ECE 753: FAULT-TOLERANT COMPUTING Kewal K.Saluja Department of Electrical and Computer Engineering...

ECE 753: FAULT-TOLERANT COMPUTING

Kewal K.SalujaDepartment of Electrical and Computer Engineering

Motivation and IntroductionLecture Set 1

ECE 753 Fault Tolerant Computing 2

Overview• Motivation

• About the Course and the Instructor

– Conduct, Outline, Coursepack

• Introduction

• Terminology and definitions– Sources, Overview and Comments

– System defined

• Dependability/Security and their attributes

• Threat to dependability and modeling FEF chain

• Means to attain dependability

• Fundamental Principles


Motivation

• Informal Definition

• Key Attributes

• Who, What and Why Study

• Examples


Motivation

• What is Fault-Tolerance?

A “fault-tolerant system” is one that continues to perform at desired level of service in spite of failures in some components that constitute the system.


Motivation (contd.)

• Key attributes

Fault - Error - Failure

Performance - Availability - Reliability More recently concept of “survivability”

Inclusions of these constraints at design stage is likely to be more cost effective.


Motivation (contd.)• Who is concerned about fault-tolerance?

– System Users – irrespective of the application but some are a lot more concerned than others

• Who is concerned at design stages?– Universities

• R, d, and a (Research, development, applications)– Industry

• r, D, and A (research, Development, Applications)• Issues

– Design, Analysis/Validation, Implementation, Testing/Validation, Evaluation


Motivation (contd.)

Examples

• General Purpose Systems– PCs: RAMs with parity checks and possibly ECC

(consideration of re-execution on failure detection is being investigated)

– Workstations/Servers: error detection (HW), occasional corrective action (SW), Even ECC (HW), keeping log (SW)


Motivation (contd.)

Examples

• Reliable Systems– Telephone systems– Banking systems e.g. ATM– Stock market– CAE - exams/projects– Football games - display/ticketing


Motivation (contd.)

Examples

• Critical and Life Critical Systems– Manned and unmanned space borne systems– Aircraft control systems– Nuclear reactor control systems– Life support systems


Motivation (contd.)

Examples

• Reliable -> Critical Systems– 911 telephone switching system– Traffic light control system– Automotive control systems (ABS, Fuel

injection system)


About the Course and the Instructor

• Conduct– homeworks, exam, project, grading

• Outline

• Coursepack– references and reading list


Introduction

– Historical perspective and major push

– New initiatives

– Goals of fault-tolerance

– Applications of fault-tolerance


Introduction (contd.)• Historical Perspective

– not a new concept

– first use by J. van Neumann 1956• probabilistic logic and synthesis of reliable organism from

unreliable components, Annals of mathematical studies, Princeton University Press

• Major push– Space program

– HW Fault tolerance - then

– SW Fault tolerance later

– Merge the two


Introduction (contd.)

• New initiativesDensity of devices more failures likely

Power issue – schedular, on-chip sensorsFailures due to soft-errors, life time degradations

- hardening, re-exection, - on-chip ECC- erconfiguration- microarchitectural solutions- architectural solutions



• New initiatives (contd.)Deep submicron technology and time to market pressure designs not fully verified Implementation of numerous functionalities on

chip/board/system possibility of system hang-up

Speculative execution results may need to be re-checked

Low cost of HW and SW affordable/ecnomical

• Hot issues: Soft errors, Life-time failures, Power and Thermal Management



• Goals - different goals for different applications

The key word is “reliability” – has different meaning for different users and applications

• Intuitive explanations– Dependability– Service– Specification


Introduction (contd.)• Intuitive concepts

– Reliability – continues to work– Availability – works when I need it– Safety – does not put me in jeopardy – Performability – Maintainability– Testability– Survivability – will the system survive

catastrophic events?– Security



• Applications– Space borne system

• long life system

– Airplane control system• critical system

– Transaction processing system• high availability system

– Switching system• high availability over certain level of performance


Terminology and definitions

• Reliability and concept of probability– R(t): conditional probability that a system provides

continuous proper service in the interval [0,t] given that it provided desired service at time 0.

• Availability

• Performabiltiy – An Example

• Dependability

• Security

Sources, Overview and Comments (1/4)Key reference:

• Algirdas Avizienis, Jean-Claude Laprie, Brian Randell, and Carl Landwehr, Basic Concepts and Taxonomy of Dependable and Secure Computing, IEEE Transactions on Dependable and Secure Computing, Vol. 1, No. 1, Jan-Mar 2004.

Other references:• Israel Koren and C. Mani Krishna, Fault Tolerant Systems, Elsevier, 2007.

