scholarly journals A Unified Algorithm for Load-balancing Adaptive Scientific Simulations

2000 ◽  
Author(s):  
K. Schloegel ◽  
G. Karypis ◽  
V. Kumar
Keyword(s):  
Load Balancing ◽  
Unified Algorithm ◽  
Scientific Simulations

A unified algorithm for mobility load balancing in 3GPP LTE multi-cell networks

2013 ◽  
Vol 56 (2) ◽  
pp. 1-11 ◽  
Author(s):  
Hao Wang ◽  
Nan Liu ◽  
ZhiHang Li ◽  
Ping Wu ◽  
ZhiWen Pan ◽  
...  
Keyword(s):  
Load Balancing ◽  
3Gpp Lte ◽  
Unified Algorithm ◽  
Cell Networks

scholarly journals The Zoltan and Isorropia Parallel Toolkits for Combinatorial Scientific Computing: Partitioning, Ordering and Coloring

2012 ◽  
Vol 20 (2) ◽  
pp. 129-150 ◽  
Author(s):  
Erik G. Boman ◽  
Ümit V. Çatalyürek ◽  
Cédric Chevalier ◽  
Karen D. Devine
Keyword(s):  
Load Balancing ◽  
Graph Coloring ◽  
User Interfaces ◽  
Large Scale ◽  
Scientific Computing ◽  
Combinatorial Problems ◽  
Parallel Applications ◽  
Matrix Algorithms ◽  
Scientific Simulations ◽  
Matrix Ordering

Partitioning and load balancing are important problems in scientific computing that can be modeled as combinatorial problems using graphs or hypergraphs. The Zoltan toolkit was developed primarily for partitioning and load balancing to support dynamic parallel applications, but has expanded to support other problems in combinatorial scientific computing, including matrix ordering and graph coloring. Zoltan is based on abstract user interfaces and uses callback functions. To simplify the use and integration of Zoltan with other matrix-based frameworks, such as the ones in Trilinos, we developed Isorropia as a Trilinos package, which supports most of Zoltan's features via a matrix-based interface. In addition to providing an easy-to-use matrix-based interface to Zoltan, Isorropia also serves as a platform for additional matrix algorithms. In this paper, we give an overview of the Zoltan and Isorropia toolkits, their design, capabilities and use. We also show how Zoltan and Isorropia enable large-scale, parallel scientific simulations, and describe current and future development in the next-generation package Zoltan2.

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

Development of Load Balancing Systems in a Parallel MRP System

2003 ◽  
Vol 123 (10) ◽  
pp. 1847-1857
Author(s):  
Takahiro Tsukishima ◽  
Masahiro Sato ◽  
Hisashi Onari
Keyword(s):  
Load Balancing

A Load Balancing Method for M2M Proxy Server to Realize Multi-service Connectivity and its Implementation

2014 ◽  
Vol 134 (8) ◽  
pp. 1104-1113
Author(s):  
Shinji Kitagami ◽  
Yosuke Kaneko ◽  
Hidetoshi Kambe ◽  
Shigeki Nankaku ◽  
Takuo Suganuma
Keyword(s):  
Load Balancing ◽  
Proxy Server

Dynamic Load-balancing and Control for Server-Side Rendering on Ajax-GIS

2013 ◽  
Vol 133 (4) ◽  
pp. 891-898
Author(s):  
Takeo Sakairi ◽  
Masashi Watanabe ◽  
Katsuyuki Kamei ◽  
Takashi Tamada ◽  
Yukio Goto ◽  
...  
Keyword(s):  
Load Balancing ◽  
Dynamic Load ◽  
Dynamic Load Balancing ◽  
Server Side ◽  
And Control
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