A PROXY SERVER INFRASTRUCTURE
FOR ADAPTIVE MOBILE APPLICATIONS

Jianwen Wang and Thomas Kunz

Systems and Computer Engineering

Carleton University

http://kunz-pc.sce.carleton.ca/

tkunz@sce.carleton.ca

Related Work

Typically, related work focuses on bandwidth variation

Other resources are also constrained (memory, power, CPU capabilities) and may vary over time

Majority of solutions: introduce proxy between client (application executing on mobile device) and server, proxy compresses and filters data stream

sometimes, degree of compression depends on available bandwidth

user mobility often not addressed/supported

Some other solutions:

view mobile purely as User Interface (WWW browsers, Teleporting, ....)

statically partition client application between mobile and proxy

dynamically partition client application between mobile and proxy

partition directed by application (Rover, MaROS, ....)

partition transparent to application (using mobile code toolkits)

Generic Architecture
(presented at AI ‘99)

Sample Application: MPEG Player

Runtime System

Collecting System Parameters

Experimental Setup

Results

Conclusions and Future Work

Goal: facilitate design, implementation and deployment of new and innovative PCS services (resource-intense, multi-medial)

emphasis on transparently overcoming resource limitations and variances in available resources (power, bandwidth, memory, CPU speed)

resource variations exist during executions as well as between executions (cellphone vs. PDAs vs. laptop)

explore mobile code as unifying framework to investigate resource tradeoffs

Open issues:

collecting link bandwidth

costs of migration/handoff

use of hysteresis similar to location mgmt in cellular networks

load balancing between client and proxy (under way)

include WinCE or Palms (necessitates new mobile code toolkit)

comparison to “traditional” approaches, active networks

scalability to provincial or country-wide deployment: simulation


	Jianwen Wang and Thomas Kunz
	Systems and Computer Engineering
	Carleton University
	http://kunz-pc.sce.carleton.ca/
	tkunz@sce.carleton.ca


Typically, related work focuses on bandwidth variation
Other resources are also constrained (memory, power, CPU capabilities) and may vary over time
Majority of solutions: introduce proxy between client (application executing on mobile device) and server, proxy compresses and filters data stream
	sometimes, degree of compression depends on available bandwidth
	user mobility often not addressed/supported
Some other solutions:
	view mobile purely as User Interface (WWW browsers, Teleporting, ....)
	statically partition client application between mobile and proxy
	dynamically partition client application between mobile and proxy
		partition directed by application (Rover, MaROS, ....)
		partition transparent to application (using mobile code toolkits)


Goal: facilitate design, implementation and deployment of new and innovative PCS services (resource-intense, multi-medial)
	emphasis on transparently overcoming resource limitations and variances in available resources (power, bandwidth, memory, CPU speed)
	resource variations exist during executions as well as between executions (cellphone vs. PDAs vs. laptop)
	explore mobile code as unifying framework to investigate resource tradeoffs
Open issues:
	collecting link bandwidth
	costs of migration/handoff
		use of hysteresis similar to location mgmt in cellular networks
	load balancing between client and proxy (under way)
	include WinCE or Palms (necessitates new mobile code toolkit)
	comparison to “traditional” approaches, active networks
	scalability to provincial or country-wide deployment: simulation