competencies, and knowledge loss is easy to overlook the problems of enterprises, many enterprises have to pay this end expensive price, knowledge loss problem has become an important issue of the impact the survival and development of enterprises (especially in knowledge-intensive enterprises). Knowledge Grid research focus on intelligent information processing, its goal is to eliminate isolated island of information and knowledge, to realize the intelligent sharing of information resources and knowledge resources, avoid knowledge loss. From the research direction of knowledge loss and knowledge grid, this paper analysis knowledge loss based on BP neural network, discusses the open grid services architecture, knowledge grid services architecture, system architecture, in order to provide a reference for related research.

A service oriented manufacturing grid system with uncertain information

Purpose – The increase in demand variability created by manufacturing enterprises presents new challenges for increasing resource usage and sharing flexibility. For this reason, it is of great importance to research manufacturing grids and their service modes. The purpose of this paper is to establish a systematic strategy and a system tool for manufacturing grid systems. Design/methodology/approach – A manufacturing service oriented manufacturing grid (MSoMG) system is presented with open grid service architecture as the system architecture and GT3.9 as a development tool. A framework is proposed to support MSoMG by providing advisory tools and methods for uncertain information analysis and processing, multi-objective decision making of manufacturing grid service execution, manufacturing grid service performance prediction based on knowledge template, and flexible manufacturing grid service scheduling and solution. The methodology of the adopted rough set is discussed in detail. Finally, the design support strategies for MSoMG are investigated to guide the coordination of manufacturing activities. Findings – Many conventional methods and models become very limited for manufacturing grid service with uncertain information. The processing of uncertain information and reasonable application flow can help to improve the completion rate and reliability of manufacturing grid services. Practical implications – This research provides a solid foundation for manufacturing gird operations and can promote the use of a manufacturing grid mode. Originality/value – A MSoMG system is presented. The manufacturing grid service with uncertain information is considered as well as design support strategies.

Semantic-Based Access Control for Data Resources in Open Grid Services Architecture

This paper proposes a semantic-based access control system for the data resources in the Open Grid Services Architecture - Data Access and Integration (OGSA-DAI). OGSA-DAI is a widely used middleware for integrating data resources in Grids. However, the identity-based access control in OGSA-DAI causes substantial overhead for the resource providers in virtual organizations (VOs), because the access control information of individual users has to be maintained by each resource provider. To solve these problems, the authors propose a semantic-based access control system using Shibboleth and ontology. Shibboleth, an attribute authorization service, is used to manage the user attributes, and the Web Ontology Language (OWL) is used to represent the ontology of the data resources and users. By using ontology, VOs can resolve the differences in their terminologies and specify access control policies based on concepts and user roles, instead of individual resources and user identities. As a result, the administration overhead of the resource providers is reduced considerably. In addition, the eXtensible Access Control Markup Language (XACML) is used to specify the access control policies uniformly across multiple VOs. The authors also developed an XACML policy administration tool that allows the administrators to create, update, and manage XACML policies. The performance analysis shows that our proposed system adds only a small overhead to the existing security mechanism of OGSA-DAI.

The Research and Design of Intelligent Tutoring System in Intelligent Turtoring System Based on Campus Grid

Grid technology has become the computer and network technologys research hotspot and frontier, Grid technology development and the consummation will promote the development of educational information. The intelligent has shortcoming which are resource isolated, update difficulty etc, Based on the grid technology research and application, using OGSA (Open Grid Services Architecture) grid system structure, Taking GLOBUS as the grid middleware to build grid platform. This paper discuss the educational grid minimum implementation unit - - teaching system of campus grid and put forward the network teaching system model based on the grid technology. Then establish a distributed, heterogeneous sharing information resources of the library, it provides an efficient, fully shared virtual teaching space for network tutoring system. Finally, intelligent network teaching system and the grid binding laid certain foundation.

