Content Delivery Services in a Grid Environment

2011 ◽  
pp. 278-295
Author(s):  
Irwin Boutboul ◽  
Dikran S. Meliksetian
Keyword(s):  
Grid Computing ◽  
Content Delivery ◽  
Peer To Peer ◽  
Grid Environment ◽  
P2p Computing ◽  
New Approach ◽  
Trade Offs ◽  
Delivery Services ◽  
Scalable System

n this chapter, we propose a new approach for content delivery services by meshing together the best of grid computing and peer-to-peer (P2P) computing. The goal is to design a secure, reliable, and scalable system for efficient and fast delivery of content. The system consists of a combination of nondedicated servers and peers to provide the proposed service. We describe the challenges of designing such a system and discuss possible solutions and trade-offs. We detail the necessary interlacing of grid and P2P feature to achieve the goal. We present a prototype that is built based on the proposed approach.

A Heuristic Resource Management Method in Grid Computing Environment

2011 ◽  
Vol 50-51 ◽  
pp. 521-525
Author(s):  
Xian Mei Fang
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Collaborative Research ◽  
Ant Colony Optimization Algorithm ◽  
Computing Environment ◽  
Grid Resource ◽  
Grid Environment ◽  
Load Imbalance ◽  
The World ◽  
Management Method

Grid is an emerging infrastructure which enables effective coordinate access to various distributed computing resources in order to serve the needs of collaborative research and work across the world. Grid resource management is always a key subject in the grid computing. We first analyze the resource management in the grid computing environment, then according to the load imbalance question in the ant colony optimization algorithm, propose an improved algorithm that suits to be used in the grid environment.

Agent-Based Modeling of Peer-to-Peer Energy Trading in a Smart Grid Environment

2021 ◽  
Author(s):  
Diogo V. Guimaraes ◽  
Matthew B Gough ◽  
Sergio F. Santos ◽  
Ines F.G. Reis ◽  
Juan M. Home-Ortiz ◽  
...  
Keyword(s):  
Smart Grid ◽  
Peer To Peer ◽  
Agent Based Modeling ◽  
Grid Environment ◽  
Energy Trading ◽  
Agent Based

Water-Energy-Food Nexus Review for Biofuels Assessment

2021 ◽  
Vol 11 (1) ◽  
pp. 193-205
Author(s):  
Abass A. Gazal ◽  
Napat Jakrawatana ◽  
Thapat Silalertruksa ◽  
Shabbir H. Gheewala
Keyword(s):  
Resource Availability ◽  
First Generation ◽  
Decision Makers ◽  
Assessment Methodology ◽  
Life Cycle Assessment Methodology ◽  
New Approach ◽  
Future Studies ◽  
Human Needs ◽  
Trade Offs ◽  
Basic Human Needs

The appropriate use of limited natural resources for generating basic human needs such as energy, food, and water, is essential to help the society function efficiently. Hence, a new approach called nexus is being considered to resolve the effects of intrinsic trade-offs between the essential needs. A review of different methods and frameworks of the water-energy-food nexus was done in this article to give a detailed repository of information on existing approaches and advocate the development of a more holistic quantitative nexus method. Assessing biofuels under the water-energy-food nexus perspective, this review addresses the sustainability of bioenergy production. The results show the countries that can sustainably produce first-generation biofuels. Only a few methods have varied interdisciplinary procedures to analyse the nexus, and more analytical software and data on resource availability/use are needed to address trade-offs between these interacting resource sectors constituting the nexus. Also, “land” is suggested as an additional sector to consider in future studies using both the nexus index and life cycle assessment methodology. The review reveals that to tackle composite challenges related to resource management, cross-disciplinary methods are essential to integrate environmental, socio-political facets of water, energy, and food; employ collaborative frameworks; and seek the engagement of decision-makers.

Applications of Web Services in Bioinformatics

2011 ◽  
pp. 265-277
Author(s):  
Xin Li ◽  
Aryya Gangopadhyay
Keyword(s):  
Web Services ◽  
Web Service ◽  
Peer To Peer ◽  
P2p Computing ◽  
Bioinformatics Tools ◽  
The Relationship

This chapter introduces applications of Web services in bioinformatics as a specialized application of peer-to-peer (P2P) computing. It explains the relationship between P2P and applications of Web service in bioinformatics, states some problems faced in current bioinformatics tools, and describes the mechanism of Web services framework. It then argues that Web services framework can help to address those problems, and gives a methodology to solve the problems in terms of composition, integration, automation, and discovery.

