Clock Synchronization

Total Page:16

File Type:pdf, Size:1020Kb

Clock Synchronization Middleware Laboratory Sapienza Università di Roma MIDLAB Dipartimento di Informatica e Sistemistica Clock Synchronization Marco Platania www.dis.uniroma1.it/~platania [email protected] Sapienza University of Rome Time notion Each computer is equipped with a physical (hardware) clock It can be viewed as a counter incremented by ticks of an oscillator i At time t, the Operating System (OS) of a process y r o t reads the hardware clock H(t) of the processor a r o b a L e r a C = a H(t) + b w Then, it generates the software clock e l d d i M C approximately measures the time t of process i B A L D I M notion among processes among notion isas known evolve executions distributed (DS) Distributed in Systems Time Problems: how to analyze a in DS factor Time a key is The technique used to coordinate a common time time common a techniqueThe used coordinate to common notion time common of a process state during distributed a computation However, it©s important processes for a share to However, Lacking of a global reference time: it©s hard to know Lackingthe time:it©sknow to hard of a global reference ClockSynchronization MIDLAB Middleware Laboratory Clock Synchronization [10] The hardware clock of a set of computers (system nodes) may differ because they count time with different frequencies Clock Synchronization faces this problem by means of synchronization algorithms y r Standard communication infrastructure o t a r o No additional hardware b a L e r a w e l Clock synchronization algorithms d d i External M Internal B A L Heartbeat (pulse) D I M bound bound time source authoritative process ClockExternal Sync Minimizes the distance between clock between the Minimizes distance ∆ : i = 1, 2,..., n i = 1, | C(t) S(t)± and the time provided by an an by time the and provided S, within a synchronization synchronization a within | | ≤ Δ C i of MIDLAB Middleware Laboratory Internal Clock Sync No external reference time server Minimizes the distance of any two clock C and C of i j processes i,j = 1, 2, ..., n within a synchronization bound ∆: | C (t) ± C (t) | ≤ ∆ i j y r Notes: o t a r A set of processes P externally synchronized within a o b a L bound ∆ is also internally synchronized within a bound 2∆ e r a It follows directly from definition of external and internal w e l d d clock synchronization i M P A set of process internally synchronized are not B necessarily externally synchronized because they may A L drift collectively from the external time source D I M Heartbeat sync (pulse) length length at then smaller round least order one ofthe magnitude the in same instant, errorwith an that is approximately the in same instant approximately value starts, round synchronization a rather than clockthe They startThey round a synchronization finish and heartbeat local a generate periodically nodes System the node, time for each which in Aims synchronize, to MIDLAB Middleware Laboratory Clock algorithmssync two any clocks ( any two the difference on bound an upper between guarantee and delay on transmission bound upper Deterministics algorithms assume the presence of an algorithms the assume presence Deterministics groups three in divided Clock algorithms are sync Statistics Probabilistics Deterministics precision ) MIDLAB Middleware Laboratory Probabilistics algorithms Probabilistics communication errors communication occurs loss) (messages clock of if lot a of out goes synchronization others with synchronized clocks synchronized between a maximumconstant deviation guarantee But there is a probability greater than 0 thatthan 0 a process greater probability But is a there if its time,clock a knows is process any At but they No assumption on transmission delay, MIDLAB Middleware Laboratory Statistics algorithms failure failure of zero probability a with non only can be guaranteed certain probability with a maximumconstant deviation given a within are others known are of delay the transmission value Then, in probabilistics and statistics algorithms precision statistics precision and algorithms Then,probabilistics in clocks that at any time each two guarantee they Anyway, far their fromclocks are how Processes don©t know theand expected Assumes that the standard deviation MIDLAB Middleware Laboratory Why clock sync is important? An example UNIX make command is used to compile source code Typically, a large UNIX program is splitted in several files A change to one source file only requires that file to be recompiled make goes through all the source files to find out y which ones need to be recompiled r o t a r o It examines the time in which source and object files b a L were last modified e r a w e l If the source file was last modified after the object file, d d i make M calls the compiler to recompile it B A L D I M behavior an unpredictable to lead will that probably clock the slower on is that machine because time 2143 but is assigned output.c is modified time on agreement different no global two with machines, Lack of synchronization is Lack is dramatic! of synchronization of mixture a code programcontain will executable The make shortlyand after that output.o Suppose has 2144 time on compiler and running editor have to suppose Let©s will not call the compilercall not will MIDLAB Middleware Laboratory Some definitions Scale of the system LAN (Local Area Network) tipically composed by few hundreds of nodes It allows a deep data traffic analysis in order to derive an upper bound on the transmission delay In the following we©ll consider clique-based LANs (each node is connected to every other) Clique is not