Multicore processors are being extensively used by real-time systems, mainly because of
their demand for increased computing power. However, multicore processors have shared …

User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

As much of the world's computing continues to move into the cloud, the overprovisioning of
computing resources to ensure the performance isolation of latency-sensitive tasks, such as …

Ensuring the quality of service (QoS) for latency-sensitive applications while allowing co-
locations of multiple applications on servers is critical for improving server utilization and …

Many multi-core processors employ a large last-level cache (LLC) shared among the
multiple cores. Past research has demonstrated that sharing-oblivious cache management …

Over the last decade, addressing quality of service (QoS) in multi-core server platforms has
been growing research topic. QoS techniques have been proposed to address the shared …

Chip-multiprocessors (CMPs) must often execute workload mixes with different performance
requirements. On one hand, user-facing, latency-critical applications (eg, web search) need …

Driven by the wide adoption of deep neural networks (DNNs) across different application
domains, multi-tenancy execution, where multiple DNNs are deployed simultaneously on …

In this paper we study the impact of sharing memory resources on five Google datacenter
applications: a web search engine, bigtable, content analyzer, image stitching, and protocol …

Computing workloads often contain a mix of interactive, latency-sensitive foreground
applications and recurring background computations. To guarantee responsiveness …