1. Cloud Operating System Unit 15 Cloud Resource Management M. C. Chiang Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung, Taiwan, ROC Cloud Operating System

2. Outline  What are resources?  Resources Requesting/Managing  SOAP  REST  Load Balancing  Auto-scaling  Shared-Nothing Architecture  Scheduling Crosses Nodes  Network Management 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-2

3. What Are Resources  Everything in a host  CPU  Memory  Disk storage  Network Bandwidth  Resources should be distributed to instances/users not only fairly, but also properly 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-3

4. Resources Requesting/Managing – URI  Uniform Resource Identifier  URL is a type of URI, used for representing resources on internet.  URI can represent more types of resource, including local resources.  Need a standard for parsing the data in a page/resource 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-4

5. Resources Requesting/Managing – Data  For web services, standardizing information exchanging helps simplifying communications between services.  In 1998, Microsoft and UserLand Software created the XML-RPC protocol, and supported by other companies.  SOAP is based on XML-RPC, with more flexibility, and become the part of W3C standard in 2000  JSON is another protocol describing data by using JavaScript 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-5

6. Resources Requesting/Managing – REST  REpresentational State Transfer  It’s an architectural style, not a protocol  Essence of the way the Web already works  For example: http://example.com/resources represents a collection of resources. And a HTTP GET operation means “list” the resources. http://example.com/resources/item17 represent a resource in collection. HTTP GET means “retrieve” the resource. 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-6

7. Resources Requesting/Managing – REST ResourceGETPUTPOSTDELETE Collection URI, such as http://example.co m/resources/ List the URIs and perhaps other details of the collection's members. Replace the entire collection with another collection. Create a new entry in the collection. The new entry's URL is assigned automatically and is usually returned by the operation. Delete the entire collection. Element URI, such as http://example.co m/resources/item 17 Retrieve a representation of the addressed member of the collection, expressed in an appropriate Internet media type. Replace the addressed member of the collection, or if it doesn't exist, create it. Treat the addressed member as a collection in its own right and create a new entry in it. Delete the addressed member of the collection. 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-7

8. Resources Requesting/Managing – REST  OpenStack, AWS all support RESTful API  Example for OpenStack  POST http://localhost/v1/AUTH_admin/mycontainerhttp://localhost/v1/AUTH_admin/mycontainer Create a container “mycontainer”  PUT file1 http://localhost/v1/AUTH_admin/mycontainer/http://localhost/v1/AUTH_admin/mycontainer/ Upload a file “file1” to “mycontainer”  GET http://localhost/v1/AUTH_admin/mycontainer/?prefix=fihttp://localhost/v1/AUTH_admin/mycontainer/?prefix=fi List files in “mycontainer” with prefix fi  GET http://localhost/v1/AUTH_admin/mycontainer/file1http://localhost/v1/AUTH_admin/mycontainer/file1 Download the file “file1”  The RESTful way makes better and scalable interface for a system 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-8

9. Resources Requesting/Managing - SOAP  Simple Object Access Protocol  It’s a protocol, not a style like REST  No new inventions involved  Use XML for describing the content  Can be used over any transport protocol such as HTTP, SMTP, or raw TCP 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-9

10. Resources Requesting/Managing - SOAP  A SOAP message components:  SOAP envelope The wrapper  SOAP body Application-specific message. The client/server can interpret it by their specific way 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-10

11. Resources Requesting/Managing - SOAP 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-11  A price request from client: 1. <SOAP-ENV:Envelope 2. xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" 3. SOAP-ENV:encodingStyle="http://schemas.xmlsoap.org/soap/encoding/"> 4. 5. 6. 7. 8. Apple 9. 10. 11.  encodingStyle in line 3 is the attribute of envelop describes how the message encoded  Line 5 to 7 is the message wraps the application-specific information  It’s a call to “GetLastTradePrice” request for server in line 5

12. Resources Requesting/Managing - SOAP  Response from server: 1. <SOAP-ENV:Envelope 2. xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" 3. SOAP-ENV:encodingStyle="http://schemas.xmlsoap.org/soap/encoding/"> 4. 5. 6. 34.5 7. 8. 9.  As we can see in Line 5 it’s a “GetLastTradePriceResponse”  And in Line 6 the “Price” is 34.5 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-12

13. Resources Requesting/Managing - SOAP  A run-instance SOAP request body example in AWS EC2: 1. 2. 3. 4. ami-60a54009 5. 1 6. 3 7. 8. 9. 10.  AWS EC2 service will parse the request, and get the variables respective, and execute the RunInstances request 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-13

14. Resource Requesting/Managing  With the RESTful API and SOAP, we can manipulate the resource on the Cloud Computing through Web Service.  After all, Web Service is the final product of Cloud Computing for the end-users. 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-14

