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Displaying 1-19 out of 19 total
Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering
Found in: Computing in Science & Engineering
By Manish Parashar,Moustafa AbdelBaky,Ivan Rodero,Aditya Devarakonda
Issue Date:July 2013
pp. 10-18
Clouds are rapidly joining high-performance computing (HPC) systems, clusters, and grids as viable platforms for scientific exploration and discovery. As a result, understanding application formulations and usage modes that are meaningful in such a hybrid ...
 
In-situ Feature-Based Objects Tracking for Large-Scale Scientific Simulations
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Fan Zhang,Solomon Lasluisa,Tong Jin,Ivan Rodero,Hoang Bui,Manish Parashar
Issue Date:November 2012
pp. 736-740
Emerging scientific simulations on leadership class systems are generating huge amounts of data. However, the increasing gap between computation and disk I/O speeds makes traditional data analytics pipelines based on post-processing cost prohibitive and of...
 
Accelerating MapReduce Analytics Using CometCloud
Found in: 2012 IEEE 5th International Conference on Cloud Computing (CLOUD)
By Moustafa AbdelBaky,Hyunjoo Kim,Ivan Rodero,Manish Parashar
Issue Date:June 2012
pp. 447-454
MapReduce-Hadoop has emerged as an effectiveframework for large-scale data analytics, providing support forexecuting jobs and storing data in a parallel and distributedmanner. MapReduce has been shown to perform very well onlarge datacenters running applic...
 
Incentivising Resource Sharing in Social Clouds
Found in: 2012 IEEE 21st International Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises (WETICE)
By Magdalena Punceva,Ivan Rodero,Manish Parashar,Omer F. Rana,Ioan Petri
Issue Date:June 2012
pp. 185-190
Social Clouds provide the capability to share resources among participants within a social network - leveraging on the trust relationships already existing between such participants. In such a system, users are able to trade resources between each other, r...
 
Adaptive memory power management techniques for HPC workloads
Found in: High-Performance Computing, International Conference on
By Karthik Elangovan,Ivan Rodero,Manish Parashar,Francesc Guim,Isaac Hernandez
Issue Date:December 2011
pp. 1-11
The memory subsystem is responsible for a large fraction of the energy consumed by compute nodes in High Performance Computing (HPC) systems. The rapid increase in the number of cores has been accompanied by a corresponding increase in the DRAM capacity an...
 
Enabling GPU and Many-Core Systems in Heterogeneous HPC Environments Using Memory Considerations
Found in: High Performance Computing and Communications, 10th IEEE International Conference on
By Francesc Guim, Ivan Rodero, Julita Corbalan, Manish Parashar
Issue Date:September 2010
pp. 146-155
Increasing the utilization of many-core systems has been one of the forefront topics these last years. Although many-cores architectures were merely theoretical models few years ago, they have become an important part of the high performance computing mark...
 
Autonomic management of distributed systems using online clustering
Found in: Parallel and Distributed Processing Workshops and PhD Forum, 2011 IEEE International Symposium on
By Andres Quiroz,Manish Parashar,Ivan Rodero
Issue Date:April 2010
pp. 1-4
Distributed computational infrastructures, as well as the applications and services that they support, are increasingly becoming an integral part of society and affecting every aspect of life. As a result, ensuring their efficient and robust operation is c...
 
Evaluation of Coordinated Grid Scheduling Strategies
Found in: High Performance Computing and Communications, 10th IEEE International Conference on
By Ivan Rodero, Francesc Guim, Julita Corbalan
Issue Date:June 2009
pp. 1-10
Grid computing has emerged as a way to share geographically and organizationally distributed resources that may belong to different institutions or administrative domains. In this context, the scheduling and resource management is usually performed by a gr...
 
Modeling and Evaluating Interoperable Grid Systems
Found in: eScience, IEEE International Conference on
By Ivan Rodero, Francesc Guim, Julita Corbalan
Issue Date:December 2008
pp. 508-515
Grid resource management tools have evolved from manual discovery and job submission to sophisticated brokering solutions. User requirements have created certain properties that resource managers have learned to support. This development is still continuin...
 
Coordinated Co-allocation Scheduling on Heterogeneous Clusters of SMPs
Found in: eScience, IEEE International Conference on
By Ivan Rodero, Julita Corbalan
Issue Date:December 2008
pp. 703-710
Job scheduling research for parallel systems has been widely exploited in recent years, especially in centers with High Performance Computing facilities. In the recent past we presented the eNANOS execution environment which is based on a coordinated archi...
 