• D. K. Pradhan, editor, Fault-Tolerant Computer System Design, Prentice-Hall, 1996.

• B. W. Johnson, Design and analysis of fault tolerant digital systems, Addison-Wesley, First edition, 1989.

• My course (Fault-Tolerant Computing) URL: http://homepages.cae.wisc.edu/~ece753/INFO.html

ECE 753 Fault Tolerant Computing

Sources, Overview and Comments (2/4)

• What does the paper cover?– Very basic definitions of the terminologies used in

dependable computing– It categorizes definitions in three groups

• System, attributes of dependability, threats to dependability

– Covers very briefly methods to attain dependability



• How to read the paper?– It is easy to read – scan it first and then read it– I have organized the material differently – you may

find it helpful

• What is not covered?– One attribute almost missing - survivability– Basic methods of Fault Tolerance and their

characterization



• Chronology of Developments– Need for fault-tolerance - inception of the space program

(recall “Voyager” launched in 1977 is still sending signals)

– First standard glossary in 1985

– Integration of performance etc into fault tolerance – and hence the term “Dependability” – book published in 1992

– Recognition of “Security” as a basic attribute of dependability – this paper in 2004


System Defined (1/4)• “. . . an entity that interacts with other entities”

– First entity (system) – limited to be “electronic (mostly digital)” or “computer based”

– Second entity• Hardware, software, human, other systems, .. (can also be called

“environment”)

• Characterization and fundamental properties– Functionality

– Performance

– Dependability and security

– Cost

(usuability, managability, adaptabilty : not directly included in the paper)


System Defined (2/4)

• Function – “ what the system is intended to do” – functional specifications: describe it in terms of functionality

and performance

– behavior – described as a sequence of states to implement the functionality

– Total states – set of states as system evolves • Internal states

• External states – as viewed by the environment and users

• Structure – “What enables system behavior (function)” – Interconnected components – recursively defined to

“atomic” level


System Defined (3/4)

• System Life Cycle– Development phase

– Use phase

• Service – what is delivered by the system to its “environment” (user)– Environment sees only the “external states”

– Development Phase – activities from concept to decision that system is ready for “use phase”

– Use Phase - More meaningful and includes service delivery, service outage, service shutdown, maintenance


System Defined (4/4)• Development phase environment

– Physical world

– Human developers

– Development tools

– Production and test facilities

• User phase environment– Physical world

– Administrators – maintainers

– Users and intruders

– Providers and infrastructure


Dependability/Security Attributes (1/6)

• Original definition: “ability to deliver service that can justifiably be trusted”

• Encompassing the following attributes– Availability

– Reliability

– Safety

– Integrity

– maintainability



• New definition: “ability to avoid service failures that are more frequent or more severe than is acceptable” - deliver service that can justifiably be trusted

• Reason for modification– Security related issues

– This recognizes that a system can fail and it usually does fail and it still can be called dependable

– This definition also enables a connection with “development failures”


Dependability/Security Attributes (3/6) Dependability

• availability: readiness for correct service.

• reliability: continuity of correct service.

• safety: absence of catastrophic consequences on the user(s) and the environment.

• integrity: absence of improper system alterations.

• maintainability: ability to undergo modification and repairs

When addressing security, an additional attribute confidentiality: the absence of unauthorized disclosure


Security is concurrent existence of composite of the attributes

1) availability (for authorized actions only),

2) confidentiality, and

3) integrity (with “improper” meaning “unauthorized”)



F



• Other related concepts – summarized in table (Fig 15) - these are– Dependability– High confidence– Survivability– Trustworthiness

• Example: all these have similar goals such as 1): ability to deliver service, 2): predictable service, 3): fulfill mission, 4): assurance of expected service delivery



Threats and modeling threats (1/12)

• Different phases are open to different types of threats – generally termed as “faults”

• Faults lead to “errors” – a total state of the system different from the “true total state”

• Errors can lead to “failure” – the service deviates from the desired service

• This creates a FEF chain – a hierarchical phenomenon (see next and more later)


fault error

failure

Fault activation – Error manifestation – Failure


Fault – active or dormant

Error – masked or latent

Failure – incorrect response


FEF Chain in an hierarchy


Fault classes

• Groups (not exclusive)– Development, Physical – (that affect hardware - I

disagree with this definition), Interaction

• Viewpoints: – phase, system boundary, cause, dimension,

objective, intent, capability, persistence


Fault Taxonomy and Examples

Production defect: physical, hardware, natural

Bug: physical, software, natural

Omission (absence of an action): Humam made, system generated

Melicious (meant to cause harm): Human made, Hardware or software

Notes:

1. Paper has a classification – Fig 4 and 5

2. Examples and definition of many other faults given. Some listed on next slide


Fault Taxonomy (contd.)