Quality of Experience in Mobile Peer-to-Peer Streaming Systems

2012 ◽  
pp. 196-241
Author(s):  
Florence Agboma
Keyword(s):  
Quality Of Experience ◽  
Business Models ◽  
Prediction Models ◽  
Content Delivery ◽  
Peer To Peer ◽  
Network Resource ◽  
Relative Contribution ◽  
Qos Parameters ◽  
Streaming Systems

This chapter considers the various parameters that affect the user’s Quality-of-Experience (QoE) in mobile peer-to-peer streaming systems, which are a form of content delivery network. Network and content providers do not necessarily focus on users’ QoE when designing the content delivery strategies and business models. The outcome of this is quite often the over-provisioning of network resources and also a lack of knowledge in respect to the user’s satisfaction. The focus is the methodology for quantifying the user’s perception of service quality for mobile video services and user contexts. The statistical technique of discriminant analysis is employed in defining prediction models to map Quality-of-Service (QoS) parameters onto estimates of the user’s QoE ratings. The chapter considers the relative contribution of the QoS parameters to predicting user responses. The chapter also demonstrates the value of the prediction models in developing QoE management strategies in order to optimize network resource utilization. To investigate the versatility of the framework, a feasibility study was applied to a P2P TV system. P2P systems continue to develop and as such, not a lot is known about their QoE characteristics, which situation this chapter seeks to remedy.

Balanced Job Scheduling Based on Ant Algorithm for Grid Network

2010 ◽  
Vol 2 (1) ◽  
pp. 34-50 ◽  
Author(s):  
Nikolaos Preve
Keyword(s):  
Grid Computing ◽  
Ant Colony Optimization ◽  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Experimental Results ◽  
Ant Algorithm ◽  
Entire System ◽  
Grid Environment ◽  
Grid Network

Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. The main scope of this article is to propose a new Ant Colony Optimization (ACO) algorithm for balanced job scheduling in the Grid environment. To achieve the above goal, we will indicate a way to balance the entire system load while minimizing the makespan of a given set of jobs. Based on the experimental results, the proposed algorithm confidently demonstrates its practicability and competitiveness compared with other job scheduling algorithms.

Peer-to-Peer Technology for File Sharing

2011 ◽  
pp. 372-377
Author(s):  
S. H. Kwok ◽  
Y. M. Cheung ◽  
K. Y. Chan
Keyword(s):  
File Sharing ◽  
Peer To Peer ◽  
Research Projects ◽  
P2p Networks ◽  
P2p Computing ◽  
Client Server ◽  
P2p Systems ◽  
Internet Users ◽  
P2p File Sharing ◽  
P2p Applications

A recent survey revealed that 18 millions American Internet users, or approximately 14% of total American Internet population have peer-to-peer (P2P) file-sharing applications running on their computers (Rainie & Madden, 2004). Not surprisingly, P2P applications have become common tools for information sharing and distribution since the appearance of Napster (Napster, 2003) in 1999. P2P systems are the distributed systems in which all nodes are equal in terms of functionality and able to directly communicate with each other without the coordination of a powerful server. Anonymity, scalability, fault resilience, decentralization and self-organization are the distinct characteristics of P2P computing (Milojicic et al., 2002) compared with the traditional client-server computing. P2P computing is believed to be capable of overcoming limitations of the computing environment placed by the client-server computing model. Milojicic et al. (2002), for example, suggested that P2P computing is capable of providing improved scalability by eliminating the limiting factor, the centralized server existing in the client-server computing. In the past few years, P2P computing and its promised characteristics have caught the attention of researchers who have studied the existing P2P networks, and the advantages and disadvantage of P2P systems. Important findings include the excessive network traffic caused by flooding-based searching mechanism that must be tackled in order to fully utilize the improved scalability of P2P systems (Matei, Iamnitchi, & Foster, 2002; Portmann & Seneviratne, 2002). There were proposed efficient searching techniques targeted for both structured and unstructured P2P systems. Other research projects were conducted to study, and were intended to complement, the drawbacks brought by distinct characteristics of P2P systems. For example, the P2P users’ free-riding behavior is generally attributed to the anonymity of such form of communication (Adar & Huberman, 2000). Recent research projects have shifted to a new line of investigation of P2P networks from the economic perspective and applications of P2P systems in workplaces (Kwok & Gao, 2004; Tiwana, 2003).

Overview of Grid Computing

2009 ◽  
pp. 1-10
Author(s):  
Emmanuel Udoh ◽  
Frank Zhigang Wang ◽  
Vineet R. Khare
Keyword(s):  
Grid Computing ◽  
Historical Record ◽  
Peer To Peer ◽  
Grid Service ◽  
The Internet ◽  
Internet Infrastructure ◽  
Recent Advances ◽  
International Projects ◽  
Salient Features

This chapter presents a historical record of the advent of Grid with a recourse to some basic definitions commonly accepted by most researchers. It discusses the current and potential users of Grid computing and the expected changes in the user base as it gains popularity. The role of the Internet infrastructure in shaping the grid evolution received detailed treatment. Furthermore, the chapter contrasts grid computing with distributed and peer-to-peer computing and highlighted the salient features. Finally, the chapter discusses the recent advances in Web and Grid service technologies, including international projects, emerging standards and organizations, and the current challenges faced by Grid researchers.

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