Automated storage management is critical for most dataintensive applications running on DBMSs. In large-scale storage subsystems, the workload is expected to vary with time. In or...
Lin Qiao, Balakrishna R. Iyer, Divyakant Agrawal, ...
Storage systems in emerging large-scale (a.k.a. peta-scale) computing systems often introduce a performance or scalability bottleneck. To deal with these limitations we propose a ...
Samer Al-Kiswany, Abdullah Gharaibeh, Matei Ripean...
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...
Current trends in increasing storage capacity and virtualization of resources combined with the need for energy efficiency put a challenging task in front of system designers. Pre...
Lei Ye, Gen Lu, Sushanth Kumar, Chris Gniady, John...
Abstract— Ensuring performance isolation and differentiation among workloads that share a storage infrastructure is a basic requirement in consolidated data centers. Existing man...
Magnus Karlsson, Christos T. Karamanolis, Xiaoyun ...