A Web Services Composition Strategy Based on Trust Reasoning and Evolution

To overcome the problem of poor quality of service caused by malice,fraud and dishonest service entities in dynamic and complex internet,the paper constructs a trust reasoning and evolution system.It is mainly composed of the public and entity trust evolution systems and based on the Open Grid Services Architecture(OGSA).This paper proposes a trust reasoning method to change the situation of trust missing and trust generalization,which constrained by the trusty entities,the entity set,successive approximation of evaluation entities,etc.The trust reasoning system could greatly enrich trust relationship among entities and distinguish conspiracy through deduction,inversion and recursion.It is capable of overcoming the problem aroused by the lack of direct trust and early stage trust in the traditional trust evolution.Therefore,it changes traditional methodology on trust relationship modeling.Based on the new trust reasoning and evolution method,we propose a Web service composition strategy.The practical example and testing results demonstrate the effectiveness of the new strategy on distinguishing potential risk in entity behavior,overcoming the problem of entity experience differences,and improving the success rate of services composition.

Intrusion Detection System Inside Grid Computing Environment (IDS-IGCE)

Grid Computing is a kind of important information technology which enables resource sharing globally to solve the large scale problem. It is based on networks and able to enable large scale aggregation and sharing of computational, data, sensors and other resources across institutional boundaries. Integrated Globus Tool Kit with Web services is to present OGSA (Open Grid Services Architecture) as the standard service grid architecture. In OGSA, everything is abstracted as a service, including computers, applications, data as well as instruments. The services and resources in Grid are heterogeneous and dynamic, and they also belong to different domains. Grid Services are still new to business system & as more systems are being attached to it, any threat to it could bring collapse and huge harm. May be intruder come with a new form of attack. Grid Computing is a Global Infrastructure on the internet has led to a security attacks on the Computing Infrastructure. The wide varieties of IDS (Intrusion Detection System) are available which are designed to handle the specific types of attacks. The technique of [27] will protect future attacks in Service Grid Computing Environment at the Grid Infrastructure but there is no technique can protect these types of attacks inside the grid at the node level. So this paper proposes the Architecture of IDS-IGCE (Intrusion Detection System – Inside Grid Computing Environment) which can provide the protection against the complete threats inside the Grid Environment.

Fast Information Retrieval in the Open Grid Service Architecture

In research, grid computing is an established way of providing computer resources for information retrieval. However, e-science grids also contain, process and produce documents - thereby acting as digital libraries and requiring means for information discovery. In this paper, we discuss how distributed information retrieval can be integrated into the Open Grid Service Architecture (OGSA) to efficiently provide image retrieval for e-science grids. We identify two fundamental ways of performing information retrieval on the grid - as a batch job or as a distributed activity - and argue the case for the latter for reasons of efficiency. We give an analysis of the theoretic communication and computation complexity and demonstrate that bandwidth limitations provide a decisive argument to support our case. We describe further design decisions for our system architecture and give a brief comparison with other designs reported in literature. Lastly, we describe how the statelessness and isolation of web services impede data-intensive, distributed, cross-site activities in OGSA grids, and how to escape them.

Reference model for a data grid approach to address data in a dynamic SDI

A grid is concerned with the integration, virtualization, and management of services and resources in a distributed, heterogeneous environment that supports virtual organizations across traditional administrative and organizational domains. Spatial data infrastructures (SDI) aim to make spatial data from multiple sources available and usable to as wide an audience as possible. The first SDIs of the 1990s followed a top---down approach with the focus on data production and centralization. In recent years, SDIs have seen a huge increase in the number of participants, necessitating a more dynamic bottom-up approach. While much research has been done on web services and SDIs, research on the use of data grids for SDIs is limited. In this paper an emergency response scenario is presented to illustrate how the data grid approach can be used as a decentralized platform for address data in a dynamic SDI. Next, Compartimos (Spanish for `we share') is presented, a reference model for an address data grid in an SDI based on the Open Grid Services Architecture (OGSA). Compartimos identifies the essential components and their capabilities required for a decentralized address data grid in a dynamic SDI. It deviates from the current centralized approach, allows data resources to come and go and node hosts to grow and shrink as necessary. An address data grid in an SDI is both a novel application for data grids as well as a novel technology in SDI environments and thus advances the mutual understanding between data grids and SDIs. In conclusion, additional research required for address data grids in SDIs is discussed.