Permanent faults

Intermittent faults – repeat at some interval

Transient faults – no specific interval

Malicious logic faults – caused be natural faults

Intrusion attempts – caused by humans

Interaction faults – may be development phase or use phase

Configuration faults – incorrect setting of parameters


Errors classes

• Detected

• Latent

An example– An adder gives incorrect sum for certain operands

– Fault is active when those operands appear, otherwise it is dormant

– Incorrect sum is latent unless used or checked for correctness


Failure classes

• Development failures

• Service failures

• Security failures


• Development failures – introduced during the development phase– Human developers– Tools – Production facility– Budgetary reasons– Scheduling issue (time to market)

(basically the system delivered is a downgraded system)


• Service failures - delivery of incorrect service – Four viewpoints

1. Failure domain– Content failure– Timing failure – early or late delivery of

the service(s)• Special case: silent failure, halt failure, crash

failure

• Erratic failure (like Byzantine failure)


2. Failure detectability– Signal provided by some checking mechanism

• Signaled failure

• Unsignaled failure

• False alarm

3. Consistency – Consistent failure – all services see the same

data– Inconsistent – different services see different

data (like Byzantine failure)


4. Consequence of failure– Need to rate the failure and hence develop

criteria – examples:• Outage of duration (availability related)

• Lives being endangered (safely related)

• Extent of corrupted service (integrity related)

• Amount of information disclosed (confidentiality related)

Means to attain dependability (1/6)

• Fault Prevention or Fault Avoidance• Improvement of development process

• Elimination of causes that can induce faults

• Fault Tolerance• Techniques and implementations

(more later)


• Fault Removal • Remove faults during development phase

– extensive simulation and validation

• Testing• Deterministic testing

• Random and statistical testing

• Back to back testing

Test/validation quality: fault injection, design for test/verification


• Fault Forecasting – evaluate the system behavior and then use one or more methods previously discussed to improve dependability• Qualitative evaluation• Quantitative evaluation• Use benchmarks• Use of simulators

Examples: 1) Error and failure logs

2) when and where commissioned


• Fault Tolerance Techniques• Error detection - need redundancy

• Duplicate execution

• Use of parity

• Checker programs and/or hardware

• More later


• Recovery - Key is redundancy

• Error handling• Masking and compensation

• Rollback

• Rollforward

• Fault handling• Diagnosis

• Isolation

• Reconfiguration

• Initialization


• Key to fault tolerance• Break FEF chain

• Use “redundancy” to improve “use phase” dependability and security

• See next “fundamental principles”


Fundamental Principles

• Hardware redundancy• Low level

• High level

• Software Redundancy• Time Redundancy• Information Redundancy


Fundamental Principles (contd.)

• Hardware Redundancy - Low level– logic level

• Example 1 - Self checking circuits

• Example 2 - Arithmetic code A modular adder using the mathematical principle

(A+B) mod k = ((A mod k) + (B mod k)) mod k

• Hardware Redundancy - High level– Triplicate or 5-copies as in space shuttle


Fundamental Principles (contd.)

• Software Redundancy – Use two different programs/algorithms

• Time Redundancy– Re-compute or redo the task and compare the results

– May or may not use the same hardware/software

• Information Redundancy– backup information

– Use of ECC

• Question - What kind of FT is achieved?


Fault-Error-Failure

• Intuitive definitions• Origins of faults• Methods to break FEF chain• Attribute of faults


Fault-Error-Failure concept (contd.)

Intuitive definitions

• Fault -– An anomalous physical condition caused by a

manufacturing problem, fatigue, external disturbance (intentional or un-intentional), desgin flaw, …

– Causes

• Error - Effect of activation of a fault

• Failure - over-all system effect of an error

Fault -> Error -> Failure



Origins of faults

• Physical device level (HW)

• Logic level (HW)

• Chip level (HW)

• System level (HW/SW)– interfacing, specifications, …

• Why systems fail



Methods to break FEF chain

• Flow FEF

• Barriers– Fault avoidance– Fault masking– Fault removal– Fault forecasting



Attribute of faults

• Cause

• Nature

• Duration

• Extent

• Value

ECE 753: FAULT-TOLERANT COMPUTING Kewal K.Saluja Department of Electrical and Computer Engineering...

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Transcript of ECE 753: FAULT-TOLERANT COMPUTING Kewal K.Saluja Department of Electrical and Computer Engineering...