Fault-Tolerant Components on AWS
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The Google File System (GFS)
The Google File System (GFS), as described by Ghemwat, Gobioff, and Leung in 2003, provided the architecture for scalable, fault-tolerant data management within the context of Google. These architectural choices, however, resulted in sub-optimal performance in regard to data trustworthiness (security) and simplicity. Additionally, the application- specific nature of GFS limits the general scalability of the system outside of the specific design considerations within the context of Google. SYSTEM DESIGN: The authors enumerate their specific considerations as: (1) commodity components with high expectation of failure, (2) a system optimized to handle relatively large files, particularly multi-GB files, (3) most writes to the system are concurrent append operations, rather than internally modifying the extant files, and (4) a high rate of sustained bandwidth (Section 1, 2.1). Utilizing these considerations, this paper analyzes the success of GFS’s design in achieving a fault-tolerant, scalable system while also considering the faults of the system with regards to data-trustworthiness and simplicity. Data-trustworthiness: In designing the GFS system, the authors made the conscious decision not prioritize data trustworthiness by allowing applications to access ‘stale’, or not up-to-date, data. In particular, although the system does inform applications of the chunk-server version number, the designers of GFS encouraged user applications to cache chunkserver information, allowing stale data accesses (Section 2.7.2, 4.5). Although possibly troubling -
Introspection-Based Verification and Validation
Introspection-Based Verification and Validation Hans P. Zima Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 E-mail: [email protected] Abstract This paper describes an introspection-based approach to fault tolerance that provides support for run- time monitoring and analysis of program execution. Whereas introspection is mainly motivated by the need to deal with transient faults in embedded systems operating in hazardous environments, we show in this paper that it can also be seen as an extension of traditional V&V methods for dealing with program design faults. Introspection—a technology supporting runtime monitoring and analysis—is motivated primarily by dealing with faults caused by hardware malfunction or environmental influences such as radiation and thermal effects [4]. This paper argues that introspection can also be used to handle certain classes of faults caused by program design errors, complementing the classical approaches for dealing with design errors summarized under the term Verification and Validation (V&V). Consider a program, P , over a given input domain, and assume that the intended behavior of P is defined by a formal specification. Verification of P implies a static proof—performed before execution of the program—that for all legal inputs, the result of applying P to a legal input conforms to the specification. Thus, verification is a methodology that seeks to avoid faults. Model checking [5, 3] refers to a special verification technology that uses exploration of the full state space based on a simplified program model. Verification techniques have been highly successful when judiciously applied under the right conditions in well-defined, limited contexts. -
Network Reliability and Fault Tolerance
Network Reliability and Fault Tolerance Muriel Medard´ [email protected] Laboratory for Information and Decision Systems Room 35-212 Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA 02139 Steven S. Lumetta [email protected] Coordinated Science Laboratory University of Illinois Urbana-Champaign 1308 W. Main Street, Urbana, IL 61801 1 Introduction The majority of communications applications, from cellular telephone conversations to credit card transactions, assume the availability of a reliable network. At this level, data are expected to tra- verse the network and to arrive intact at their destination. The physical systems that compose a network, on the other hand, are subjected to a wide range of problems, ranging from signal distor- tion to component failures. Similarly, the software that supports the high-level semantic interface 1 often contains unknown bugs and other latent reliability problems. Redundancy underlies all ap- proaches to fault tolerance. Definitive definitions for all concepts and terms related to reliability, and, more broadly, dependability, can be found in [AAC+92]. Designing any system to tolerate faults first requires the selection of a fault model, a set of possible failure scenarios along with an understanding of the frequency, duration, and impact of each scenario. A simple fault model merely lists the set of faults to be considered; inclusion in the set is decided based on a combination of expected frequency, impact on the system, and feasibility or cost of providing protection. Most reliable network designs address the failure of any single component, and some designs tolerate multiple failures. In contrast, few attempt to handle the adversarial conditions that might occur in a terrorist attack, and cataclysmic events are almost never addressed at any scale larger than a city. -
