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Scheduling and load balancing

Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003. Proceedings., 2003
Scheduling and load balancing are fundamental issues for the success of parallel, distributed, and network-based computer systems. Even the most powerful high performance computing environment requires proper support of such techniques in order to fulfill the users expectations in terms of performance and efficiency.
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Load balancing and switch scheduling

IEEE International Conference on Communications, 2005. ICC 2005. 2005, 2005
Packet switching remains one of the bottlenecks in building fast Internet routers. Load balancing and switch scheduling are two important algorithms in the effort to maximize the throughput and minimize the latency of these packet switches. A load balancing algorithm regulates the traffic to conform to the service rates while a switch scheduling ...
null Xiangheng Liu, A. Goldsmith
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Online control optimization using load driven scheduling

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
In many real-time control applications, the task periods are typically fixed and worst-case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras becomes a popular alternative to the use of embedded sensors. However, the execution time of visual tracking varies greatly.
Xue Liu   +3 more
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Class Schedules— Computer Loaded or Student Self-Scheduled?

NASSP Bulletin, 1979
Writing in response to Larry Kelly's "Student Self—Scheduling—Is It Worth the Risk?" (Bulletin, February 1979), this author feels Kelly did not clearly delineate the difference between course selection and class scheduling. Further, he feels Kelly overemphasized the problem of indiscriminate student changes during the scheduling process.
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Load shedding schedules considering probabilistic outages

2005 International Power Engineering Conference, 2005
The load shedding problem of relatively small power networks has been investigated. Procedures to develop traditional load shedding schemes are reviewed and their implementation in SimuLink/Matlab have been carried out. Simulation studies are presented to verify the performance of these schemes and the likely discrepancies between the simple ...
G.B. Shrestha, K.C. Lee
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Load Balancing and Scheduling Techniques

1990
As discussed in Chapters 1 and 2, IVSs employ a sequence of image understanding algorithms in which the output of an algorithm is the input of the next algorithm in the sequence. Algorithms that constitute an integrated vision systems exhibit different characteristics, and therefore, require different data decomposition techniques and efficient load ...
Alok N. Choudhary, Janak H. Patel
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Load Scheduling with Profile Information

2000
Within the past five years, many manufactures have added hardware performance counters to their microprocessors to generate profile data cheaply. We show how to use Compaq's DCPI tool to determine load latencies which are at a fine, instruction granularity and use them as fodder for improving instruction scheduling.
Lindenmaier, Götz   +2 more
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Pursuit Algorithm for optimized load scheduling

2012 IEEE International Power Engineering and Optimization Conference, 2012
Demand Response (DR) has gained importance in the recent years. The prime objective of DR is to reduce the maximum demand. There are various DR schemes. This study focuses on price based DR schemes in which consumer is motivated to change his load demand pattern by pricing based incentives.
S. Q. Ali   +3 more
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Scheduling and load balancing

2004
Scheduling and Load Balancing techniques are key issues for the performance of applications executed in parallel and distributed environments, and for the efficient utilization of these computational resources. Research in this field has a long history and is well consolidated.
Luque E   +3 more
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Topic 3 Scheduling and Load-Balancing

2007
More and more parallel and distributed systems (clusters, grid and global computing) are available all over the world, opening new perspectives for developers of a large range of applications including data mining, multi-media, and bio-computing. However, this very large potential of computing power remains unexploited to a large degree, mainly due to ...
Henri Casanova   +3 more
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