Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Luis Diego Briceno"'
Autor:
Luis Diego Briceno, Timothy Renner, Howard Jay Siegel, Puneet Prakash, Sudha Govindasamy, Vladimir Shestak, Andrew M. Sutton, Anthony A. Maciejewski, Jay Smith, Joshua Ladd, Amin Alqudah, Rinku Dewri, Edwin K. P. Chong, David Janovy, Mohsen Amini Salehi, Jonathan Apodaca
Publikováno v:
Journal of Parallel and Distributed Computing. 97:96-111
Heterogeneous parallel and distributed computing systems frequently must operate in environments where there is uncertainty in system parameters. Robustness can be defined as the degree to which a system can function correctly in the presence of para
Autor:
Dalton Young, Yong Zou, Anthony A. Maciejewski, Jay Smith, Sudeep Pasricha, Jonathan Apodaca, Bhavesh Khemka, Adrian Ramirez, Shirish Bahirat, Mark A. Oxley, Luis Diego Briceno, Howard Jay Siegel
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 26:2791-2805
Today’s data centers face the issue of balancing electricity use and completion times of their workloads. Rising electricity costs are forcing data center operators to either operate within an electricity budget or to reduce electricity use as much
Autor:
Steve Poole, Gene Okonski, Luis Diego Briceno, Ryan Friese, Howard Jay Siegel, Marcia Hilton, Chris Groër, Anthony A. Maciejewski, Rajendra Rambharos, Gregory A. Koenig, Bhavesh Khemka
Publikováno v:
IEEE Transactions on Computers. 64:2394-2407
We model an oversubscribed heterogeneous computing system where tasks arrive dynamically and a scheduler maps the tasks to machines for execution. The environment and workloads are based on those being investigated by the Extreme Scale Systems Center
Autor:
Mohammad Nayeem Teli, Charles Panaccione, Ye Hong, Anthony A. Maciejewski, Luis Diego Briceno, Brad Lock, Chen Zhang, Howard Jay Siegel, Fadi Wedyan
Publikováno v:
IEEE Transactions on Computers. 63:3127-3142
The creation of a Massive Multi-Player On-line Game (MMOG) has significant costs, such as maintenance of server rooms, server administration, and customer service. The capacity of servers in a client/server MMOG is hard to scale and cannot adjust qui
Autor:
Luis Diego Briceno, Anthony A. Maciejewski, Jay Smith, Russ Wakefield, Paul Maxwell, Abdulla M. Al-Qawasmeh, Ron C. Chiang, Jiayin Li, Howard Jay Siegel
Publikováno v:
Journal of Parallel and Distributed Computing. 73:1705-1717
In this study, we consider an environment composed of a heterogeneous cluster of multicore-based machines used to analyze satellite data. The workload involves large data sets and is subject to a deadline constraint. Multiple applications, each repre
Publikováno v:
The Journal of Supercomputing. 62:461-485
Heterogeneous computing (HC) is the coordinated use of different types of machines, and networks to process a diverse workload in a manner that will maximize the combined performance and/or cost effectiveness of the system. Heuristics for allocating
Deadline and energy constrained dynamic resource allocation in a heterogeneous computing environment
Autor:
Jonathan Apodaca, Howard Jay Siegel, B. Dalton Young, Anthony A. Maciejewski, Yong Zou, Sudeep Pasricha, Bhavesh Khemka, Jay Smith, Adrian Ramirez, Shirish Bahirat, Luis Diego Briceno
Publikováno v:
The Journal of Supercomputing. 63:326-347
Energy-efficient resource allocation within clusters and data centers is important because of the growing cost of energy. We study the problem of energy-constrained dynamic allocation of tasks to a heterogeneous cluster computing environment. Our goa
Autor:
Luis Diego Briceno, Howard Jay Siegel, J. White, J. Brateman, J. Martin, M. Oltikar, K. Knapp, Anthony A. Maciejewski
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 22:1780-1787
This work considers the satellite data processing portion of a space-based weather monitoring system. It uses a heterogeneous distributed processing platform. There is uncertainty in the arrival time of new data sets to be processed, and resource all
Autor:
Sudeep Pasricha, Bhavesh Khemka, Anthony A. Maciejewski, Dalton Young, Young Zou, Shirish Bahirat, Jonathan Apodaca, Adrian Ramirez, Howard Jay Siegel, Luis Diego Briceno, Jay Smith
Publikováno v:
AICCSA
In a heterogeneous environment, uncertainty in system parameters may cause performance features to degrade considerably. It then becomes necessary to design a system that is robust. Robustness can be defined as the degree to which a system can functi
Autor:
Luis Diego Briceno, Shirish Bahirat, Howard Jay Siegel, Yong Zou, Adrian Ramirez, Jonathan Apodaca, Anthony A. Maciejewski, Jay Smith, Sudeep Pasricha, B. Dalton Young, Bhavesh Khemka
Publikováno v:
ICPP Workshops
Energy-efficient resource allocation within clusters and data centers is important because of the growing cost of energy. We study the problem of energy-constrained dynamic allocation of tasks to a heterogeneous cluster computing environment. Our goa