One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …

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 …

Contention for shared resources on multicore processors remains an unsolved problem in
existing systems despite significant research efforts dedicated to this problem in the past …

Cores in a chip-multiprocessor (CMP) system share multiple hardware resources in the
memory subsystem. If resource sharing is unfair, some applications can be delayed …

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 …

Network Function Virtualization is allowing carriers to replace dedicated middleboxes with
Network Functions (NFs) consolidated on shared servers, but the question of how (and even …

Latency-critical applications suffer from both average performance degradation and reduced
completion time predictability when collocated with batch tasks. Such variation forces the …

Applications running concurrently on a multicore system interfere with each other at the main
memory. This interference can slow down different applications differently. Accurately …

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 …

Contention for shared resources on multicore processors remains an unsolved problem in
existing systems despite significant research efforts dedicated to this problem in the past …