Service-oriented simulation framework: An overview and unifying methodology

With the prevalence of net-centric environments, Service-Oriented Architectures (SOAs) have emerged as a paradigm that greatly impacts the modeling and simulation (M&S) community. This paper has two interrelated goals. The first is to give a comprehensive review of various service-oriented simulation frameworks to help researchers select the appropriate one for their specific purpose. The second goal is to combine the common features derived from the review into one unifying framework that can describe and prescribe various specific approaches. The focus of this paper is on the common functionalities of service-oriented simulations reflected in the review and unifying framework. In particular, we emphasize the way SOAs and M&S are combined, and the interoperability and composability challenges of distributed M&S services. We describe some fundamental concepts first. Then we present a comprehensive survey of several classical frameworks, including formalism-based, model-driven, interoperability protocol based, eXtensible Modeling and Simulation Framework (XMSF), Open Grid Services Architecture (OGSA) based, and ontology-driven frameworks. Based on the review, we propose a novel three-dimensional reference model that can unify the ad hoc approaches into a common framework. The model can be used as a guideline or an analytic means to find potential and possible future directions. In particular, the model inspects the crossover between the disciplines of M&S, service-orientation, and software/systems engineering. Based on the model, we present a detailed comparison of the reviewed frameworks. Finally the significance of the paper is discussed and future directions are recommended.

Intelligent Job Service Scheduling Scheme in Campus Grids

Campus grid is to use grid technology, the existing campus network, distributed, heterogeneous computing resources and information resources to the virtual integrated together to form a pool of available computing resources and can provide information platform for users to query information. This paper presents job scheduling model based on open grid service architecture by analyzing the current status of campus network and grid technologies. The simulation results show that the models are feasibility and validity.

Resource Sharing Campus Grid Platform Based on Load Balancing and Open Grid Service Architecture

In order to share distributed resources in the campus network and save relevant cost, This paper presents an extended campus services, data integration middleware grid middleware, grid data integration gives the campus a key middleware technology and architecture, and discusses the integration of grid middleware architecture of the campus's role and how grid services and other interactive components to complete the application request

Integrating distributed data sources with OGSA–DAI DQP and V iews

OGSA-DAI (Open Grid Services Architecture Data Access and Integration) is a framework for building distributed data access and integration systems. Until recently, it lacked the built-in functionality that would allow easy creation of federations of distributed data sources. The latest release of the OGSA-DAI framework introduced the OGSA-DAI DQP (Distributed Query Processing) resource. The new resource encapsulates a distributed query processor, that is able to orchestrate distributed data sources when answering declarative user queries. The query processor has many extensibility points, making it easy to customize. We have also introduced a new OGSA-DAI Views resource that provides a flexible method for defining views over relational data. The interoperability of the two new resources, together with the flexibility of the OGSA-DAI framework, allows the building of highly customized data integration solutions.

Using Grid services to parallelize IBM's Generic Log Adapter

Since their definition in the Open Grid Services Architecture, Grid services has been used in many Grid-enabled applications to leverage the computational power offered by Grid Systems. An important research issue addressed in this regard is how to increase the efficiency of the Grid services for a massive processing and scientific computing computations arising in data intensive computations, for example the processing of large log data files arising in “problem determination” in today's IT computing environments. In this paper we present an approach that uses Grid services to efficiently parallelize the IBM's Generic Log Adapter (GLA). GLA is a generic parsing engine shipped with the IBM's Autonomic Computing Toolkit that has been conceived to convert proprietary log data into a standard log data event-based format in real time. However, in order to provide generic support for parsing the majority of today's unstructured log data formats the GLA makes heavy use of regular expressions that incur in performance limitations. Until now all the approaches that have been proposed to increase GLA's performance have revolved around fine-tuning the set of regular expressions used to configure the GLA for a particular log data format or writing specific parsing code. In this work we propose a new approach consisting in transparently parallelizing the GLA by taking advantage of its internal architecture and the fact that structuring log data is a task that lends itself very well to parallelization. We present a Master–Worker strategy that uses Grid services to parallelize GLA efficiently and in a completely transparent way for the user.

