DEMYSTIFYING THE RELIABILITY OF CLOUD SERVICES. Michael Tortorella, Ph.D. Rutgers University
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1 DEMYSTIFYING THE RELIABILITY OF CLOUD SERVICES Michael Tortorella, Ph.D. Rutgers University
2 THEME Many users are suspicious of cloud services reliability Many service providers are not confident of their risk analyses for cloud services SLAs A consistent, unified approach to cloud services reliability is valuable Tools for service reliability engineering readily apply Slide 2
3 OVERVIEW Some examples of cloud services How should reliability of cloud services be described? Modeling cloud services reliability Cloud services SLA risk analysis Conclusion Slide 3
4 CLOUD SERVICES EXAMPLES File system backup SaaS Remote execution of applications Remote FTP Dropbox -like services Slide 4
5 CLOUD SERVICES RELIABILITY These are on-demand services Accessed via transactions To understand reliability, you need to understand the user requirements Failures are violations of the user requirements Reliability engineering concerns frequency and duration of failures and outages Slide 5
6 CLOUD SERVICES USER REQUIREMENTS Get at my data when I want to And unauthorized access prevented Uninterrupted upload and download Uninterrupted computation Data are secure and uncorrupted Slide 6
7 CLOUD SERVICES RELIABILITY REQUIREMENTS Each user requirement gives rise to one or more reliability requirements How often are the failure modes in the user requirement permitted to occur? For how long are outage conditions permitted to persist? Slide 7
8 CLOUD SERVICES FAILURE MODES Can t access stored data Including executables Interruptions Uploads Downloads Executions Delays Errors Slide 8
9 CLOUD SERVICES FAILURE MECHANISMS Loss of some shared resource(s) Servers WAN LAN Local interfaces CSP goes out of business Slide 9
10 CLOUD SERVICES RELIABILITY: KEY CONCEPT In order to meet the service s requirements, the cloud infrastructure needs to configure itself in specific ways to deliver the service Frequency and duration of cloud service failures/outages is related to the frequency and duration of infrastructure failures/outages Slide 10
11 CLOUD SERVICES RELIABILITY MODELING Make these connections explicit Attach numbers based on understanding of the infrastructure hardware and software SDN, NFV, are merely different technologies enabling cloud services Even virtualization needs a physical and software infrastructure Slide 11
12 EXAMPLE ENTERPRISE DATA BACKUP Service: off-site backup for enterprise data Features Many users Many databases Service provider decides where to store Slide 12
13 EXAMPLE ENTERPRISE DATA BACKUP User requirements Any user may request access to his/her data at any time Any user may request upload or download Interruptions limited Delays limited User facilities must be freed up after session is complete Slide 13
14 EXAMPLE ENTERPRISE DATA BACKUP Reliability requirements examples Accessibility + Probability that a user is able to access his/her data at any time is Probability that a user can access data he/she is not authorized to is Continuity + Probability that a download or upload is interrupted is Release + Probability that the service provider does not free up the user s facilities is Slide 14
15 EXAMPLE ENTERPRISE DATA BACKUP Reliability requirements could be aggregated Requirement for an entire group of users rather than by individual user Makes it more difficult to discern individual user performance Slide 15
16 EXAMPLE ENTERPRISE DATA BACKUP RELIABILITY MODEL SL1 Enterprise network WAN SL2 SL3 Users SL4 Slide 16
17 EXAMPLE ENTERPRISE DATA BACKUP Number and location of storage sites may change from time to time In this example, each storage site contains all the data WAN may not be totally within the control of the cloud storage service provider Contracted from some other network provider Slide 17
18 EXAMPLE ENTERPRISE DATA BACKUP All of this at time t P{access data} = P{user facility working} P{reach WAN thru enterprise network} [P{reach SL1 thru WAN & SL1 works} + + P{reach SL4 thru WAN & SL4 works}] Slide 18
19 EXAMPLE ENTERPRISE DATA BACKUP Each term may involve additional modeling Independence may or may not be appropriate Service functional decomposition can be a useful tool Slide 19
20 EXAMPLE SERVICE FUNCTIONAL DECOMPOSITION VoIP with SIP UAC INVITE AS UAS Trying Ringing OK ACK Pause INFO OK BYE OK INVITE Ringing Pause OK ACK INFO OK Pause BYE OK User Agent Client Application Server User Agent Server Slide 20
21 EXAMPLE ENTERPRISE DATA BACKUP Similar models can be constructed for the interruptions failures and the release failures As with all reliability models, simplifications and assumptions are made WAN modeling involves network capacity and traffic demand Slide 21
22 FULFILLING THE PROMISE OF SERVICE RELIABILITY IN EMERGING TECHNOLOGY-BASED NETWORKS The industry needs has a set of reliability metrics and terminology that are common across the network for which individual service availability requirements can be specified Slide 22
23 FULFILLING THE PROMISE OF SERVICE RELIABILITY IN EMERGING- TECHNOLOGY-BASED NETWORKS Service customers don t know and don t care what technologies are being used to deliver the service Even when technologies change (e. g., SDN) Enterprises and individuals may have different attitudes The service provider is responsible for ensuring that their infrastructure is capable of delivering reliable service SLA Slide 23
24 CLOUD SERVICES SLA RISK ANALYSIS SLAs for enterprise services are common SLAs for cloud services are riskier Reliability has been less well characterized Slide 24
25 COMMON RELIABILITY METRICS AND TERMINOLOGY Transaction-based services Engineering foundations exist CQR Two papers in QTQM Chapter in a forthcoming book Slide 25
26 CONCLUSION Conceptually straightforward Key is understanding customer reliability requirements for the cloud service + Accessibility + Continuity/Fulfillment + Release Execution can be challenging Infrastructure models Networks with unreliable elements Slide 26
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