The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., energy consumption). This is a feature of the NSA architecture which requires dropping off of 5G onto 4G, doing a handover on 4G, and then upgrading to 5G again. Energy Consumption. SIGCOMM’20.

Energy 130

Energy Latency Performance Network 130

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. About CXL hardware availability with academia. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. A well-understood root cause of faults that occur in a processor is a high-energy particle, such a neutron or alpha particle. Background A fault is a condition that causes the inability to meet a specification. Each fault has a root cause.

Energy 52

Energy Hardware Best Practices Architecture 52

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40