scalable: adding new nodes augments the load y of the system r o t a r o b a L WAN (Wide Area Network) e r a w Up to millions of nodes e l d d No data traffic analysis is feasible i M Transmission delay finished but unknown B Random graph topology: each node is connected to a A subset of nodes in the network L D I High scalability: a node interacts only with its neighbors M Failures None reliable system Crash-stop a crashed node leaves the system forever Byzantine a byzantine node is one that arbitrarily either follows correctly the algorithm, or executes different steps. In clock sync, byzantines aim to destroy the system convercence y r o t a r o b Dynamism a L e r a w e l d Static network d i Nodes leave the network only due to crashes M Dynamic network B Nodes can join and leave the network at any time, A L D voluntarily or due to crashes I M Clock sync in literature: a state of the art Authors Algorithm Synchro Fault Communi Assumption Paradigm nization Toleranc cation on message Paradig e Topology delay m Lamport Deterministic Internal None Clique Known bound Cristian Probabilistic Internal Byz. Star Known (3F+1) (Master- distribution Slave) Mills (NTP) Probabilistic External Byz. (1) Hierarchica Known l (Master- distribution Slave) y r Rodrigues Probabilistic External Crash Hierarchica Known o t a r et al. l (Master- distribution o b Slave) a L e r O.Babaoglu Probabilistic HeartBeat Crash Random None a w e et al. Graph l d d Van Steen Probabilistic External Crash Random None i M et al. Graph Baldoni, et Probabilistic Internal Byz. Random None B al. Prob. Graph A L D D. Dolev et Deterministic HeartBeat Byz. Clique Known bound I al. (3F+1) M NTP± Network [7] Protocol Time It is based on a hierarchical structure It on hierarchical a is based LAN in mostThe algorithm both WAN in used and synchronization external Provides for istance UTC istance for timesource, External Primary servers Secondary servers Clients MIDLAB Middleware Laboratory Primary servers are directly connected to external time source Secondary servers are connected to one or more primary servers Secondary servers read time from primary servers and distribute the information to clients Time estimation For each pair of messages exchanged by two servers, NTP estimates the total transmission time as: T ± T + T - T y i-2 i-3 i i-1 r o t a r o b a L e r a w e l d d i M B A L D I M Accuracy of Accuracy NTP tolerance Fault replication andcryptography itthen connects primary another to server server, it becomes secondary a server 1millisecond in LAN pathsmilliseconds on Internet 10 means servers of by failure byzantine NTP tolerates Ifsecondary a server looses connection a primaryfrom Ifprimary a serverdisconnects fromthetime source,then MIDLAB Middleware Laboratory al. [8] ± Rodrigueset CESIUM SPRAY Uses a hierarchical structure based on WANs of LANs on WANs based structure Uses hierarchical a synchronization Hybrid external/internal GPS satellites Node equipped Node Nodes over over Nodes with GPS with receiver LANs MIDLAB Middleware Laboratory Assumption: each LAN is equipped at least with a node with GPS receiver (GPS node) GPS satellites ªsprayº time information over GPS nodes GPS nodes further ªsprayº time information over LANs through broadcasts (an error-free broadcast is guaranteed to occur) Nodes within LANs apply a function (average, median, ¼) to the set of value obtained to update the clock value WANs of LANs approach: y r Accuracy of synchronization in LANs even if a o t a r disconnection from time source occurs o b a L Low error rate e r a w e Transmission delay bounded l d d Transmission delay negligible without errors i M Fault tolerance B A Replication of GPS nodes for external synchronization L D Enough node in LANs for internal synchronization I M Lamport [1] Internal clock syncronization Reliable LAN (no failures) Clique-based topology Synchronization
Recommended publications
  • Lecture 12: March 18 12.1 Overview 12.2 Clock Synchronization
    CMPSCI 677 Operating Systems Spring 2019 Lecture 12: March 18 Lecturer: Prashant Shenoy Scribe: Jaskaran Singh, Abhiram Eswaran(2018) Announcements: Midterm Exam on Friday Mar 22, Lab 2 will be released today, it is due after the exam. 12.1 Overview The topic of the lecture is \Time ordering and clock synchronization". This lecture covered the following topics. Clock Synchronization : Motivation, Cristians algorithm, Berkeley algorithm, NTP, GPS Logical Clocks : Event Ordering 12.2 Clock Synchronization 12.2.1 The motivation of clock synchronization In centralized systems and applications, it is not necessary to synchronize clocks since all entities use the system clock of one machine for time-keeping and one can determine the order of events take place according to their local timestamps. However, in a distributed system, lack of clock synchronization may cause issues. It is because each machine has its own system clock, and one clock may run faster than the other. Thus, one cannot determine whether event A in one machine occurs before event B in another machine only according to their local timestamps. For example, you modify files and save them on machine A, and use another machine B to compile the files modified. If one wishes to compile files in order and B has a faster clock than A, you may not correctly compile the files because the time of compiling files on B may be later than the time of editing files on A and we have nothing but local timestamps on different machines to go by, thus leading to errors. 12.2.2 How physical clocks and time work 1) Use astronomical metrics (solar day) to tell time: Solar noon is the time that sun is directly overhead.
