Architecture and Functioning of Large-Scale Distributed Reconfigurable Computer Systems

2005 ◽  
Author(s):  
V.G. Khoroshevsky
Keyword(s):  
Large Scale ◽  
Computer Systems

scholarly journals Scalable Load Balancing in the Presence of Heterogeneous Servers

2021 ◽  
Vol 48 (3) ◽  
pp. 37-38
Author(s):  
Kristen Gardner ◽  
Jazeem Abdul Jaleel ◽  
Alexander Wickeham ◽  
Sherwin Doroudi
Keyword(s):  
Load Balancing ◽  
System Performance ◽  
Large Scale ◽  
Virtual Machines ◽  
Computer Systems ◽  
Heterogeneous Environments ◽  
Heterogeneous Servers ◽  
Cloud Environment ◽  
Large Scale Systems ◽  
Modern Computer

In large-scale computer systems, deciding how to dispatch arriving jobs to servers is a primary factor affecting system performance. Consequently, there is a wealth of literature on designing, analyzing, and evaluating the performance of load balancing policies. For analytical tractability, most existing work on dispatching in large-scale systems makes a key assumption: that the servers are homogeneous, meaning that they all have the same speeds, capabilities, and available resources. But this assumption is not accurate in practice. Modern computer systems are instead heterogeneous: server farms may consist of multiple generations of hardware, servers with varied resources, or even virtual machines running in a cloud environment. Given the ubiquity of heterogeneity in today's systems, it is critically important to develop load balancing policies that perform well in heterogeneous environments. In this paper, we focus on systems in which server speeds are heterogeneous.

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