ENGLISH
TITLE: Towards the design of optimal data redundancy schemes for heterogeneous cloud storage infrastructures | |
Abstract—
Nowadays, data storage requirements fromend-users are growing, demandingmore
capacity, more reliability and the capability to access information from anywhere. Cloud storage
services meet this demand by providing transparent and reliable storage solutions. Most
of these solutions are built on distributed infrastructures that rely on data redundancy to
guarantee a 100% of data availability.Unfortunately, existing redundancy schemes very often
assume that resources are homogeneous, an assumption that may increase storage costs in
heterogeneous infrastructures – e.g., clouds built of voluntary resources.
In this work, we analyze how distributed redundancy schemes can be optimally deployed
over heterogeneous infrastructures. Specifically, we are interested in infrastructures where
nodes present different online availabilities. Considering these heterogeneities,we present a
mechanism to measure data availability more precisely than existing works. Using this
mechanism, we infer the optimal data placement policy that reduces the redundancy used,
and then its associated overheads. In heterogeneous settings, our results show that data
redundancy can be reduced up to 70%.
Keywords—
Cloud storage, Distributed storage, Data availability, Erasure codes
|
|
توضيح و دانلود متن مقاله
خريد مقاله
|
فارسي