Vsphere Availability Vmware Vsphere 6.5 Vmware Esxi 6.5 Vcenter Server 6.5
vSphere Availability VMware vSphere 6.5 VMware ESXi 6.5 vCenter Server 6.5 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions of this document, see http://www.vmware.com/support/pubs. EN-002085-01 vSphere Availability You can ®nd the most up-to-date technical documentation on the VMware Web site at: http://www.vmware.com/support/ The VMware Web site also provides the latest product updates. If you have comments about this documentation, submit your feedback to: [email protected] Copyright © 2009–2017 VMware, Inc. All rights reserved. Copyright and trademark information. VMware, Inc. 3401 Hillview Ave. Palo Alto, CA 94304 www.vmware.com 2 VMware, Inc. Contents About vSphere Availability 5 Updated Information for vSphere Availability 7 1 Business Continuity and Minimizing Downtime 9 Reducing Planned Downtime 9 Preventing Unplanned Downtime 10 vSphere HA Provides Rapid Recovery from Outages 10 vSphere Fault Tolerance Provides Continuous Availability 11 Protecting the vCenter Server Appliance with vCenter High Availability 12 Protecting vCenter Server with VMware Service Lifecycle Manager 12 2 Creating and Using vSphere HA Clusters 13 How vSphere HA Works 13 vSphere HA Admission Control 21 vSphere HA Interoperability 26 Creating a vSphere HA Cluster 29 Configuring vSphere Availability Settings 31 Best Practices for vSphere HA Clusters 39 3 Providing Fault Tolerance for Virtual Machines 43 How Fault Tolerance -
Rethinking Database High Availability with RDMA Networks
Rethinking Database High Availability with RDMA Networks Erfan Zamanian1, Xiangyao Yu2, Michael Stonebraker2, Tim Kraska2 1 Brown University 2 Massachusetts Institute of Technology [email protected], fyxy, stonebraker, [email protected] ABSTRACT copy propagate to all the backup copies synchronously such that Highly available database systems rely on data replication to tol- any failed primary server can be replaced by a backup server. erate machine failures. Both classes of existing replication algo- The conventional wisdom of distributed system design is that rithms, active-passive and active-active, were designed in a time the network is a severe performance bottleneck. Messaging over when network was the dominant performance bottleneck. In essence, a conventional 10-Gigabit Ethernet within the same data center, these techniques aim to minimize network communication between for example, delivers 2–3 orders of magnitude higher latency and replicas at the cost of incurring more processing redundancy; a lower bandwidth compared to accessing the local main memory of trade-off that suitably fitted the conventional wisdom of distributed a server [3]. Two dominant high availability approaches, active- database design. However, the emergence of next-generation net- passive and active-active, both adopt the optimization goal of min- works with high throughput and low latency calls for revisiting imizing network overhead. these assumptions. With the rise of the next-generation networks, however, conven- In this paper, we first make the case that in modern RDMA- tional high availability protocol designs are not appropriate any- enabled networks, the bottleneck has shifted to CPUs, and there- more, especially in a setting of Local Area Network (LAN). -
Fault Tolerance
Distributed Systems Fault Tolerance Paul Krzyzanowski Except as otherwise noted, the content of this presentation is licensed under the Creative Commons Attribution 2.5 License. Page Faults • Deviation from expected behavior • Due to a variety of factors: – Hardware failure – Software bugs – Operator errors – Network errors/outages Page A fault in a system is some deviation from the expected behavior of the system -- a malfunction. Faults may be due to a variety of factors, including hardware, software, operator (user), and network errors. Faults • Three categories – transient faults – intermittent faults – permanent faults • Any fault may be – fail-silent (fail-stop) – Byzantine • synchronous system vs. asynchronous system – E.g., IP packet versus serial port transmission Page Faults can be classified into one of three categories: transient faults: these occur once and then disappear. For example, a network message transmission times out but works fine when attempted a second time. Intermittent