Execution Management for Mobile Service-Oriented Environments

This paper presents an Execution Management System (EMS) for Grid services that builds on the Open Grid Services Architecture (OGSA) while achieving “mobile awareness” by establishing a WS-Notification mechanism with mobile network session middleware. It builds heavily on the Session Initiation Protocol (SIP), used for managing sessions with mobile terminals (such as laptops and PDAs) where the services are running. Although the management of mobile services is different to that of ubiquitous services, the enhanced EMS manages both of them in a seamless fashion and incorporates all resources into one Mobile Dynamic Virtual Organization (MDVO). The described EMS has been implemented within the framework of the Akogrimo EU IST project and has been used to support mission critical application scenarios in public demonstrations, including composite and distributed applications made of both ubiquitous and mobile services within multiple domains.

DynaSched: a dynamic Web service scheduling and deployment framework for data-intensive Grid workflows

Abstract Grid computing boosts productivity by maximizing resource utilization and simplifying access to resources which are shared among virtual organizations. Recently, the Grid and Web Service communities have established a set of common interests and requirements. The latest version of the Globus Toolkit implements the Web Service Resource Framework (WSRF) specifications which have been formulated to cover these interests. We leverage the Globus Toolkit to address some limitations in supporting the dynamic nature of large-scale Grid and data-intensive workflow executions. Dynamic Web Service deployment fits well into the dynamic nature of the Grid and opens new ways of managing workflow executions on the Grid. In this article, we present the design and evaluation of a dynamic Web Service scheduling and deployment framework (DynaSched) that supports the workflow management of dynamic services. Dynamic Web Service deployment on the Grid allows jobs to be executed on the same site as where the input data is located. The empirical studies show that the designed framework decreases data-intensive workflow execution time by minimizing communication costs. We argue that the framework ensures more flexible, fault-tolerant workflows. The system is based on Open Grid Services Architecture specifications and is WSRF-compliant.

Orchestration of Grid-Enabled Geospatial Web Services in Geoscientific Workflows

The need for computational resources capable of processing geospatial data has accelerated the uptake of geospatial web services. Several academic and commercial organizations now offer geospatial web services for data provision, coordinate transformation, geocoding and several other tasks. These web services adopt specifications developed by the Open Geospatial Consortium (OGC) - the leading standardization body for Geographic Information Systems. In parallel with efforts of the OGC, the Grid computing community has published specifications for developing Grid applications. The Open Grid Forum (OGF) is the main body that promotes interoperability between Grid computing systems. This study examines the integration of Grid services and geospatial web services into workflows for Geoscientific processing. An architecture is proposed that bridges web services based on the abstract geospatial architecture (ISO19119) and the Open Grid Services Architecture (OGSA). The paper presents a workflow management system, called SAW-GEO, that supports orchestration of Grid-enabled geospatial web services. An implementation of SAW-GEO is presented, based on both the Simple Conceptual Unified Flow Language (SCUFL) and the Business Process Execution Language for Web Services (WS-BPEL or BPEL for short).

Research on aspect-oriented open grid services architecture

This paper proposed an Aspect-Oriented Open Grid Services Architecture (AO-OGSA) to tackle the multi-binding of Open Grid Services Architecture (OGSA). Through forming the grid public demand into aspect module,AO-OGSA realized the separation between crosscutting concerns and core concerns in the grid application software. Therefore,it reduced the coupling between modules. Finally,taking the service packaging and resource scheduling in the optical grid as an example,the simulation modules based on OGSA and AO-OGSA were respectively constructed,and the simulation results were contrastively analyzed according to software system performance.