    [Show full text]
  • Distributed Synchronization
    Distributed Synchronization CIS 505: Software Systems Communication between processes in a distributed system can have Lecture Note on Physical Clocks unpredictable delays, processes can fail, messages may be lost Synchronization in distributed systems is harder than in centralized systems because the need for distributed algorithms. Properties of distributed algorithms: 1 The relevant information is scattered among multiple machines. 2 Processes make decisions based only on locally available information. 3 A single point of failure in the system should be avoided. Insup Lee 4 No common clock or other precise global time source exists. Department of Computer and Information Science Challenge: How to design schemes so that multiple systems can University of Pennsylvania coordinate/synchronize to solve problems efficiently? CIS 505, Spring 2007 1 CIS 505, Spring 2007 Physical Clocks 2 The Myth of Simultaneity Event Timelines (Example of previous Slide) time “Event 1 and event 2 at same time” Event 1 Node 1 Event 2 Event 1 Event 2 Node 2 Observer A: Node 3 Event 2 is earlier than Event 1 Observer B: Node 4 Event 2 is simultaneous to Event 1 Observer C: Node 5 Event 1 is earlier than Event 2 e1 || e2 = e1 e2 | e2 e1 Note: The arrows start from an event and end at an observation. The slope of the arrows depend of relative speed of propagation CIS 505, Spring 2007 Physical Clocks 3 CIS 505, Spring 2007 Physical Clocks 4 1 Causality Event Timelines (Example of previous Slide) time Event 1 causes Event 1 Event 2 Node 1 Event 2 Node 2 Observer A: Event 1 before Event 2 Node 3 Observer B: Event 1 before Event 2 Node 4 Observer C: Event 1 before Event 2 Node 5 Note: In the timeline view, event 2 must be caused by some passage of Requirement: We have to establish causality, i.e., each observer must see information from event 1 if it is caused by event 1 event 1 before event 2 CIS 505, Spring 2007 Physical Clocks 5 CIS 505, Spring 2007 Physical Clocks 6 Why need to synchronize clocks? Physical Time foo.o created Some systems really need quite accurate absolute times.
    [Show full text]
  • Clock Synchronization Clock Synchronization Part 2, Chapter 5
    Clock Synchronization Clock Synchronization Part 2, Chapter 5 Roger Wattenhofer ETH Zurich – Distributed Computing – www.disco.ethz.ch 5/1 5/2 Overview TexPoint fonts used in EMF. Motivation Read the TexPoint manual before you delete this box.: AAAA A • Logical Time (“happened-before”) • Motivation • Determine the order of events in a distributed system • Real World Clock Sources, Hardware and Applications • Synchronize resources • Clock Synchronization in Distributed Systems • Theory of Clock Synchronization • Physical Time • Protocol: PulseSync • Timestamp events (email, sensor data, file access times etc.) • Synchronize audio and video streams • Measure signal propagation delays (Localization) • Wireless (TDMA, duty cycling) • Digital control systems (ESP, airplane autopilot etc.) 5/3 5/4 Properties of Clock Synchronization Algorithms World Time (UTC) • External vs. internal synchronization • Atomic Clock – External sync: Nodes synchronize with an external clock source (UTC) – UTC: Coordinated Universal Time – Internal sync: Nodes synchronize to a common time – SI definition 1s := 9192631770 oscillation cycles of the caesium-133 atom – to a leader, to an averaged time, ... – Clocks excite these atoms to oscillate and count the cycles – Almost no drift (about 1s in 10 Million years) • One-shot vs. continuous synchronization – Getting smaller and more energy efficient! – Periodic synchronization required to compensate clock drift • Online vs. offline time information – Offline: Can reconstruct time of an event when needed • Global vs.