faults: these are the most annoying of component faults. This fault is characterized by a fault occurring, then vanishing again, then occurring, … An example of this kind of fault is a loose connection. Permanent faults: this fault is persistent: it continues to exist until the faulty component is repaired or replaced. Examples of this fault are disk head crashes, software bugs, and burnt-out hardware. Any of these faults may be either a fail-silent failure (also known as fail-stop) or a Byzantine failure. A fail-silent fault is one where the faulty unit stops functioning and produces no ill output (it produces no output or produces output to indicate failure). A Byzantine fault is one where the faulty unit continues to run but produces incorrect results. -
Detecting and Tolerating Byzantine Faults in Database Systems Benjamin Mead Vandiver
Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR-2008-040 June 30, 2008 Detecting and Tolerating Byzantine Faults in Database Systems Benjamin Mead Vandiver massachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.edu Detecting and Tolerating Byzantine Faults in Database Systems by Benjamin Mead Vandiver Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 2008 c Massachusetts Institute of Technology 2008. All rights reserved. Author.............................................................. Department of Electrical Engineering and Computer Science May 23, 2008 Certified by.......................................................... Barbara Liskov Ford Professor of Engineering Thesis Supervisor Accepted by......................................................... Terry P. Orlando Chairman, Department Committee on Graduate Students 2 Detecting and Tolerating Byzantine Faults in Database Systems by Benjamin Mead Vandiver Submitted to the Department of Electrical Engineering and Computer Science on May 23, 2008, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science Abstract This thesis describes the design, implementation, and evaluation of a replication scheme to handle Byzantine faults in transaction processing database systems. The scheme compares answers from queries and updates on multiple replicas which are off-the-shelf database systems, to provide a single database that is Byzantine fault tolerant. The scheme works when the replicas are homogeneous, but it also allows heterogeneous replication in which replicas come from different vendors. Heteroge- neous replicas reduce the impact of bugs and security compromises because they are implemented independently and are thus less likely to suffer correlated failures. -
Fault Tolerance Techniques for Scalable Computing∗
Fault Tolerance Techniques for Scalable Computing∗ Pavan Balaji, Darius Buntinas, and Dries Kimpe Mathematics and Computer Science Division Argonne National Laboratory fbalaji, buntinas, [email protected] Abstract The largest systems in the world today already scale to hundreds of thousands of cores. With plans under way for exascale systems to emerge within the next decade, we will soon have systems comprising more than a million processing elements. As researchers work toward architecting these enormous systems, it is becoming increas- ingly clear that, at such scales, resilience to hardware faults is going to be a prominent issue that needs to be addressed. This chapter discusses techniques being used for fault tolerance on such systems, including checkpoint-restart techniques (system-level and application-level; complete, partial, and hybrid checkpoints), application-based fault- tolerance techniques, and hardware features for resilience. 1 Introduction and Trends in Large-Scale Computing Sys- tems The largest systems in the world already use close to a million cores. With upcoming systems expected to use tens to hundreds of millions of cores, and exascale systems going up to a billion cores, the number of hardware components these systems would comprise would be staggering. Unfortunately, the reliability of each hardware component is not improving at ∗This work was supported by the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357. 1 the same rate as the number of components in the system is growing. Consequently, faults are increasingly becoming common. For the largest supercomputers that will be available over the next decade, faults will become a norm rather than an exception. -
High Availability Guide 12C (12.2.1.1) E73182-01
Oracle® Fusion Middleware High Availability Guide 12c (12.2.1.1) E73182-01 June 2016 Oracle Fusion Middleware High Availability Guide, 12c (12.2.1.1) E73182-01 Copyright © 2013, 2016, Oracle and/or its affiliates. All rights reserved. Primary Author: Christine Ford Contributing Authors: Michael Blevins, Suvendu Ray, Lingaraj Nayak, Maneesh Jain, Peter LaQuerre Contributors: Gururaj BS This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency- specific supplemental regulations. As such, use, duplication, disclosure, modification, and adaptation of the programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, shall be subject to license terms and license restrictions applicable to the programs. -
