Search For:

Displaying 1-14 out of 14 total
Perfect Generation, Monotonicity and Finite Queueing Networks
Found in: Quantitative Evaluation of Systems, International Conference on
By Jean-Marc Vincent
Issue Date:September 2008
pp. 319
Perfect generation, also called perfect or exact simulation, provides a new technique to sample steady-state and avoids the burn-in time period. When the simulation algorithm stops, the returned state value is in steady-state. Initiated by Propp and Wilson...
 
Psi^2 a Software Tool for the Perfect Simulation of Finite Queueing Networks
Found in: Quantitative Evaluation of Systems, International Conference on
By Jean-Marc Vincent, Jerome Vienne
Issue Date:September 2007
pp. 113-114
Markovian networks of finite capacity queues are widely used models for performance evaluation of systems and networks. Unfortunately, excepted in some specific situations, these models are not tractable analytically [2]. Approximation techniques, aggregat...
   
Perfect Simulation of Queueing Networks with Blocking and Rejection
Found in: Applications and the Internet Workshops, IEEE/IPSJ International Symposium on
By Jean-Marc Vincent
Issue Date:February 2005
pp. 268-271
Traditional product form property of Markovian queueing networks usually is vanished when capacity of queues are finite and clients are blocked or rejected. A new efficient simulation method, derived from Propp & Wilson [11] perfect simulation, is appl...
 
The Best-Partitions Problem: How to Build Meaningful Aggregations
Found in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Robin Lamarche-Perrin,Yves Demazeau,Jean-Marc Vincent
Issue Date:November 2013
pp. 399-404
The design and the debugging of large distributed AI systems require abstraction tools to build tractable macroscopic descriptions. Data aggregation provides such tools by partitioning the system dimensions into aggregated pieces of information. Since this...
 
Discovering Statistical Models of Availability in Large Distributed Systems: An Empirical Study of SETI@home
Found in: IEEE Transactions on Parallel and Distributed Systems
By Bahman Javadi,Derrick Kondo,Jean-Marc Vincent,David P. Anderson
Issue Date:November 2011
pp. 1896-1903
In the age of cloud, Grid, P2P, and volunteer distributed computing, large-scale systems with tens of thousands of unreliable hosts are increasingly common. Invariably, these systems are composed of heterogeneous hosts whose individual availability often e...
 
Introducing Queuing Network-Based Performance Awareness in Autonomic Systems
Found in: Autonomic and Autonomous Systems, International Conference on
By Ahmed Harbaoui, Nabila Salmi, Bruno Dillenseger, Jean-Marc Vincent
Issue Date:March 2010
pp. 7-12
This paper advocates for the introduction of performance awareness in autonomic systems. The motivation is to be able to predict the performance of a target configuration when a self-* feature is planning a system reconfiguration.We propose a global and pa...
 
Performance Monitoring and Visualization of Large-Sized and Multi-Threaded Applications with the Paj? Framework
Found in: Computing in the Global Information Technology, International Multi-Conference on
By Mehdi Kessis, Jean-Marc Vincent
Issue Date:August 2006
pp. 34
Performance is a critical issue in the context of massively parallel programs. In practice, it is almost impossible to observe and understand the behavior of such programs without the assistance of automated tools which offer the program developer insights...
 
Resources availability for Peer to Peer systems
Found in: Advanced Information Networking and Applications, International Conference on
By Georges Da Costa, Corine Marchand, Olivier Richard, Jean-Marc Vincent
Issue Date:April 2006
pp. 21-28
Nowadays, Peer to Peer systems are largely studied. But in order to evaluate them in a realistic way, a better knowledge of their environments is needed. In this article we focus on the computers availability in these systems. We characterize this availabi...
 
Trace Management and Analysis for Embedded Systems
Found in: 2013 IEEE 7th International Symposium on Embedded Multicore Socs (MCSoC)
By Generoso Pagano,Damien Dosimont,Guillaume Huard,Vania Marangozova-Martin,Jean-Marc Vincent
Issue Date:September 2013
pp. 119-122
The growing complexity of embedded systems makes their behavior analysis a challenging task. In this context, tracing appears to be a promising solution as it provides relevant information about the system execution. However, trace management and analysis ...
 
PSI2: Envelope Perfect Sampling of Non Monotone Systems
Found in: Quantitative Evaluation of Systems, International Conference on
By Ana Bušic, Bruno Gaujal, Gaël Gorgo, Jean-Marc Vincent
Issue Date:September 2010
pp. 83-84
The famed perfect sampling method of Propp and Wilson uses a backward coupling scheme to compute unbiased samples of the stationary distribution of Markov chains. It has been implemented in a software tool, called PSI2, that proved very efficient for monot...
 
A New Cache Approach Based on Graph for Web Servers
Found in: Mexican International Conference on Computer Science
By Euloge Edi, Denis Trystram, Jean Marc Vincent
Issue Date:September 2004
pp. 393-398
This article deals with the problem of data cache for dynamic web servers. A set of requests (which number could be large) is submitted to a server for computing. Every request is modelled by a series-parallel graph of elementary tasks. These tasks are com...
 
Evaluating trace aggregation for performance visualization of large distributed systems
Found in: 2014 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
By Robin Lamarche-Perrin,Lucas Mello Schnorr,Jean-Marc Vincent,Yves Demazeau
Issue Date:March 2014
pp. 139-140
Performance analysis through visualization techniques usually suffers semantic limitations due to the size of parallel applications. Most performance visualization tools rely on data aggregation to work at scale, without any attempt to evaluate the loss of...
   
Interactive analysis of large distributed systems with scalable topology-based visualization
Found in: 2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
By Lucas Mello Schnorr,Arnaud Legrand,Jean-Marc Vincent
Issue Date:April 2013
pp. 64-73
The performance of parallel and distributed applications is highly dependent on the characteristics of the execution environment. In such environments, the network topology and characteristics tell how fast data can be transmitted and placed in the resourc...
   
Multi-scale analysis of large distributed computing systems
Found in: Proceedings of the third international workshop on Large-scale system and application performance (LSAP '11)
By Arnaud Legrand, Jean-Marc Vincent, Lucas Mello Schnorr
Issue Date:June 2011
pp. 27-34
Large scale distributed systems are composed of many thousands of computing units. Today's examples of such systems are grid, volunteer and cloud computing platforms. Generally, their analyses are done through monitoring tools that gather resource informat...
     
 1