    [Show full text]
  • PTP Background and Overview
    PTP Background and Overview by Jeff Laird, July 2012 Introduction Precision Time Protocol (PTP) allows computers in a local area network to synchronize their clocks to within a microsecond of each other. The standard was originally defined in 2002. The second and current version of the standard was published in 2008. It is known as “IEEE 1588-2008” (IEEE Standard for a Precision Clock Synchronization Protocol for Networked Measurement and Control Systems). PTP compared to other synchronization methods PTP is more accurate than NTP but less accurate than GPS. NTP NTP (Network Time Protocol) was standardized in 1985 and is the most common clock synchronization method, being used by tens of millions of client computers to synchronize to NTP servers over the Internet. NTP is primarily used in wide-area networks, where it can achieve accuracy to 10 ms. On a local-area network NTP can achieve accuracy to 200 μs. NTP includes SNTP (Simple NTP), which is stateless (no averaging) and therefore suitable for embedded devices, but less accurate. In NTP terminology, stratum-0 clocks are atomic clocks, GPS satellites, and radio clocks not directly on a network. They provide the time to stratum-1 clocks (network time servers) using a PPS (pulse-per- second) signal over an RS-232 serial connection. Stratum-2 clocks typically synchronize with multiple stratum-1 clocks. Stratum-3 clocks synchronize with one or more stratum-2 clocks, and so on. An NTP timestamp is 64 bits long—32 bits for seconds (to 136 years) and 32 bits for fraction of a second (to <0.25 ns).
    [Show full text]
  • STP Recommendations for the FINRA Clock Synchronization Requirements
    STP recommendations for the FINRA clock synchronization requirements This document can be found on the web, www.ibm.com/support/techdocs Search for document number WP102690 under the category of “White Papers". Version Date: January 20, 2017 George Kozakos [email protected] © IBM Copyright, 2017 Version 1, January 20, 2017 Web location of document ( www.ibm.com/support/techdocs ) ~ 1 ~ STP recommendations for the FINRA clock synchronization requirements Contents Configuring an external time source (ETS) via a network time protocol (NTP) server with pulse per second (PPS) ......................................................................................................... 3 Activating the z/OS time of day (TOD) clock accuracy monitor .............................................. 4 Maintaining time accuracy across power-on-reset (POR) ...................................................... 5 Specifying leap seconds ....................................................................................................... 6 Appendix ............................................................................................................................. 7 References ........................................................................................................................... 8 Trademarks ......................................................................................................................... 8 Feedback ............................................................................................................................
    [Show full text]
  • Distributed Systems: Synchronization
    Chapter 3: Distributed Systems: Synchronization Fall 2013 Jussi Kangasharju Chapter Outline n Clocks and time n Global state n Mutual exclusion n Election algorithms Kangasharju: Distributed Systems 2 Time and Clocks What we need? How to solve? Real time Universal time (Network time) Interval length Computer clock Order of events Network time (Universal time) NOTE: Time is monotonous Kangasharju: Distributed Systems 3 Measuring Time n Traditionally time measured astronomically n Transit of the sun (highest point in the sky) n Solar day and solar second n Problem: Earth’s rotation is slowing down n Days get longer and longer n 300 million years ago there were 400 days in the year ;-) n Modern way to measure time is atomic clock n Based on transitions in Cesium-133 atom n Still need to correct for Earth’s rotation n Result: Universal Coordinated Time (UTC) n UTC available via radio signal, telephone line, satellite (GPS) Kangasharju: Distributed Systems 4 Hardware/Software Clocks n Physical clocks in computers are realized as crystal oscillation counters at the hardware level n Correspond to counter register H(t) n Used to generate interrupts n Usually scaled to approximate physical time t, yielding software clock C(t), C(t) = αH(t) + β n C(t) measures time relative to some reference event, e.g., 64 bit counter for # of nanoseconds since last boot n Simplification: C(t) carries an approximation of real time n Ideally, C(t) = t (never 100% achieved) n Note: Values given by two consecutive clock queries will differ only if clock resolution is sufficiently smaller than processor cycle time Kangasharju: Distributed Systems 5 Problems with Hardware/Software Clocks n Skew: Disagreement in the reading of two clocks n Drift: Difference in the rate at which two clocks count the time n Due to physical differences in crystals, plus heat, humidity, voltage, etc.