Fault-Tolerant Operating System for Many-Core Processors
Fault-Tolerant Operating System for Many-core Processors Amit Fuchs Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 Fault-Tolerant Operating System for Many-core Processors Research Thesis In partial fulfillment of the requirements for the degree of Master of Science in Computer Science Amit Fuchs Submitted to the Senate of the Technion — Israel Institute of Technology Tevet 5778 Haifa December 2017 Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 The research thesis was carried out under the supervision of prof. Avi Mendelson, in the Faculty of Computer Science. Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 Technion - Computer Science Department - M.Sc. Thesis MSC-2018-28 - 2018 Contents List of Figures xi List of Listings xiii Abstract1 Glossary3 Abreviations5 1 Introduction7 1.1 Achievements.......................... 10 1.2 Related Work.......................... 12 1.2.1 Distributed Operating Systems ............ 12 1.2.2 Parallelization Techniques............... 13 1.2.2.1 Hardware Parallelism ............ 13 1.2.2.2 Native Multi-threading Libraries . 14 1.2.2.3 Message Passing............... 14 1.2.2.4 Transactional Memory............ 14 2 Architecture Model 17 2.1 Clustered Architecture..................... 17 2.2 Distributed Memory ...................... 19 2.2.1 Local Memories..................... 20 2.2.2 Globally Shared Memory................ 20 2.2.2.1 Scalable Consistency Model......... 21 2.2.2.2 No Hardware-based Coherency . 21 2.2.2.3 Distance Dependent Latency (NUMA) . 22 2.2.2.4 Address Translation ............ -
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud: AWS Whitepaper Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Web Application Hosting in the AWS Cloud AWS Whitepaper Table of Contents Abstract ............................................................................................................................................ 1 Abstract .................................................................................................................................... 1 An overview of traditional web hosting ................................................................................................ 2 Web application hosting in the cloud using AWS .................................................................................... 3 How AWS can solve common web application hosting issues ........................................................... 3 A cost-effective alternative to oversized fleets needed to handle peaks ..................................... 3 A scalable solution to handling unexpected traffic -
Fault Tolerance in Tandem Computer Systems
1'TANDEM Fault Tolerance in Tandem Computer Systems Joel Bartlett * Wendy Bartlett Richard Carr Dave Garcia Jim Gray Robert Horst Robert Jardine Dan Lenoski DixMcGuire • Preselll address: Digital Equipmelll CorporQlioll Western Regional Laboralory. Palo Alto. California Technical Report 90.5 May 1990 Part Number: 40666 ~ TANDEM COMPUTERS Fault Tolerance in Tandem Computer Systems Joel Bartlett* Wendy Bartlett Richard Carr Dave Garcia Jim Gray Robert Horst Robert Jardine Dan Lenoski Dix McGuire * Present address: Digital Equipment Corporation Western Regional Laboratory, Palo Alto, California Technical Report 90.5 May 1990 Part Nurnber: 40666 Fault Tolerance in Tandem Computer Systems! Wendy Bartlett, Richard Carr, Dave Garcia, Jim Gray, Robert Horst, Robert Jardine, Dan Lenoski, Dix McGuire Tandem Computers Incorporated Cupertino, California Joel Bartlett Digital Equipment Corporation, Western Regional Laboratory Palo Alto, California Tandem Technical Report 90.5, Tandem Part Number 40666 March 1990 ABSTRACT Tandem produces high-availability, general-purpose computers that provide fault tolerance through fail fast hardware modules and fault-tolerant software2. This chapter presents a historical perspective of the Tandem systems' evolution and provides a synopsis of the company's current approach to implementing these systems. The article does not cover products announced since January 1990. At the hardware level, a Tandem system is a loosely-coupled multiprocessor with fail-fast modules connected with dual paths. A system can include a range of processors, interconnected through a hierarchical fault-tolerant local network. A system can also include a variety of peripherals, attached with dual-ported controllers. A novel disk subsystem allows a choice between low cost-per-byte and low cost-per-access.