Abstract—Resources are often shared to improve resource utilization and reduce costs. However, not all resources exhibit good performance when shared among multiple applications. The work presented here focuses on effectively managing a shared storage cache. To provide differentiated services to applications exercising a storage cache, we propose a novel scheme that uses curve fitting to dynamically partition the storage cache. Our scheme quickly adapts to application execution, showing increasing accuracy over time. It satisfies application QoS if it is possible to do so, maximizes the individual hit rates of the applications utilizing the cache, and consequently increases the overall storage cache hit rate. Through extensive trace-driven ...
Memory (cache, DRAM, and disk) is in charge of providing data and instructions to a computer\u27s pr...
Contention for shared cache resources has been recognized as a major bottleneck for multicores—espec...
More and more parallel applications are running in a distributed environment to take advantage of ea...
To handle the growing demands of data intensive applications, storage consolidation is becoming an a...
Modern storage environments are composed of a variety of devices with different performance characte...
© 2018 IEEE. Cache partitioning is now available in commercial hardware. In theory, software can lev...
Web applications employ key-value stores to cache the data that is most commonly accessed. The cache...
Cache partitioning and sharing is critical to the effective utilization of multicore processors. How...
Abstract. I/O intensive applications have posed great challenges to computational scientists. A majo...
Our thesis is that operating systems should manage the on-chip shared caches of multicore processors...
This paper proposes a dynamic cache partitioning method for simultaneous multithreading systems. We ...
Cache partitioning has been proposed as an interesting alternative to traditional eviction policies ...
Abstract—Most computer systems currently consist of DRAM as main memory and hard disk drives (HDDs) ...
Computing workloads often contain a mix of interactive, latency-sensitive foreground applications an...
Multi-core computers are infamous for being hard to use in time-critical systems due to execution-ti...
Memory (cache, DRAM, and disk) is in charge of providing data and instructions to a computer\u27s pr...
Contention for shared cache resources has been recognized as a major bottleneck for multicores—espec...
More and more parallel applications are running in a distributed environment to take advantage of ea...
To handle the growing demands of data intensive applications, storage consolidation is becoming an a...
Modern storage environments are composed of a variety of devices with different performance characte...
© 2018 IEEE. Cache partitioning is now available in commercial hardware. In theory, software can lev...
Web applications employ key-value stores to cache the data that is most commonly accessed. The cache...
Cache partitioning and sharing is critical to the effective utilization of multicore processors. How...
Abstract. I/O intensive applications have posed great challenges to computational scientists. A majo...
Our thesis is that operating systems should manage the on-chip shared caches of multicore processors...
This paper proposes a dynamic cache partitioning method for simultaneous multithreading systems. We ...
Cache partitioning has been proposed as an interesting alternative to traditional eviction policies ...
Abstract—Most computer systems currently consist of DRAM as main memory and hard disk drives (HDDs) ...
Computing workloads often contain a mix of interactive, latency-sensitive foreground applications an...
Multi-core computers are infamous for being hard to use in time-critical systems due to execution-ti...
Memory (cache, DRAM, and disk) is in charge of providing data and instructions to a computer\u27s pr...
Contention for shared cache resources has been recognized as a major bottleneck for multicores—espec...
More and more parallel applications are running in a distributed environment to take advantage of ea...