From 179cc633a69f3ae728094446ec49759a66437794 Mon Sep 17 00:00:00 2001 From: Ryan Date: Sat, 28 Dec 2024 11:47:25 +0800 Subject: [PATCH] add 3 of them --- 1-1-intro.md | 243 ++++++++++++++ 1-2-sla-virtualization.md | 307 ++++++++++++++++++ 1-3-economy.md | 132 ++++++++ ...-2-microsoft-virtualization-technology.png | Bin 0 -> 173131 bytes assets/1-2-xen.png | Bin 0 -> 126138 bytes 5 files changed, 682 insertions(+) create mode 100644 1-1-intro.md create mode 100644 1-2-sla-virtualization.md create mode 100644 1-3-economy.md create mode 100644 assets/1-2-microsoft-virtualization-technology.png create mode 100644 assets/1-2-xen.png diff --git a/1-1-intro.md b/1-1-intro.md new file mode 100644 index 0000000..09c18fa --- /dev/null +++ b/1-1-intro.md @@ -0,0 +1,243 @@ +# Introduction to cloud programming + +## Client server architecture + +- Definition: Clients make request to server for a resource, and the server + running server software make the resource available, though a response. + - It is based on **Request/Response** mechanism. +- Client: Request resources +- Server: Provide resource + +## Distributed System + +- Definition: Consists of hardware, software, and data components located at + networked computers, which communicate and coordinate their actions using + **protocols** and **passing messages**. +- Distributed Computing: specialized field in cs, dedicated to the study of + distributed systems. +- **Advantages**: + - **Modularity** + - **Speed** up computation and data processing + - Ease of tracking **failure** + +### Characteristics + +- Concurrency: multiple components working on different parts of the same task + at the same time +- No global clock for time system, use ntp to solve the problem. +- Autonomous computational entities: failure is **independent**, and is loosely + coupled +- Communicate by passing messages + +### Parallel computing vs. Distributed computing + +- Parallel computing: many executions are carried out at the same time. + - Done by dividing large problem into smaller parts that are carried out by + different components at the same time + - Use **shared** memory, and exchanges information between processors. + - To speed up computation or execution +- Differences: + - Parallel computing: + - Sharing: system whose processors use **shared memory** to run + processes + - Strongly coupled and has resource contention + - Distributed computing: + - Sharing:have their own individual memory but communicate by passing + **messages** among the nodes and processors. + - Loosely coupled, and distributed + +### Examples + +- Internet +- Intranets +- Grid computing +- Peer to peer (p2p) computing +- Cloud computing + +### Architectures + +#### Client-server + +- 2-tier architecture + - Server and clients: one server and many clients + - Server has storage, database and run the application +- 3-tier architecture + - The three tiers: + - Presentation layer: User interface, runs **web server** + - Business logic or application layer: functions are implemented, runs + **dynamic content processing and generation** software + - Data layer: data management, runs **database management system**(DBMS) +- Thin and flat client + - Thin: client is only the **presentation**, all processing and data storage + are provided by server + - Heavy lifting is done on server and network + - Fat: processing is delegated to the client, foe example **application + processing** + - Process may be done **both** at client and server + - **Balanced** distribution of processing + +### Peer to peer systems + +- Definition: consists of nodes of computers that perform **both** client and + server functionalities and capabilities + - **Client** oriented: Peer machines are client computers that is connected + to internet + - Peer machines **autonomously** join or leave network, no master-slave + relationship: **no** **central** coordination, and **no** **global** view + +### Flynn's taxonomy + +- Definition: 4 classifications for computer architectures +- SISD: Single Instruction Single Data Stream + - Serial computer, no parallelism +- SIMD: Single Instruction Multiple Data Streams + - Some parallelism +- MISD: Multiple Instruction Single Data Stream + - Not popular in practice +- MIMD: Multiple Instruction Multiple Data Streams + - True palallel computation, most widely used + - Multiple independent processors executing different instructions on + different data streams + - Majority of distributed system use MIMD + - Basis of supercomputer architectures + +## Cloud Computing + +### History of Cloud computing + +- Started as a concept of "Utility Computing", which you can use as public + utility. +- Grid Computing: + - Started the concept, in 1995 to mimic the electricity grid that provides + electric as a utility on demand basis + - Large scale distributed systems: + - Collection of resources from distributed locations + - General purpose middleware + - Interacts with heterogeneous systems +- The above gave birth to cloud computing + + +### Definition + +- A computing infrastructure, that consists of shared pool of **virtualized** + hardware, software and data that are **provided** as a **services**, which + scales on the demand +- A form of **distributed** computing, that enables computational resources to + be provided as a service +- Infrastructure as software + +### Features: + +- Enabled by **internet** +- Use middle-ware to connect systems +- Utility based: + - Don't own or maintain the resources, but subscribe +- Usage on **demand** +- Elastic, can scale up and down +- **Service Oriented Architecture** +- Cheaper and save time + +### Architecture + +- Front end +- Cloud based delivery +- Back end + +## Cloud Deployment Models + +### Public Cloud + +- Advantages: + - Flexible + - Reliable + - Highly **scalable** + - Low cost + - Place independence +- Disadvantages: + - Less secures + - Not **customizable** + +### Private cloud +- Advantages: + - Highly **private** and **secured** + - More **control** +- Disadvantages: + - Poor scalability + - Scaled within hosted resources + - Costly: + - secured + - More features + - Inflexible pricing + - Restriction, hard to expose globally + +## Cloud Service Models + +- Common: + - SaaS: Software as a service: least control + - PaaS: Platform as a service + - IaaS: Infrastructure as a service: most control +- Incommon: + - DBaaS: database + - Naas: network + - SECaaS: Security + - DaaS: Desktop + +## Technologies for cloud computing + +- Internet + - web service +- Virtualization technologies +- Data center +- Networking +- Security +- Physical hardware + +## Services: + +- Amazon web services: AWS +- Microsoft Azure +- Google Cloud +- Alibaba Cloud +- Tencent Cloud +- Baidu Cloud +- IBM Cloud +- Oracle Cloud +- https://salesforce.com + +## Applications and Job opportunities + +### Jobs + +- Big Data and Data analytics +- E-Commerce +- Computationally and data intensive applications +- AI +- IoT +- Software Development + +### AWS Certification Exam + +- Professional: 2 years +- Associate: 1 year +- Foundational 6 month +- Speciality: Technical experience + +### MS Exam + +- Expert +- Associate +- Fundamental +- Speciality + +### Google Cloud Certification Exams + +- Data Engineer +- CLoud Architect +- Cloud Developer +- CLoud devops Engineer +- Cloud Security Engineer +- Collaboration engineer +- Cloud network engineer +- Cloud engineer +- G suite +- Hybrid multi-cloud diff --git a/1-2-sla-virtualization.md b/1-2-sla-virtualization.md new file mode 100644 index 0000000..b651158 --- /dev/null +++ b/1-2-sla-virtualization.md @@ -0,0 +1,307 @@ +# SLA and Virtualization + +## SLA + +### Definition + +- Service Level Agreement: a service-based legal agreement between a + **provider** and a **subscriber** +- Accepted before a cloud service can be used +- Content + - Provider's responsibility + - Subscriber's responsibility, and entitlements + - Billing and accounting system + +### Types + +- Service based SLA: + - Offer shared resources, used by many customers + - Offered to cloud users +- Customer based SLA + - Agreement between individual customer or group, to provide non-shared + **specific** services +- Multi-level SLA: + - Corporate level: generic and cover all user of an organization + - Customer level: specific group of user + - Service: specific type of service + +### Boundaries + +- Organizational boundary + - Physical perimeter, owned and governed by organization or cloud provider +- Trust boundary + - When cloud user extend trust beyond its physical boundary, and include + resources from the cloud + +### Characteristics of cloud + +- On-demand usage: use more cloud resources only when they need it +- Multi-tenancy aka. Resource pooling: Resources are **instances** that can be + used by many users +- Scalability: Able to automatically scale up or down based on the settings and + agreements +- Ubiquitous access: Can be accessed everywhere with lots of devices +- Measured usage: keep track and record the amount of IT resources used by + consumers + - Used for accounting and auditing +- Resilience: distribute and replicate resources to provide redundancy, and fail + over mechanism + +### QoS + +- SLA is based on **Quality of Service** +- Combination of metrics relating to requirements, and satisfaction of services + offered by a provider. +- Quantitative or qualitative +- Parameters: + - **Reliability** availability + - **Security** and trust + - **Scalability** + - **Data** integrity and data protection + - **Resilience** + - Data **recovery** time + - Support + +## Virtualization + +### Definition + +- The process of creating the **virtual** version of hardware, database, + operating system and application from real copies, using virtual machine + **monitor** to emulate the physical functionalities. +- Multiple virtual machines are **multiplexed** in to the same hardware, to + serve as an abstraction of physical OS +- Guest OS is not bound to the physical hardware. +- **Guest** OS runs on **host** OS, and they can be different + +### Levels of virtualization + +- Instruction Set Architecture level: ISA **emulation**, which is used to run + many legacy codes written for a different hardware configuration, like + _Dynamo_ +- Hardware level: VMs are located directly on top of **hardware**, allows the + virtualization of each of the hardware components, which could be the + input-output device, the memory, the processor, etc, like _VMWare_ +- Operating system level: an operating system (OS) virtualization paradigm in + which the kernel allows the existence of multiple isolated user space + instances, like _Jails_ +- Library level: translate API calls to user libraries, like _vCUDA_ +- Application level: allows high-level language programs to be compiled easily. + java's _jvm_ + +### Types of Virtualizations + +- Desktop: Create desktop computer from physical desktop machine +- Hardware: Virtual computer with OS that represents and act as a real physical + computer. +- Nested virtualization: Virtual machine inside another one +- CPU virtualization: Virtual CPU are created to reduce stress on host +- Memory virtualization: virtual memory is created and run on the VM, controlled + by the virtual CPU of VM, but can't access memory address outside virtual +- IO virtualization: Route IO request between virtual devices and physical + hardware + +### Virtual clusters + +- Physical cluster: interconnected by physical network + - Failure may cause a falling physical node +- Virtual cluster: VMs intereconnected by a virtual network across several + physical networks + - Node can be either physical or virtual + - Cluster VMs can run different OS + - To enhance **utilization** and **flexibility** + - Can be freely replicated, and is **fault** tolerant easy to recover + - Nodes can grow or shrink + - Failure won't cause shutdown to host machine + +### Migration of VM + +#### Introduction + +- VM can be moved from one cluster to another, which **isn't possible** with + physical hosts. +- Four ways: + - Guest-based manager, where cluster manager is in guest vm + - Host based manager: supervises the guest system, and can restart guest + system remotely + - Independent cluster manager on both host and guest + - Use integrated cluster manager + +#### Six (five) steps of VM migration + +- Start migration (for some reason this is counted as step 0 and 1???) + - Determine VM to migrate + - Determine destination host +- Transfer memory + - State is stored in memory, so transfer memory first +- Suspend VM and copy remaining data + - Execution is suspended when last memory is transfered. + - Non memory components like network and cpu are sent to destination +- Commit + - After all data, VM reloads and continue execution +- Activate + - Network is redirected to new VM + - remove the original VM from source host + +### Mechanism for cloud infra: building blocks + +- Environment: + - Logical network perimeter: Virtual network boundary, encompass and isolate + a group of resources, that may be **physically** distributed., to _isolate + cloud resource from unauthorized users_ + - Virtual Server: behaves exactly like a physical one, and running on the + same physical server which is shared by multiple cloud users + - Resource replication: create multiple of same resource to various + locations, physically distributed around the world. + - Ready made environment: provided by PaaS (platform as a service) + - Failover system: use clustering to provide redundancy + - Hypervisor: generate virtual server instances + - Multi device broker: converts and exchanges information + - Resource cluster: cloud resources are geographically distributed and group + resources and instances together + - State management database, used to temporarily maintain state data for + software programs to improve performance. +- Scaling + - Automated Scaling listener: monitors communication between consumers and + services for dynamic scaling up or down. + - Load balancer: cloud runtime mechanism that distributes workload: data + processing, computation, network traffic across two or more cloud + resources, for better performance( automated horizontal scaling) +- Monitoring + - Cloud usage monitor: Autonomous software used for collecting and + processing cloud resource usage data. + - SLA monitor: monitors the performance to ensure they are fulfilling the + Quality of Service requirement + - Pay per use monitor: monitor the usage and calculate the price according + to the agreement + - Audit monitor: track data for network, to confirm to regulatory obligation + +### Different hypervisors + +#### Microsoft virtualization technology + +- parent partition: logical hard drive for running hypervisor layer, and nesting + child partitions +- Child partitions: Logical hard drive responsible for running isolated OSes +- Virtualization stack Collections of resources including the hypervisor, which + makes up the Microsoft hyper V +- Virtualization service provider: parent partition side, server that handles IO +- Virtualization child provider: child partition component, that sends request + to VSP +- VMBus: send requests and data between VMs +- WMI: Windows management instrumentation, manages virtual devices +- Windows kernel: manages IO request from parent and child +- IHV: hardware drivers +- VM worker process: run and configure one VM each +- Hypervisor + - Manages a minimum set of **hardware** components + - **Isolate** component, to enhance **loose coupling** + - Provide **security** + - Enhance **performance** +- [Image](./assets/1-2-microsoft-virtualization-technology.png) + +#### Xen Virtualization Technology + +- [Image](./assets/1-2-xen.png) +- Host Hardware: real hardware +- Xen Hypervisor: lean software layer, that runs on **host hardware** and + manages the **CPUs, memory, IO devices** +- Guest Domains / Virtual Machines +- Control Domain, or domain 0: special virtual machine with privilege to access, + and handles IO functions and VM's interactions +- Toolstack: control stack on domain **0**, enables user to manage **virtual** + machines + +### Virtualization Technologies + +- host components: real hardware +- guest components: virtual system created from host machine, includes os, + network, databases and servers +- Hypervisor, or virtual machine manager: manages virtual machines +- Networking technologies +- Web services: manager over the internet +- Front end systems: interface between user and virtual machine + +### Advantages and challenges + +#### Advantages: + +- Deployment: + - Less **cost**, reduction in cost of hardware, energy, cooling , expertise + and administration + - Less time needed + - Creating servers on different system is **easy** +- Maintainence: + - **Scalability** + - **Efficiency** + - **Reliability** + - Fast data disaster **recovery** + - Backups and migrations are **easy** + +#### Challenges + +- **Security** of virtual machines +- Need **expertise** to manage virtual machines +- **Reliant** back up systems are needed +- Failures of **host** will affect the guest system. +- **Performance** may not be as good as using physical ones + +### Future of Virtualization + +- Is and will be the **dominant** component of cloud computing +- Decoupling of application will **increase** +- **Less** energy consumption by optimizing OS and VMM +- **Dominant** in IT market +- Even more **scalable** +- Better **security** + +### Major classes of hardware virtualization + +#### Full virtualization, Hardware virtual machine + +- Complete simulation of actual hardware, so that OS and software doesn't need + any modifications. +- AWS Support + - HVM AMI (Amazon Machine Images), in a fully virtualized environment + - Can run OS without modification + - HW extension is support + - Instance type support: all current + - Regioin: all + +#### Paravirtualization + +- Allows guest applications to be executed, as if they are running on a separate + system, but hard ware environment is not simulated +- Guest need to be modified +- AWS Support + - PV AMI: special bootloader is used + - Can run on host hardware without explicit support for virtualization + - Hardware