Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Vladimir Shestak"'
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
Publikováno v:
Journal of Parallel and Distributed Computing. 72:1186-1194
The problem of finding efficient workload distribution techniques is becoming increasingly important today for heterogeneous distributed systems where the availability of compute nodes may change spontaneously over time. Resource-allocation policies
Publikováno v:
Journal of Parallel and Distributed Computing. 68:1157-1173
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, such systems are expected to function in a physical environment replete
Autor:
Rose A. Daley, Vladimir Shestak, Howard Jay Siegel, Edwin K. P. Chong, Lotfi Benmohamed, Anthony A. Maciejewski, I-Jeng Wang
Publikováno v:
Journal of Parallel and Distributed Computing. 68:410-426
Providing efficient workload management is an important issue for a large-scale heterogeneous distributed computing environment where a set of periodic applications is executed. The considered shipboard distributed system is expected to operate in an
Autor:
Mohammad Al-Otaibi, Panho Lee, Alan Pippin, Ron Pichel, Anthony A. Maciejewski, Mahir Aydin, M. Oltikar, Howard Jay Siegel, Ashish M. Mehta, Yogish Krishnamurthy, Prasanna Sugavanam, Junxing Zhang, Kumara Guru, Syed Ali, M. Raskey, Aaron Horiuchi, Vladimir Shestak
Publikováno v:
Journal of Parallel and Distributed Computing. 67:400-416
Heterogeneous computing (HC) systems composed of interconnected machines with varied computational capabilities often operate in environments where there may be inaccuracies in the estimation of task execution times. Makespan (defined as the completi
Publikováno v:
Aviation, Vol 26, Iss 4 (2022)
With the improvement in reliability of modern aircraft systems, an increase in their complexity led to the fact that failures became non-standard and problematic to predict. As a result, IATA guided the development of Evidence-Based Training (EBT), w
Externí odkaz:
https://doaj.org/article/8f9274a6cff54087b64620418b61c4b8
Publikováno v:
IPDPS
The problem of finding efficient workload distribution techniques is becoming increasingly important today for heterogeneous distributed systems where the availability of compute nodes may change spontaneously over time. Therefore, the resource-alloc
Autor:
Timothy Renner, Howard Jay Siegel, Andrew M. Sutton, Rinku Dewri, Puneet Prakash, Luis Diego Briceno, J. Ladd, Anthony A. Maciejewski, Sudha Govindasamy, Vladimir Shestak, David Janovy, Amin Alqudah, Jay Smith
Publikováno v:
IPDPS
Heterogeneous distributed computing systems often must operate in an environment where system parameters are subject to uncertainty. Robustness can be defined as the degree to which a system can function correctly in the presence of parameter values
Publikováno v:
ICPP
Often, parallel and distributed computing systems must operate in an environment replete with uncertainty. Determining a resource allocation that accounts for this uncertainty in a way that can provide a probabilistic guarantee that a given level of
Publikováno v:
ISPAN
The resources in parallel computer systems (including heterogeneous clusters) should be allocated to the computational applications in a way that maximizes some system performance measure. However, allocation decisions and associated performance pred