Add to ORKGAt the heart of any con guration or capacity planning algorithm for storage systems, there lies a "what if" question: given a device and a set of workloads accessing data on the device, will the quality ofservice requirement for each workload be satisfied? This is, in general, a hard question to answer because of the complexity ofworkloads in real life. In this paper, we consider QoS bounds on the 95th percentile of response time and demonstrate an approximate method to verify that the QoS requirement is satisfied for a complex and fairly general set of workloads, including workloads with phasing (on/off behavior) and correlations with other workloads
Motivated by the desire to shift workload during periods of overload, we extend established square-r...
In this paper, we consider multimedia Quality-of-Service (QoS) in resource constrained embedded syst...
In this paper, we describe an adaptive QOS mapping scheme where the QOS parameters of applications a...
To handle the growing demands of data intensive applications, storage consolidation is becoming an a...
Increasing the number of available sources of information may impair or facilitate performance, depe...
Continuous media (CM) applications require Quality of Service (QoS) guarantees from the disk, as wel...
Meeting service level objectives (SLOs) for tail latency is an important and challenging open proble...
Storage virtualization in modern storage systems allows variability in the number of “physical ” dis...
Real-time applications often have mixed hard and soft deadlines, can be preempted subject to the cos...
NoAbstract: Internet of Things (IoT) aims to enable the interconnection of a large number of smart ...
As we enter the era of CMP platforms with multiple threads/cores on the die, the diversity of the si...
Capacity management approaches optimize component utilization from a strong technical perspective. I...
The increasing popularity of storage and server con-solidation introduces new challenges for resourc...
In distributed high-performance computing storage systems, contention is a problem that usually occu...
Virtual Machine (VM) consolidation in the cloud has received significant research interest. A large ...
Motivated by the desire to shift workload during periods of overload, we extend established square-r...
In this paper, we consider multimedia Quality-of-Service (QoS) in resource constrained embedded syst...
In this paper, we describe an adaptive QOS mapping scheme where the QOS parameters of applications a...
To handle the growing demands of data intensive applications, storage consolidation is becoming an a...
Increasing the number of available sources of information may impair or facilitate performance, depe...
Continuous media (CM) applications require Quality of Service (QoS) guarantees from the disk, as wel...
Meeting service level objectives (SLOs) for tail latency is an important and challenging open proble...
Storage virtualization in modern storage systems allows variability in the number of “physical ” dis...
Real-time applications often have mixed hard and soft deadlines, can be preempted subject to the cos...
NoAbstract: Internet of Things (IoT) aims to enable the interconnection of a large number of smart ...
As we enter the era of CMP platforms with multiple threads/cores on the die, the diversity of the si...
Capacity management approaches optimize component utilization from a strong technical perspective. I...
The increasing popularity of storage and server con-solidation introduces new challenges for resourc...
In distributed high-performance computing storage systems, contention is a problem that usually occu...
Virtual Machine (VM) consolidation in the cloud has received significant research interest. A large ...
Motivated by the desire to shift workload during periods of overload, we extend established square-r...
In this paper, we consider multimedia Quality-of-Service (QoS) in resource constrained embedded syst...
In this paper, we describe an adaptive QOS mapping scheme where the QOS parameters of applications a...