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Replicated Data Management for Mobile Computing (Paperback)
Loot Price: R1,057
Discovery Miles 10 570
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Replicated Data Management for Mobile Computing (Paperback)
Series: Synthesis Lectures on Mobile & Pervasive Computing
Expected to ship within 10 - 15 working days
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Managing data in a mobile computing environment invariably involves
caching or replication. In many cases, a mobile device has access
only to data that is stored locally, and much of that data arrives
via replication from other devices, PCs, and services. Given
portable devices with limited resources, weak or intermittent
connectivity, and security vulnerabilities, data replication serves
to increase availability, reduce communication costs, foster
sharing, and enhance survivability of critical information. Mobile
systems have employed a variety of distributed architectures from
client-server caching to peer-to-peer replication. Such systems
generally provide weak consistency models in which read and update
operations can be performed at any replica without coordination
with other devices. The design of a replication protocol then
centers on issues of how to record, propagate, order, and filter
updates. Some protocols utilize operation logs, whereas others
replicate state. Systems might provide best-effort delivery, using
gossip protocols or multicast, or guarantee eventual consistency
for arbitrary communication patterns, using recently developed
pairwise, knowledge-driven protocols. Additionally, systems must
detect and resolve the conflicts that arise from concurrent updates
using techniques ranging from version vectors to read-write
dependency checks. This lecture explores the choices faced in
designing a replication protocol, with particular emphasis on
meeting the needs of mobile applications. It presents the inherent
trade-offs and implicit assumptions in alternative designs. The
discussion is grounded by including case studies of research and
commercial systems including Coda, Ficus, Bayou, Sybase's
iAnywhere, and Microsoft's Sync Framework. Table of Contents:
Introduction / System Models / Data Consistency / Replicated Data
Protocols / Partial Replication / Conflict Management / Case
Studies / Conclusions / Bibliography
General
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