GridSAT: A Chaff-based Distributed SAT Solver for the Grid
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Predicting bounds on queuing delay for batch-scheduled parallel machines
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Data Assimilation: The Ensemble Kalman Filter
Data Assimilation: The Ensemble Kalman Filter
Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Accord: a programming framework for autonomic applications
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Pervasive distributed volume rendering in a lightweight multi-agent platform
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Issues and scenarios for self-managing grid middleware
Proceedings of the 2nd workshop on Grids meets autonomic computing
Modelling data-driven CO2 sequestration using distributed HPC cyberinfrastructure
Proceedings of the 2010 TeraGrid Conference
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Self-adaptive architectures for autonomic computational science
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Running many molecular dynamics simulations on many supercomputers
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
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The development of a simple effective distributed applications that can utilize multiple distributed resources remains challenging. Therefore, not surprisingly, it is difficult to implement advanced application characteristics - such as autonomic behaviour for distributed applications. Notwithstanding, there exist a large class of applications which could benefit immensely with support for autonomic properties and behaviour. For example, many applications have irregular and highly variable resource requirements which are very difficult to predict in advance. As a consequence of irregular execution characteristics, dynamic resource requirements are difficult to predict a priori thus rendering static resource mapping techniques such as work flows ineffective; in general the resource utilization problem can be addressed more efficiently using autonomic approaches. This paper discusses the design and development of a prototype framework that can support many of the requirements of Autonomic applications that desire to use Computational Grids. We provide here an initial description of the features and the architecture of the Lazarus framework developed using SAGA, integrate it with an Ensemble Kalman Filter application, and demonstrate the advantages - performance and lower development cost, of the framework. As proof of concept we deploy Lazarus on several different machines on the TeraGrid, and show the effective utilization of several heterogeneous resources and distinct performance enhancements that autonomics provides. Careful analysis provides insight into the primary reason underlying the performance improvements, namely a late-binding and an optimal choice of the configuration of resources selected.