Enabling Autonomic Meta-Scheduling in Grid Environments
Found in: Autonomic Computing, International Conference on
By Yanbin Liu, S. Masoud Sadjadi, Liana Fong, Ivan Rodero, David Villegas, Selim Kalayci, Norman Bobroff, Juan Carlos Martinez
Issue Date:June 2008
pp. 199-200
Grid computing supports workload execution on computing resources that are shared across a set of collaborative organizations. At the core of workload management for Grid computing is a software component, called meta-scheduler or Grid resource broker, tha...
 
Enabling Interoperability among Meta-Schedulers
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Norman Bobroff, Liana Fong, Selim Kalayci, Yanbin Liu, Juan Carlos Martinez, Ivan Rodero, S. Masoud Sadjadi, David Villegas
Issue Date:May 2008
pp. 306-315
Grid computing supports shared access to computing resources from cooperating organizations or institutes in the form of virtual organizations. Resource brokering middleware, commonly known as a meta-scheduler or a resource broker, matches jobs to distribu...
 
How the JSDL can Exploit the Parallelism?
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Ivan Rodero, Francesc Guim, Julita Corbalán, Jesús Labarta
Issue Date:May 2006
pp. 275-282
The description of the jobs is a very important issue for the scheduling and management of Grid jobs. Since there are a lot of different languages for describing Grid jobs, the GGF have presented the Job Submission Description Language (JSDL) to standardiz...
 
Uncertainty-aware Autonomic Resource Provisioning for Mobile Cloud Computing
Found in: IEEE Transactions on Parallel and Distributed Systems
By Hariharasudhan Viswanathan,Eun Kyung Lee,Ivan Rodero,Dario Pompili
Issue Date:August 2014
pp. 1
Mobile platforms are becoming the predominant medium of access to Internet services due to the tremendous increase in their computation and communication capabilities. However, enabling applications that require real-time in-the-field data collection and p...
 
Exploring power behaviors and trade-offs of in-situ data analytics
Found in: Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis (SC '13)
By Aaditya G. Landge, Attila Gyulassy, Hemanth Kolla, Jacqueline Chen, Marc Gamell, Patrick McCormick, Peer-Timo Bremer, Scott Klasky, Valerio Pascucci, Ivan Rodero, Janine C. Bennett, Manish Parashar, Scott Pakin
Issue Date:November 2013
pp. 1-12
As scientific applications target exascale, challenges related to data and energy are becoming dominating concerns. For example, coupled simulation workflows are increasingly adopting in-situ data processing and analysis techniques to address costs and ove...
     
Enabling autonomic computing on federated advanced cyberinfrastructures
Found in: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference (CAC '13)
By Ivan Rodero, Javier Diaz-Montes, Manish Parashar, Mengsong Zou
Issue Date:August 2013
pp. 1-2
We present a federation model to support the dynamic federation of resources and autonomic management mechanisms that coordinate multiple workflows to use resources based on objectives. We illustrate the effectiveness of the proposed framework and autonomi...
     
A case for MapReduce over the internet
Found in: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference (CAC '13)
By Hrishikesh Gadre, Ivan Rodero, Javier Diaz-Montes, Manish Parashar
Issue Date:August 2013
pp. 1-10
In recent years, MapReduce programming model and specifically its open source implementation Hadoop has been widely used by organizations to perform large-scale data processing tasks such as web-indexing, data mining as well as scientific simulations. The ...
     
Towards energy-aware autonomic provisioning for virtualized environments
Found in: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC '10)
By Andres Quiroz, Francesc Guim, Ivan Rodero, Juan Jaramillo, Manish Parashar
Issue Date:June 2010
pp. 320-323
As energy efficiency and associated costs become key concerns, consolidated and virtualized data centers and clouds are attractive computing platforms for data- and compute-intensive applications. Recently, these platforms are also being considered for mor...
     
An experimental system for grid meta-broker evaluation
Found in: Proceedings of the 1st ACM workshop on Large-Scale system and application performance (LSAP '09)
By David Villegas, Ivan Rodero, Liana Fong, Norman Bobroff, S. Masoud Sadjadi, Seetharami Seelam, Yanbin Liu
Issue Date:June 2009
pp. 1-2
Grid meta-broker is a key enabler in realizing the full potential of inter-operating grid computing systems. A challenge to properly evaluate the effectiveness of meta-brokers is the complexity of developing a realistic grid experimental environment. In th...
     
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