Dynamic Load Sharing and

BalancingHaidong Xue

Part One: Knowledge in Textbook Motivation, Models, Concepts, Algorithms

Part Two: Recent Work• Use the Mobile Agent and Include I/O• Duplex Loading Balancing Strategy• Stability Analysis Based• Extension-based Dynamic Load Balancing

Part Three: Future Work

Content

Part One: Knowledge in the Textbook

Motivations,ModelsConcepts, Algorithms

For most distributed applications: The prior knowledge of processes is not realistic

Motivation

Goal:

Reduce the overall turnaround time

= communication overhead + computational constraints

Motivation

(5.1c)

Models – Disjoint Process Model

(5.3c)

Models – Workstation Model

Load Sharing Joining the shortest queue (Randy Chow, Theodore Johnson, 1997)

Load Balancing Equalizing queue sizes (Randy Chow, Theodore Johnson, 1997)

Concepts

Sender-initiated Algorithm Receiver-initiated Algorithm

Algorithms

Transfer policy: When does a node become the sender? SQ ST

Selection policy: How does the sender choose a process for transfer? The last one.

Location policy: Which node should be the target receiver? RQ PL

Sender-initiated Algorithm

Sender-initiated Algorithm

11

24

35

44

ST=3

52

SQ = sender’s queue sizeST = sender thresholdRQ = receiver queue sizePL = poll limit

Sender-initiated Algorithm

Receiver-initiated Algorithm

16

24

35

44

ST=3

57

Receiver-initiated Algorithm

11

24

35

44

ST=3

52

Algorithms

Depends on Load Stock Exchange

Algorithms - Hybrid

Part Two: Recent Work

•Use the Mobile Agent and Include I/O•Duplex Loading Balancing Strategy•Stability Analysis Based•Extension-based Dynamic Load Balancing

In order to distribute the incoming load on participating nodes, use mobile agent (MA). A value function which is sum of all three

types of resources including CPU, Memory and I/O is considered.

(Neeraj Nehra, R.B.Patel, 2007)

Use the Mobile Agent and Include I/O

When comes to OBS, an Object-based Storage System, most of these strategies are hard to comply with the new feature

DLBS can be utilized in the real OBS system to provide more effective and efficient load balance than other methods

(Tan Zhipeng et al, 2009 )

Duplex Loading Balancing Strategy

the unstable behavior such as oscillatory action which caused by delay can intensely influence the performance of load balancing algorithm.

a linear dynamic load balancing model

(Qingyang Meng et al, 2008)

Stability Analysis Based

Connect extension theory with load Extension engineering method is initially

proposed by Prof. Cai Wen

(Zhang Xiayu et al, 2007)

Extension-based Dynamic Load Balancing

Part Three: Future Work

•Other theories•Collect more information

Incorporate other theory Collect more information of the processes Develop load balancing algorithm based on

those information

Future Work

Randy Chow, Theodore Johnson. Distributed Operating Systems& Algorithms. Addison Wesley, 1997

Neeraj Nehra, R.B. Patel. Towards Dynamic Load Balancing in Heterogeneous Cluster using Mobile Agent. International Conference on Computational Intelligence and Multimedia Applications 2007, 2007, 15-21

Tan Zhipeng, Feng Dan, Tu Xudong, He Fei. DLBS: Duplex Loading Balancing Strategy on Object Storage System. 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009, 45-52

Reference

Qingyang Meng, Jianzhong Qiao, Jun Liu, Shukuan Lin. A Dynamic Load Balancing Method Based on Stability Analysis. 2008 International Symposium on Computer Science and Computational Technology, 2008, 404-408

Zhang Xiayu, Yu Yongquan, Chen Baixing, Ye Feng, Tan Xingxing. An Extension-based Dynamic Load Balancing Model of Heterogeneous Server Cluster. 2007 IEEE International Conference on Granular Computing, 2007, 675-679

Reference Contd.