Data Management in Large-Scale P2P Systems

2005 ◽  
pp. 104-118 ◽  
Author(s):  
Patrick Valduriez ◽  
Esther Pacitti
Keyword(s):  
Data Management ◽  
Large Scale ◽  
P2p Systems

scholarly journals PowerSystems.jl — A power system data management package for large scale modeling

SoftwareX ◽  
2021 ◽  
Vol 15 ◽  
pp. 100747
Author(s):  
José Daniel Lara ◽  
Clayton Barrows ◽  
Daniel Thom ◽  
Dheepak Krishnamurthy ◽  
Duncan Callaway
Keyword(s):  
Power System ◽  
Data Management ◽  
Large Scale ◽  
Scale Modeling ◽  
System Data ◽  
Large Scale Modeling

P2PNet: A Simulation Architecture for Large-scale P2P systems

2007 ◽  
pp. 567-581
Author(s):  
Lechang Cheng ◽  
Norm Hutchinson ◽  
Mabo R. Ito
Keyword(s):  
Large Scale ◽  
P2p Systems

Data Management in Scientific Workflows

2012 ◽  
pp. 177-187
Author(s):  
Ewa Deelman ◽  
Ann Chervenak
Keyword(s):  
Data Management ◽  
Gravitational Wave ◽  
Large Scale ◽  
Real Life ◽  
Scientific Workflows ◽  
Workflow Systems ◽  
Automated Generation ◽  
Workflow Execution ◽  
Data Products ◽  
Workflow Planning

Scientific applications such as those in astronomy, earthquake science, gravitational-wave physics, and others have embraced workflow technologies to do large-scale science. Workflows enable researchers to collaboratively design, manage, and obtain results that involve hundreds of thousands of steps, access terabytes of data, and generate similar amounts of intermediate and final data products. Although workflow systems are able to facilitate the automated generation of data products, many issues still remain to be addressed. These issues exist in different forms in the workflow lifecycle. This chapter describes a workflow lifecycle as consisting of a workflow generation phase where the analysis is defined, the workflow planning phase where resources needed for execution are selected, the workflow execution part, where the actual computations take place, and the result, metadata, and provenance storing phase. The authors discuss the issues related to data management at each step of the workflow cycle. They describe challenge problems and illustrate them in the context of real-life applications. They discuss the challenges, possible solutions, and open issues faced when mapping and executing large-scale workflows on current cyberinfrastructure. They particularly emphasize the issues related to the management of data throughout the workflow lifecycle.

Applications

2010 ◽  
pp. 235-252
Author(s):  
Valentin Cristea ◽  
Ciprian Dobre ◽  
Corina Stratan ◽  
Florin Pop
Keyword(s):  
Distributed Systems ◽  
Large Scale ◽  
P2p Systems ◽  
Grid Applications ◽  
The Subject ◽  
Entire World

This chapter covers the subject of application in LSDS. The chapter is organized in two parts. The chapter parts present two aspect of application in LSDS: the overview of applications in entire world and the method of applications development. It is also presented a description of current projects and applications in large scale distributed systems, like applications from OSG projects in USA, EGEE and SEE-GRID applications in Europe and Asia, DEISA initiative (Distributed European Infrastructure for Supercomputing Applications). This part also presents the relevant applications in LSDS, like Grids, P2P systems.

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