|Title:||SCDA: SLA-aware Cloud Datacenter Architecture for Efficient Content Storage and Retrieval
|Subject(s):||Cloud architecture, max/min fair, SLA aware, content storage and retrieval
|Abstract:||With the fast growth of (online) content and
the need for high quality content services, cloud data
centers are increasingly becoming the preferred places to
store data and retrieve it from. With a highly variable
network traffic and limited resources, efficient server selec-
tion and data transfer rate allocation mechanisms become
necessary. However, current approaches rely on random
server selection schemes and inefficient data transmission
rate control mechanisms.
In this paper we present SCDA, an efficient server selec-
tion, resource allocation and enforcement mechanism with
many salient features. SCDA has prioritized rate allocation
mechanism to satisfy different service level agreements
(SLA)s on throughput and delays. The allocation scheme
can achieve max/min fairness. SCDA has a mechanism to
detect and hence mitigate SLA violation in realtime.
We have implemented SCDA in the NS2 simulator.
Experimental results confirm some of the design goals of
SCDA to obtain a lower content transfer time and a higher
throughput. The design of SCDA can achieve a content
transfer time which is about 50% lower than the existing
schemes and a throughput which is higher than existing
approaches by upto than 60%.
|Peer Reviewed:||not peer reviewed
|Date Available in IDEALS:||2013-01-18