2.5 Security The FreeBSD security model has been developed over 40 years of evolving application needs. The key insight is that security must be part of system design; it cannot be successfully added later. The model addresses many different goals:Support authenticated local and remote access by multiple users, as well as integration with distributed authentication and directory servicesAllow us..

Chap19. Controllers - 쿠버네티스는 여러 SW들의 집합체 * Controllers - take care of routine tasks to ensure the desired state (얌파일) of the cluster matches the observed state (현상태) - Each controller is responsible for a particular resource in the Kubernetes - 사람이 개입하는 일이 줄어듦 - 직접 손으로 입력하지 않아도, 수많은 쿠버네티스를 구성하는 SW들이 개발자가 요구하는 환경(desired state)을 observed state로 최대한 제공해야 함 / 개발자는 쿠버네티스에게 부탁함  * Label – key-value p..

Chap12. Private Multi-Node Docker / Docker in docker - Docker in docker – DinD - official but not recommended (권장 X) - 도커 안에서 다시 도커를 띄울 수 있도록 한다 + 경고가 정말 많다.     Chap13. Docker Swarm 1- 수천 수만대의 컴퓨터에서 SW 돌리기 위한 궁극적인 방법, 도커 스웜 (like 쿠버네티스) - SWARM – 떼, 구성 요소는 여러 개지만, 하나의 논리적인 군 (도커 스웜은 컨테이너들의 군) - 일일이 다 타이핑? 불가능 / 자동화된 도커 스웜 등장 -> 더 편하게 수많은 이미지와 컨테이너 컨트롤 가능- 얌파일을 커맨드라인을 통해 일꾼들에게 쫙 뿌림 – 개발자 관점 - 도커..

HEAM: Hashed Embedding Acceleration Using Processing-In-Memory https://arxiv.org/abs/2402.04032 HEAM : Hashed Embedding Acceleration using Processing-In-MemoryIn today's data centers, personalized recommendation systems face challenges such as the need for large memory capacity and high bandwidth, especially when performing embedding operations. Previous approaches have relied on DIMM-based near..

https://www.youtube.com/watch?v=PH-2FfFD2PU     # 강의 재생목록 https://youtube.com/playlist?list=PL7bmigfV0EqQw4WnD0wF-SRBYttCFeBbF&feature=shared Lightboards - Intro to Kubernetes www.youtube.comhttps://youtube.com/playlist?list=PL7bmigfV0EqQt5_pBPQ8tsZjI1w68-e0H&feature=shared Lightboards - Intro to Containers www.youtube.com     # 마이크로서비스 아키텍처https://learn.microsoft.com/ko-kr/azure/architecture/gu..

2024. 05. 27 Monday https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/ ReplicaSetA ReplicaSet's purpose is to maintain a stable set of replica Pods running at any given time. Usually, you define a Deployment and let that Deployment manage ReplicaSets automatically.kubernetes.io     # simple-pod.yamlapiVersion: v1kind: Podmetadata: name: my-little-podspec: containers: - name..

2024. 05. 22https://kubernetes.io/docs/concepts/architecture/nodes/ NodesKubernetes runs your workload by placing containers into Pods to run on Nodes. A node may be a virtual or physical machine, depending on the cluster. Each node is managed by the control plane and contains the services necessary to run Pods. Typically you hkubernetes.io   # minikube 설치 by brew 🍻https://minikube.sigs.k8s.io/..

Processing-in-memory: A workload-driven perspective (IBM, 2019) https://ieeexplore.ieee.org/document/8792187 Processing-in-memory: A workload-driven perspectiveMany modern and emerging applications must process increasingly large volumes of data. Unfortunately, prevalent computing paradigms are not designed to efficiently handle such large-scale data: The energy and performance costs to move thi..

2024. 05. 17. FridayBenchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory SystemMany modern workloads, such as neural networks, databases, and graph processing, are fundamentally memory-bound. For such workloads, the data movement between main memory ..