Prototype Design of Decision Supports for GRID Clearinghouse Service Framework

2008 ◽  
Vol 12 (6) ◽  
pp. 523-528
Author(s):  
Johannes K. Chiang ◽  
◽  
Kiekang Chao
Keyword(s):  
Grid Computing ◽  
Resource Sharing ◽  
Large Scale ◽  
Critical Issue ◽  
Trading Behavior ◽  
Distributed Environment ◽  
Service Architecture ◽  
New Business ◽  
Service Data ◽  
Prototype Design

Grid Computing, as an emerging technology, facilitates computer resource sharing, distribution over the Internet. Large-scale collaboration and engineering development for GRID Computing has been engaged world wide. The vigorous momentum of the technology has captured great business attention. The resources management in such large-scale distributed environment becomes a great challenge, and will be the critical issue before GRID deployed into commercial operation while resource allocation and use need to be properly managed in realistic and economic justification. This study aims to elaborate a new business model regarding service trading and billing. The Grid Architecture for Computational Economy (GRACE) framework can be the fundamental framework which reveals resource trading behavior. This paper explored the resource trading models and the way to integrate them into a uniform computing environment. Thereby the concepts and Architecture is to be investigated and extended with Economic Service Architecture (ESA). Last but not least, this paper carries out necessary Service Interfaces and Service Data Entities.

Reliability and Performance Models for Grid Computing

2010 ◽  
pp. 219-245 ◽  
Author(s):  
Yuan-Shun Dai ◽  
Jack Dongarra
Keyword(s):  
Grid Computing ◽  
Resource Sharing ◽  
Large Scale ◽  
Optimization Problems ◽  
Data Dependence ◽  
Performance Models ◽  
Task Partitioning ◽  
Modeling And Analysis ◽  
Failure Correlation ◽  
And Performance

Grid computing is a newly developed technology for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration. It is hard to analyze and model the Grid reliability because of its largeness, complexity and stiffness. Therefore, this chapter introduces the Grid computing technology, presents different types of failures in grid system, models the grid reliability with star structure and tree structure, and finally studies optimization problems for grid task partitioning and allocation. The chapter then presents models for star-topology considering data dependence and treestructure considering failure correlation. Evaluation tools and algorithms are developed, evolved from Universal generating function and Graph Theory. Then, the failure correlation and data dependence are considered in the model. Numerical examples are illustrated to show the modeling and analysis.

scholarly journals Massively multi-user online platform for large-scale applications

2021 ◽  
Author(s):  
Allen Yen-Cheng Yu
Keyword(s):  
Grid Computing ◽  
High Performance ◽  
Large Scale ◽  
Distributed Applications ◽  
Service Architecture ◽  
Online Application ◽  
Online Platform ◽  
Massively Multiplayer Online Game ◽  
And Performance

Many large-scale online applications enable thousands of users to access their services simultaneously. However, the overall service quality of an online application usually degrades when the number of users increases because, traditionally, centralized server architecture does not scale well. In order to provide better Quality of Service (QoS), service architecture such as Grid computing can be used. This type of architecture offers service scalability by utilizing heterogeneous hardware resources. In this thesis, a novel design of Grid computing middleware, Massively Multi-user Online Platform (MMOP), which integrates the Peer-to-Peer (P2P) structured overlays, is proposed. The objectives of this proposed design are to offer scalability and system design flexibility, simplify development processes of distributed applications, and improve QoS by following specified policy rules. A Massively Multiplayer Online Game (MMOG) has been created to validate the functionality and performance of MMOP. The simulation results have demonstrated that MMOP is a high performance and scalable servicing and computing middleware.

scholarly journals Massively multi-user online platform for large-scale applications

2021 ◽  
Author(s):  
Allen Yen-Cheng Yu
Keyword(s):  
Grid Computing ◽  
High Performance ◽  
Large Scale ◽  
Distributed Applications ◽  
Service Architecture ◽  
Online Application ◽  
Online Platform ◽  
Massively Multiplayer Online Game ◽  
And Performance

Many large-scale online applications enable thousands of users to access their services simultaneously. However, the overall service quality of an online application usually degrades when the number of users increases because, traditionally, centralized server architecture does not scale well. In order to provide better Quality of Service (QoS), service architecture such as Grid computing can be used. This type of architecture offers service scalability by utilizing heterogeneous hardware resources. In this thesis, a novel design of Grid computing middleware, Massively Multi-user Online Platform (MMOP), which integrates the Peer-to-Peer (P2P) structured overlays, is proposed. The objectives of this proposed design are to offer scalability and system design flexibility, simplify development processes of distributed applications, and improve QoS by following specified policy rules. A Massively Multiplayer Online Game (MMOG) has been created to validate the functionality and performance of MMOP. The simulation results have demonstrated that MMOP is a high performance and scalable servicing and computing middleware.

An Efficient Resources Management Model and Task Scheduling Algorithm in Grid Computing

2011 ◽  
Vol 50-51 ◽  
pp. 526-530 ◽  
Author(s):  
Xiao Bo Gao
Keyword(s):  
Grid Computing ◽  
Task Scheduling ◽  
Resource Sharing ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Management Model ◽  
Network Computing ◽  
Resources Management ◽  
Task Scheduling Algorithm ◽  
And Task

From the perspective of resource sharing, grid computing is a system ranging from small kind of network system for home using to large-scale network computing systems even to the Internet. The management of resources in the grid environment becomes very complex as these resources are distributed geographically, heterogeneous in nature, and each having their own resource management policies and different access as well as cost models. In this paper, we bring forward an efficient resources management model and task scheduling algorithm in grid computing. The simulation results show that the proposed algorithm achieves resource load balancing, and can be applied to the optimization of task scheduling successfully.

