NDLI: Elastic Load-Balancing in a Distributed Spatial Cache Overlay

Content Provider	IEEE Xplore Digital Library
Author	Lubbe, C. Reuter, A. Mitschang, B.
Copyright Year	2012
Abstract	Location-based services (LBS) have gained enormous popularity, which imposes increasing query loads at the data tier of an LBS. Yet, the data access patterns of LBS typically possess high temporal and spatial locality. Therefore, a dedicated spatial cache which provides efficient access to the data currently needed may considerably reduce this load. To ensure high throughput, multiple cache nodes can collaborate in a distributed spatial cache overlay, which balances load among the nodes. However, load-balancing is a non-trivial task in this context, as load spreads unevenly in space and varies notably over time. This requires constant readjustment to shifting hot spots. We present an elastic load-balancing mechanism between cache nodes that is based on the physical model of a particle-spring system. Using spring contraction, nodes instantly form processing clusters in regions with high load and thus can easily work off accumulating queries. Our evaluation shows that our approach quickly adapts to rapidly changing hot spots and thereby ensures high throughput throughout the entire execution.
Starting Page	11
Ending Page	20
File Size	1793087
Page Count	10
File Format	PDF
ISBN	9781467317962
e-ISBN	9780769547138
DOI	10.1109/MDM.2012.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-23
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Springs Peer to peer computing Topology Routing Distributed databases Load modeling Spatial databases spatial data load-balancing peer-to-peer
Content Type	Text
Resource Type	Article

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