Information Federation in Grids

Aktaş, Mehmet S.; Fox, Geoffrey; Pierce, Marlon

doi:10.1109/skg.2008.39

Cited by 6 publications

(6 citation statements)

References 14 publications

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“…Previous efforts were often linked to the service-oriented architecture (SOA) paradigm [14]. Today, various approaches are commonly used for personalization in adaptive web shop interfaces, including AI-based methods such as collaborative filtering (CF) [15], CF based on deep learning [16], and its modification that uses the relationships between items rather than users (item-based CF-IBCF) as the basis for inference [17], case-based reasoning (CBR) [18], the RFMT (recency, frequency, monetary, time) model [19], data mining [20], and clustering [21]. UI personalization is applicable across diverse IT systems, whether within organizations (e.g., enterprise resource planning-ERP [22]), supporting interorganizational collaboration (e.g., workflow [23]), or dedicated to customers (e.g., e-commerce [24]).…”

Section: Personalization Of the User Interfacementioning

confidence: 99%

Functional Framework for Multivariant E-Commerce User Interfaces

Wasilewski

2024

JTAER

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Modern e-businesses heavily rely on advanced data analytics for product recommendations. However, there are still untapped opportunities to enhance user interfaces. Currently, online stores offer a single-page version to all customers, overlooking individual characteristics. This paper aims to identify the essential components and present a framework for enabling multiple e-commerce user interfaces. It also seeks to address challenges associated with personalized e-commerce user interfaces. The methodology includes detailing the framework for serving diverse e-commerce user interfaces and presenting pilot implementation results. Key components, particularly the role of algorithms in personalizing the user experience, are outlined. The results demonstrate promising outcomes for the implementation of the pilot solution, which caters to various e-commerce user interfaces. User characteristics support multivariant websites, with algorithms facilitating continuous learning. Newly proposed metrics effectively measure changes in user behavior resulting from different interface deployments. This paper underscores the central role of personalized e-commerce user interfaces in optimizing online store efficiency. The framework, supported by machine learning algorithms, showcases the feasibility and benefits of different page versions. The identified components, challenges, and proposed metrics contribute to a comprehensive solution and set the stage for further development of personalized e-commerce interfaces.

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Section: Personalization Of the User Interfacementioning

confidence: 99%

Functional Framework for Multivariant E-Commerce User Interfaces

Wasilewski

2024

JTAER

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“…3: the Compute Component, the Ranker Component, and the Prioritize Component. The Compute Component obtains site information from Information Service Providers (ISP) [25], such as the Network Weather Service (NWS) [26,27], obtains the Job-Ratio from the JAM, and calculates the Process Power Ratio (PPR), the Data Power Ratio (DPR), and the Job Queue Access Cost Ratio (JQACR). The Compute Component sends the Job ID and site information to the Ranker Component, which ranks all of the jobs according to the Prioritize Component and sends the ranked job priority list to the JB, as shown in Fig.…”

Section: Components Of Jnmgridmentioning

confidence: 99%

An enhanced meta-scheduling system for grid computing that considers the job type and priority

2011

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Meta-scheduling systems play a crucial role in scheduling jobs that are submitted for execution and require special attention because an increasing number of jobs are being executed using a limited number of resources. The primary problem of meta-scheduling is selecting the best resources (sites) to use to execute the underlying jobs while still achieving the following objectives: reducing the mean job turnaround time, ensuring site load balance, and considering job priorities. We introduce an enhanced meta-scheduling system, called Job Nature Meta-scheduling over Grid (JNMgrid), that achieves these objectives. JNMgrid consists of three components: (1) Job Analyzer and Monitor, which is responsible for determining the types of jobs in specific ratios; (2) Job Decider, which is responsible for matching the jobs with the appropriate resources; and (3) Job Batcher, which is responsible for determining the best number of jobs for execution. The performance of JNMgrid is compared with similar existing systems, such as Random, Queue Length, File Access Cost, and File Access Cost + Job Queue Access Cost. The simulation results demonstrate that JNMgrid outperforms these systems and can thus be deployed in any grid middleware to improve sharing of limited resources among grid users.

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“…We also discuss two Hybrid Service Schemas: Hybrid Schema and SpecMetadata Schema, which define the necessary abstract data models to achieve a generic architecture for unification and federation of different information service implementations in the Hybrid Service. The documentation related to the Hybrid Service Specifications and XML Schemas can be accessed from the project website at Aktas (2009).…”

Section: Semanticsmentioning

confidence: 99%

A Federated Approach to Information Management in Grids

Aktaş

Fox

Pierce

2010

International Journal of Web Services Research

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ABSTRACT:We propose a novel approach to managing information in grids. The proposed approach is an add-on information system that provides unification and federation of grid information services. The system interacts with local information services and assembles their metadata instances under one hybrid architecture to provide a common query/publish interface to different kinds of metadata. The system also supports interoperability of major grid information services by providing federated information management. We present the semantics and architectural design for this system. We introduce a prototype implementation and present its evaluation. As the results indicate, the proposed system achieves unification and federation of custom implementations of grid information services with negligible processing overheads.

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Information Federation in Grids

Cited by 6 publications

References 14 publications

Functional Framework for Multivariant E-Commerce User Interfaces

Functional Framework for Multivariant E-Commerce User Interfaces

An enhanced meta-scheduling system for grid computing that considers the job type and priority

A Federated Approach to Information Management in Grids

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