A User-Centered Approach to Active Replica Management in Mobile Environments

A replication scheme determines the number and location of replicas in a distributed system. Traditional static replication schemes do not perform well in mobile environments due to the assumptions of fixed hosts, relatively static access patterns, and the lack of considerations on users' behal...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on mobile computing 2006-11, Vol.5 (11), p.1606-1619
Main Authors: Wu, S., Chang, Y.-T.
Format: Magazinearticle
Language:English
Subjects:
Applied sciences
Availability
Computer simulation
Costs
data dependencies
Delay
Dynamic replication
Dynamic scheduling
Dynamical systems
Dynamics
Environmental management
Exact sciences and technology
Heuristic algorithms
Mobile computing
mobile data management
Operation, maintenance, reliability
Position (location)
Prediction algorithms
Predictive models
Processor scheduling
Recording
Replication
Schedules
Statistics
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
user profiles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A replication scheme determines the number and location of replicas in a distributed system. Traditional static replication schemes do not perform well in mobile environments due to the assumptions of fixed hosts, relatively static access patterns, and the lack of considerations on users' behalf. For effective data management in mobile environments, we define the notion of activity-data dependency for inferring the information requirement of mobile users based on their scheduled activities. We then propose a dynamic replication scheme which employs user profiles for recording users' mobility schedules, accesses behaviors and read/write patterns, and actively reconfigures the replicas to adapt to changes in user locations, data requests, and system status. Simulation results demonstrate that the scheme can accurately predict the data requirement to facilitate effective replication, reduce response time, and increase data availability
ISSN:1536-1233
1558-0660
DOI:10.1109/TMC.2006.158