innova- tive edge computing solution, SmartEdge, addresses the increasing need to gather data in real time and perform analysis at the point of collection, supplying imme- diate insight which results in faster as battlefields. The an- alytics enabled and performed by Smart- Edge allow battalions to make real-time, data-driven decisions which dramatically improve operational outcomes and in- crease the probability battlefield, “At the tactical edge, time is a weapon. With edge computing and pro- cessing at the point of data collection, we will give warfighters access to real-time, data-driven insights so they can

which can represent user experience. SLO is the object that try to meets all SLIs in a period of time. SLA = SLO + Punishment. SLA/SLO/SLI What we concern about Large k8s Cluster What happened about unhealthy nodes may not be delivered in time, success rate would decrease consequently. 4. Centralized Components Availability A ratio value indicates the time in which the cluster is available. It is master components. The success standard and reason classification The success standard: Pod Feature Time limit Success condition Pod RestartPolicy=Always 1min (example value) the status of {.Status.Conditions

LogHub Real-time Data Stream �� Visualization QuickBI DataV Log Service / Dashboard ��� Stream Processing SparkStreaming Function Compute Hadoop HIVE Big Data Analytics Batch Processing Pig PAI

Scheduler Framework》 The IEEE ISPA 2018 (16th IEEE International Symposium on Parallel and Distributed Processing with Applications) 能力扩展：GPU支持 资源-访问代价树 四类通信方式分类中，通信开销最大的是SOC，其次是PXB，再次是PHB，PIX通信方式 的GPU之间的通信开销最小。 Performance. GaiaGPU应当保证vGPU的性能与原生GPU性能相近。 Isolation. GaiaGPU可以有效的分配和回收每个容器使用的GPU资源并实现不同容器间的资源隔离。 Native_time (seconds) GaiaGPU_ti me (seconds) Difference (%) Tensorflow 47.82 47.88 0.13 Caffe Container Clouds》 The IEEE ISPA 2018 (16th IEEE International Symposium on Parallel and Distributed Processing with Applications) 生态 Next Tencent Kubernetes Engine

Registry Private Zone ENI Pod 使用场景 Use cases • Multimedia processing • IoT sensor messages processing • Stream processing at scale • Chat bots • Batch jobs or scheduled tasks • HTTP REST

Istio Apache Beam TensorFlow Service Communication Management Container Orchestration Data Processing Pipelines Data Flow Graphs for Machine Intelligence Kubernetes Contributors opensource.google

二是更注重软硬协同，优化性能。在算力多样化、节点高密化、载 体细粒度化等诉求下，底层硬件在云计算的驱动下也因云而变。2022 年 6 月，阿里云发布 CIPU（Cloud infrastructure Processing Units，云 基础设施处理器），其是一套全新的计算架构体系，能够在通用计算、 大数据、人工智能等场景中展现更好的性能。2022 年 12 月，AWS 云计算白皮书（2023 年）

spec: volumes: - name: host-time hostPath: path: "/etc/localtime" volumeMounts: - name: host-time mountPath: "/etc/localtime" volumes: - name: host-time hostPath: path: "/etc/localtime" volumeMounts: //注意有多个！ - name: host-time mountPath: "/etc/localtime" volumes: - name: host-time hostPath: path: "/etc/localtime" volumeMounts: //注意有 5 处 - name: host-time mountPath: "/etc/localtime"

configurations, API keys, and other small bits of information needed by applications at build or run time Why protect secrets? ● Attractive target ○ Controls access or use of sensitive resources ● Common compromised ○ Time available for attempts to penetrate physical, procedural, and logical access ○ Time available for computationally intensive cryptanalytic attacks ● A cryptoperiod is the time during which for keys that have reached the end of their cryptoperiod (for example, after a defined period of time has passed and/or after a certain amount of cipher-text has been produced by a given key) https://www

mode • Services are organized in hash table • IPVS DNAT • conntrack/iptables SNAT • Pros • O(1) time complexity in control/data plane • Stably runs for two decades • Support rich scheduling algorithm differ • Performance of a cluster in different time slot may differ • Due to CPU oversold • Suggestion: • Run the test against the same cluster during near time • Make CPU the bottleneck • 1 CPU handles