    [Show full text]
  • BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems Qin Shi, Xiaowei Cui, Sihao Zhao, Shuang Xu, and Mingquan Lu
    1 BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems Qin Shi, Xiaowei Cui, Sihao Zhao, Shuang Xu, and Mingquan Lu Abstract—The spatiotemporal information plays crucial roles better capabilities beyond only a single agent, in terms of in a multi-agent system (MAS). However, for a highly dynamic robustness, scalability, and effectiveness. and dense MAS in unknown environments, estimating its spa- Realizing this vision will require MASs to overcome some tiotemporal states is a difficult problem. In this paper, we present BLAS: a wireless broadcast relative localization and clock new unique challenges. Among these, real-time precise relative synchronization system to address these challenges. Our BLAS localization and clock synchronization are two key challenges. system exploits a broadcast architecture, under which a MAS Relative localization is the process of determining the multi- is categorized into parent agents that broadcast wireless packets agent dynamic topology, and clock synchronization provides a and child agents that are passive receivers, to reduce the number common time reference for distributed agents. The spatiotem- of required packets among agents for relative localization and clock synchronization. We first propose an asynchronous broad- poral determination is crucial for MASs to perform basic oper- casting and passively receiving (ABPR) protocol. The protocol ations: 1) Coordination: Spatiotemporal coordination between schedules the broadcast of parent agents using a distributed time agents is necessary for a MAS to collaboratively carry out division multiple access (D-TDMA) scheme and delivers inter- tasks effectively. The difficulty of the coordination operations agent information used for joint relative localization and clock strongly lies in the knowledge of the relative position and clock synchronization.
    [Show full text]
  • Lecture 12: March 4 12.1 Review 12.2 Clock Synchronization
    CMPSCI 677 Operating Systems Spring 2013 Lecture 12: March 4 Lecturer: Prashant Shenoy Scribe: Timothy Wang 12.1 Review Objects and resources in distributed systems have names, which are mainly used to resolve to objects that your application is trying to access. DNS is an example of a naming system. DNS resolves a global sets of clients, and thus itself must be distributed. LDAP is another example of distributed naming system, which provides a more general lookup mechanism. 12.2 Clock Synchronization Assume that a machine has a system clock that tells you the current time. Every application can request the current time from the system clock. Time is unambiguous in centralized systems, so there is no syn- chronization problem in centralized systems. In a distributed system,however,each machine has its own clock. Note that clocks in machines are usually crystal oscillators. They are not very accurate. Thus, the asynchronization among the clocks will cause problems. Let’s use ”make” as an example. Make is an utility that allows you to incrementally compile every source file that was modified since the previous time it was run. The way it works is to compare the time stamps on the source files and the object files. If these files are located in different machines, the clocks on these machines may not be synchronized. Then if you save a source file on a machine with slower clock, its time stamp may be earlier than the object file, and make won’t recompile that source file. Many problems like this occur because of lack of synchronization.
    [Show full text]
  • Optimization of Time Synchronization Techniques on Computer Networks
    THÈSE Pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ GRENOBLE ALPES Spécialité : Informatique Arrêté ministériel : 25 mai 2016 Présentée par Faten MKACHER Thèse dirigée par Andrzej DUDA et coencadrée par Fabrice GUERY Préparée au sein du Laboratoire d’Informatique de Grenoble (LIG), dans l’École Doctorale Mathématiques, Sciences et Technologies de l’Information, Informatique (EDMSTII). Optimization of Time Synchronization Techniques on Computer Networks Thèse soutenue publiquement le 02 juin 2020, devant le jury composé de : Noel de Palma Professeur, Université Grenoble Alpes, Président Katia Jaffrés-Runser Maître de conférence, Université de Toulouse, Rapporteur Hervé Rivano Professeur, Université INSA de Lyon, Rapporteur Andrzej Duda Professeur, Grenoble INP, Directeur de thèse Fabrice Guery Responsable Innovation, Gorgy Timing, Invité 2 Abstract Nowadays, as society has become more interconnected, secure and accurate time-keeping be- comes more and more critical for many applications. Computing devices usually use crystal clocks with low precision for local synchronization. These low-quality clocks cause a large drift between machines. The solution to provide precise time synchronization between them is to use a refer- ence clock having an accurate source of time and then disseminate time over a communication network to other devices. One of the protocols that provide time synchronization over packet- switched networks is Network Time Protocol (NTP). Although NTP has operated well for a general- purpose use for many years, both its security and accuracy are ill-suited for future challenges. Many security mechanisms rely on time as part of their operation. For example, before using a digital certificate, it is necessary to confirm its time validity.
