Title
Optimal and Alternating-Direction Load Balancing Schemes
Abstract
We discuss iterative nearest neighbor load balancing schemes on processor networks which are represented by a cartesian product of graphs like e.g. tori or hypercubes. By the use of the Alternating-Direction Loadbalancing scheme, the number of load balance iterations decreases by a factor of 2 for this type of graphs. The resulting flow is analyzed theoretically and it can be very high for certain cases. Therefore, we furthermore present the Mixed-Direction scheme which needs the same number of iterations but results in a much smaller flow.Apart from that, we present a simple optimal diffusion scheme for general graphs which calculates a minimal balancing flow in the l2 norm. The scheme is based on the spectrum of the graph representing the network and needs only m-1 iterations in order to balance the load with m being the number of distinct eigenvalues.
Year
DOI
Venue
1999
10.1007/3-540-48311-X_36
Euro-Par
Keywords
Field
DocType
certain case,simple optimal diffusion scheme,nearest neighbor load,mixed-direction scheme,smaller flow,resulting flow,minimal balancing flow,load balance iterations decrease,alternating-direction loadbalancing scheme,cartesian product,load balance,nearest neighbor
k-nearest neighbors algorithm,Load balancing (computing),Computer science,Scheduling (computing),Cartesian product of graphs,Parallel computing,Multiprocessing,Norm (mathematics),Hypercube,Eigenvalues and eigenvectors,Distributed computing
Conference
Volume
ISSN
ISBN
1685
0302-9743
3-540-66443-2
Citations 
PageRank 
References 
15
1.11
9
Authors
4
Name
Order
Citations
PageRank
Robert Elsässer1636.54
Andreas Frommer2251.91
Burkhard Monien32199279.35
Robert Preis433625.95