Mobility-Aware Grid Computing

2011 ◽  
pp. 2626-2630
Author(s):  
Konstantinos Katsaros ◽  
George C. Polyzos
Keyword(s):  
Mobile Computing ◽  
Grid Computing ◽  
Resource Sharing ◽  
Large Scale ◽  
Resource Constraints ◽  
Mobile Users ◽  
Mobile Grid ◽  
Computing Environments ◽  
Hoc Networks ◽  
Simulation Signal

Grid computing has emerged as a paradigm for coordinated resource sharing and problem solving in dynamic, multiinstitutional virtual organizations (Foster, 2001). A grid computing system is essentially a large-scale distributed system designed to aggregate resources from multiple sites, giving to users the opportunity to take advantage of enormous computational, storage, or bandwidth resources that would otherwise be impossible to attain. Current applications of grid computing focus on computational-expensive processing of large volumes of scientific data, for example, for earthquake simulation, signal processing, cancer research, and pattern search in DNA sequences. At the same time, the recent advances in mobile and wireless communications have resulted in the availability of an enormous number of mobile computing devices such as laptop PCs and PDAs (personal digital assistants). Thus, it is natural to extend the idea of resource sharing to mobile and wireless computing environments. Resource-sharing collaboration between mobile users appears as a promising research direction toward the alleviation of the inherent resource constraints present in mobile computing environments. Either in the context of mobile ad hoc networks (MANETs) or in wireless networks based on fixed infrastructure (i.e., cellular networks, wireless local area networks (WLANs), small- or large-scale communities of mobile users can form mobile grid systems and collaborate in order to either achieve a common goal (otherwise impossible to achieve) or simply overcome their individual limitations. In the following, we highlight the fundamental issues toward the realization of a computational mobile grid system.

Reliability and Performance Models for Grid Computing

2012 ◽  
pp. 119-140
Author(s):  
Yuan-Shun Dai ◽  
Jack Dongarra
Keyword(s):  
Grid Computing ◽  
Resource Sharing ◽  
Large Scale ◽  
Optimization Problems ◽  
Tree Structure ◽  
Data Dependence ◽  
Task Partitioning ◽  
Modeling And Analysis ◽  
Failure Correlation ◽  
And Performance

Grid computing is a newly developed technology for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration. It is hard to analyze and model the Grid reliability because of its largeness, complexity and stiffness. Therefore, this chapter introduces the Grid computing technology, presents different types of failures in grid system, models the grid reliability with star structure and tree structure, and finally studies optimization problems for grid task partitioning and allocation. The chapter then presents models for star-topology considering data dependence and tree-structure considering failure correlation. Evaluation tools and algorithms are developed, evolved from Universal generating function and Graph Theory. Then, the failure correlation and data dependence are considered in the model. Numerical examples are illustrated to show the modeling and analysis.

scholarly journals Security strategies for cloud identity management - a study

2018 ◽  
Vol 7 (2) ◽  
pp. 732 ◽  
Author(s):  
Anilkumar Chunduru ◽  
Sumathy S
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Resource Sharing ◽  
Large Scale ◽  
Identity Management ◽  
Critical Infrastructure ◽  
Critical Issue ◽  
Government Organizations ◽  
Control Schemes ◽  
Federated Identity

Emphasis on security for providing Access Control in Cloud computing environment plays a significant role. Cloud computing provides number of benefits such as resource sharing, low speculation and large storage space. Huge amount of information stored in cloud can be accessed from anywhere, anytime on pay-per use basis. Resources in cloud should be accessed only by the authorized clients. Access Control in cloud computing has become a critical issue due to increasing number of users experiencing dynamic changes. Authentication, authorization and approval of the access ensuring liability of entities from login credentials including passwords and biometric scan is essential. Also, the federated authentication management is secured. Current approaches require large-scale distributed access control in cloud environment. Data security and access control are the drawbacks in existing access control schemes. Due to the drawbacks in existing access control schemes such as privacy of information when susceptible information is stored in intermediary service provider a federated identity access management is essential. Access control applications majorly concentrate on Healthcare, Government Organizations, Commercial, Critical Infrastructure and Financial Institutions. This review illustrates a detailed study of access control models in cloud computing and various cloud identity management schemes.

A Combined Approach for Implementation of Broadcast Operation in Grid Computing

2013 ◽  
Vol 5 (1) ◽  
pp. 25-36
Author(s):  
Ghalem Belalem ◽  
Mohammed Ilyes Kara Mostefa
Keyword(s):  
Grid Computing ◽  
Large Scale ◽  
Distributed Applications ◽  
Scheduling Problems ◽  
Distributed Environment ◽  
Hybrid Strategy ◽  
Large Scale Systems ◽  
Information Power ◽  
Grid Simulation ◽  
Collective Communications

In distributed computing, the collective communications scheduling is among the most important scheduling problems related to intensive applications executed over heterogeneous platforms. The optimization of collective operations allows the improvement of parallel and distributed applications performance by reducing the completion time of these operations. In this paper, the authors are particularly interested by the optimization of broadcast operation executed over large scale distributed environment such as grid computing. For this aim, we combined the two levels approach implemented in MagPIe library proposed for the hierarchical large scale systems with the ECEF (Earliest Completion Edge First) heuristic proposed for the IPG (Information Power Grid). Simulation results show the advantage of our proposed hybrid strategy compared to the classical ECEF heuristic.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

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