extention is not supported + - Some instance types are supported + - Some regions are supported + +### Layering and Virtualization + +#### Layering + +- Definition: approach to manage system complexity +- Goals: + - Simplify description of subsystem, to **abstract through interface** + - Minimize interaction between subsystems + - Enable us to independently manage each subsystem +- Layering in computers: + - Hardware + - Software + - OS + - Library + - Applications + +#### Interfaces in virtualization + +- ISA (Instruction Set Architecture): Instruction Set Architecture: boundary + between hardware and software +- ABI (Application Binary Interface): Allow application and library modules to + access hardware, invokes **system calls** +- API (Application Program Interface): Is a set of rules or protocols that + enables software applications to communicate with **each other** to exchange + data, features and functionality diff --git a/1-3-economy.md b/1-3-economy.md new file mode 100644 index 0000000..2eec4da --- /dev/null +++ b/1-3-economy.md @@ -0,0 +1,132 @@ +# The economics of cloud computing + +## Cloud Computing Service Model (Not important) + +### Service oriented Technology + +- Properties + - Logical view: abstraction of actual processes + - Message orientation: uses message to communicate + - Description orientation: described by machine executable metadata + - Granularity: use small operation, in order to perform complex tasks + - Network orientation: offered through networks + - Platform neutrality: standardized format +- Examples: SaaS, PaaS, IaaS + +### Objectives: + +- Shift computing, thus management and maintainence +- High QoS +- Transparent, and generic standards to boost acceptability + +## Economic models + +### Traditional cost model + +- Upfront capital costs (CAPEX, capital expenditure): money spent at the beginning of business to get the + equipment +- Variable cost (OPEX, Operational expenditure): operational cost +- Calculation: + - Upfront capital costs + Variable costs + +### Cloud cost model + +- Calculation + - Variable costs (no upfront cost) + - Traditional IT cost minus the upfront capital costs (This sounds stupid + and absurd, I hope the profs are not going to make a quiz on this) +- Optimizing + - AWS Trusted Advisor: online service, that helps suggesting ways to + optimize costs + - Calculators: + - TCO: Total cost of ownership calculator, estimate the cost savings + when using AWS, compared to traditional IT systems + - Simple Monthly Calculator: estimate your AWS monthly bills, based on + business requirements + +### Examples + +- Amazon cloud options: + - Reserved: + - Reserved capacity: reserve for 1 to 3 years to get discount + - Reserved instances: + - All-Upfront RI: Pay everything at once to get huge discount + - Partial-Upfront RI: Pay part of the amount and get less savings + - No-Upfront RI: Pay nothing upfront, little saving + - On-demand instance: Pay as you go + - Dedicated instance: run on physical server + - Free: 12 months of free EC2 + +### Motivation for both parties + +#### Subscribers: + +- Cost savings + - Power + - Support, Maintainence + - Software licenses + - Increased profit +- Fancy words + - Innovation + - Productivity + - Competitive advantage + - Elastic +- Development experience + - Automation + - Reliability + - Scalability + +#### Providers + +- Shared resource, no waste +- Location independent +- Variety of customers that can serve + +## Competition + +- Offerings + - Free and educational + - Reserved + - Novelties: glacier file storage +- Assurance + - Risk mitigation + - Reputation + - Size + +## All kinds of models + +### Service delivery + +- Definition: pre-packaged combination of IT resources, offered by cloud + provider as service +- Examples: [previous slide](/1-1-intro.md#cloud-service-models) + +### Deployment + +- Private cloud: on premises cloud +- Public cloud +- Community cloud: infra is shared between several organizations +- Hybrid cloud: public cloud with a private cloud, or on-premises data center + +## Challenges and opportunities: + +### Challenges + +- Demand on features and support +- [Competition](#competition) +- [QoS](/1-2-sla-virtualization.md#qos) +- [SLA](/1-2-sla-virtualization.md#sla) + +### Opportunities + +- Jobs: + - AWS Cloud Practitioner + - AWS Solution Architect + - AWS Developer + - AWS DevOps Engineer + - AWS SysOps Administrator + - AWS Security Expert + - AWS Big Data Expert + - AWS Networking 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