15. Load Balancing  Load balancing is very important in resource management  Another “As a Service” in many cloud provider  AWS Elastic Load Balancing (ELB)  Rackspace Cloud Load Balancing  Project Atlas of OpenStack as a pluggable module 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-15

16. Load Balancing  Load balancing balances not only network bandwidth, but also system loading  Also monitoring the health of instances  If a instance is unhealthy, the balancer should stop sharing the load with the instance.  Session Persistence  Connections should be bound to the same node in a connection session For some local data and performance 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-16

17. Auto-scaling  The most important feature of Cloud Computing  On-demand self-service  Work with load balancer  Must get loading information to determine when to scale.  Easy with virtualization  You can’t install a new physical machine automatically.  Scale up for more computing power, and scale down for saving money 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-17

18. Auto-scaling – Issues  Synchronizing between nodes  Also an issue in load-balancing  Scales too large  Needs to set the budget constraints That is “Measured service”  Hard to scale down for database  With shared-nothing architecture, it’s hard to join the data sets from different hosts back when shutting down nodes. 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-18

19. Shared-nothing Architecture  Sharing no memories and disks between nodes  Each node is self-sufficient  Independency  No “Single Point of Failure” What will happen if an NFS server shared by 10 hosts for storage, and the server crashes?  More easily for scaling than shared- disc/memory 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-19

20. SN Architecture – Database  Partitioning the table with row, rather than column  Distributes the rows to nodes  Then the queries can be distributed  Google calls it “database shard” 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-20 iddata 1data1 2data2 3data3 4data4 iddata 1data1 2data2 iddata 3data3 4data4

21. Shared-nothing vs. Shared resources Shared-Nothing:  Better availability  Better scalability  Easier to replace the fault device, but complicates maintenance  Need redundant resources Shared resources:  Single Point of Contention problem  Larger resource pool  Centralize management, but leads to longer downtime in maintenance  Complex synchronization and locking design 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-21

22. Scheduling Crosses Nodes  In a normal OS, scheduler schedules processes when to run  In Cloud, when incoming a virtual machine instance request, scheduler is responsible for scheduling which host in which zone the instance should run on  The algorithm can be very simple or very complex  It’s host OS’s responsibility to schedules when VMs running on the host 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-22

23. Scheduling Crosses Nodes – Example  OpenStack nova-scheduler algorithms  Chance The host is chosen randomly  Availability zone The host is chosen randomly from within a specified availability zone  Simple The host whose load is least is chosen. Need load balancer 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-23

24. Scheduling Crosses Nodes – Example  OpenStack nova-scheduler architecture  Using a simple table to maintain instance types (how many memories, etc.) in every host, and use this table to determine how many resources are consumed. It ignores the status updates.  Only one scheduler workers – it leads to “Single Point of Failure”  “Current workload” as a parameter to avoid hammering a heavy-loading host 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-24

25. Scheduling Crosses Nodes  Scheduling is a hot topic in Cloud Computing  In a very large implement (500 hosts with 200 instances each, for example), it will be very critical to reduce the scheduling latency  In OpenStack the schedule algorithm is very simple, but has some architectural problems. Better model is released in newest implementation (April 5) 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-25

26. Network Management  Network is fundamental of accessing Cloud  There is no physical interface for virtual machines. Only vNICs, then bridge to the real NICs  In this model, Linux bridge control only provides basic management. No advanced QoS, ACLs, and monitoring  Simple and flat network topology. May not suit all productions  In OpenStack, the nova-network leads to the Single Point of Failure problem again 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-26

27. Network Management – Virtual Switch  Improved network virtualization  Not only virtualize NICs, but also switches now  Virtual switch as a service layer for management  Virtual switch provides virtual ports for connectivity  Virtual Switch provides the function normal switch should have  Layer 2 management  QoS, port statistics  Enable more complex network topology 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-27

28. Network Management – Virtual Switch  Available implementations  Open vSwitch 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-28

29. Network Management - Example  OpenStack Quantum project  Included in Essex release  Including APIs, publicly available virtual switch implements and other plugins  Support RESTful API quantum.foo.com/tenant-a/network/net-1/port/17 We can get statistic of port 17 in net-1 of tenant-a  Through Quantum the network service can be more easily to be measured Network-as-a-Service 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-29

30. Summary  SOAP provides a standard method for exchanging data  REST architecture describes a more general method to manage resources  Load balancing not only can balance the resource, but also can be used for failover  Virtualization makes auto-scaling easy and possible 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-30

31. Summary  Shared-nothing is mainstream in Cloud, since it has higher availability and scalability  Scheduling in Cloud schedules on which host the new virtual machine should be created  As process scheduling is latency-critical in OS, VM scheduling is latency-critical in Cloud as well  Improved network virtualization will be next step in Cloud, enables more capabilities 9/3/2015 Cloud Operating System - Unit 15: Cloud Resource Management 1 U15-31