Title :
Superset: A Non-uniform Replica Placement Strategy towards High-Performance and Cost-Effective Distributed Storage Service
Author :
Xiangyu Luo ; Yun Wang ; Zexi Zhang ; Hui Wang
Author_Institution :
Key Lab. of Comput. Network & Inf. Integration, MoE Southeast Univ., Nanjing, China
Abstract :
Load balance and power proportionality are both important aspects in constructing high-performance and cost-effective distributed storage systems. However, traditional replica placement strategies towards load balance usually produce scattered replica layouts which disable power proportionality, while recent strategies towards power proportionality are typically based on uniform replication which compromises the ability of load balance. In this article, we introduce Superset (an organized non-uniform replica placement strategy) which takes both load balance and power proportionality into consideration. The main idea is to partition the whole system into multiple uniform replication based subsystems with the accommodated file subsets satisfying the ´superset´ condition. We have conducted a series of simulations with real-world distributions of data popularity. Our results show that, compared to state of the art solutions, Superset consumes less energy to fulfill the same performance requirement while offers better performance subject to the same energy consumption constraint.
Keywords :
distributed databases; parallel processing; power aware computing; resource allocation; storage management; Superset; accommodated file subsets; cost-effective distributed storage service; cost-effective distributed storage system construction; energy consumption constraint; high-performance distributed storage service; high-performance distributed storage system construction; load balance ability; organized nonuniform replica placement strategy; power proportionality; state of the art solutions; uniform replication based subsystems; Energy consumption; Gears; Joints; Layout; Parallel processing; Rabbits; Throughput;
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2013 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4799-3260-3
DOI :
10.1109/CBD.2013.34