    [Show full text]
  • Adaptive Clock Synchronization in Sensor Networks
    Adaptive Clock Synchronization in Sensor Networks Santashil PalChaudhuri Amit Kumar Saha David B. Johnson [email protected] [email protected] [email protected] Department of Computer Science Rice University Houston, TX 77005 ABSTRACT 1. INTRODUCTION Recent advances in technology have made low cost, low Recent advances in technology have made low-cost, low- power wireless sensors a reality. Clock synchronization is an power wireless sensors a reality. Sensor networks formed important service in any distributed system, including sen- from such sensors can be deployed in an ad hoc fashion and sor network systems. Applications of clock synchronization cooperate to sense and process a physical phenomenon. As in sensor networks include data integration in sensors, sen- each sensor has a finite battery source, an important feature sor reading fusion, TDMA medium access scheduling, and of sensor network is energy efficiency to extend the network's power mode energy saving. However, for a number of rea- lifetime. sons, standard clock synchronization protocols are unsuit- As in any distributing computer system, clock synchro- able for direct application in sensor networks. nization is an important service in sensor networks. Sensor In this paper, we introduce the concept of adaptive clock network applications can use synchronization for data inte- synchronization based on the need of the application and gration and sensor reading fusion. A sensor network may the resource constraint in the sensor networks. We describe also use synchronization for TDMA medium access schedul- a probabilistic method for clock synchronization that uses ing, power mode energy savings, and scheduling for direc- the higher precision of receiver-to-receiver synchronization, tional antenna reception.
    [Show full text]
  • Time and Synchronization
    FYS3240- 4240 Data acquisition & control Time and synchronization Spring 2018– Lecture #11 Bekkeng, 02.04.2018 Why is time and synchronization so important? • Some examples: – In financial trading we must know the time accurately. – Important to reduce confusion in shared file systems. – Update databases (in parallel). – Tracking security breaches or network usage requires accurate timestamps in logs. – Used in electric power systems (fault recorders, billing meters, etc.). – Necessary in telecommunication networks. – Global Navigation Satellite Systems (GNSS), such as GPS, requires very accurate clock synchronization for position calculations. TU-artikkel : GPS mer enn bare navigasjon How good is a crystal oscillator (XO) ? • Interested in the long-term measurement stability and accuracy • Watch crystal oscillator: about 20 ppm, or worse – Error > 1.73 s in 24 hours (almost 1 minute drift in one month) • The accuracy can be improved using a: – Temperature compensated crystal oscillator (TCXO) – Oven controlled crystal oscillator (OCXO) • the oscillator is enclosed in a temperature controlled oven • Some DAQ card accuracy examples: – TCXO : 1 ppm – OCXO: 50 ppb Chip Scale Atomic Clock (CSAC) • Two orders of magnitude better accuracy than oven-controlled crystal oscillators (OCXOs). • Can keep track of the time if GPS-signals are lost (e.g. inside a building, or due to jamming). • Example: Microsemi CSAC – < 120 mW power consumption – < 17 cm3 volume – 35 g weight – two outputs; a 10 MHz square wave and 1 PPS (Pulse Per Second) The frequency of the TCXO is continuously – Maintains time-of-day (TOD) as a 32-bit compared and corrected to ground state hyperfine frequency of the cesium atoms, unsigned integer which is incremented contained in the “physics package”, which synchronously with the rising edge of the thereby improves the stability and 1 PPS output environmental sensitivity of the TCXO.
    [Show full text]
  • White Paper Precision Clock Synchronization the Standard IEEE
    Hirschmann. Simply a Good Connection. White Paper Precision Clock Synchronization The Standard IEEE 1588 Precision Clock Synchronization – IEEE 1588 White Paper Rev. 1.2 Table of contents Precision Clock Synchronization The Standard IEEE 1588 1 Introduction 3 2 Why time synchronization 3 3 Previous solutions 4 4 PTP applications 4 5 The functional principle of PTP 6 6 Implementation of PTP 7 7 Results 8 8 Cooperation between Hirschmann and the Zurich University of Winterthur 9 9 Further developments 9 10 Summary 10 Annex 1: The PTP protocol in detail 11 Annex 2 – The implementation of PTP in detail 14 Precision Clock Synchronization – IEEE 1588 Rev. 1.2 White Paper 2 / 20 Precision Clock Synchronization The Standard IEEE 1588 1 Introduction Precise time information is especially important for distributed systems in automation technology. With the Precision Time Protocol (PTP) described in IEEE 1588, it is possible to synchronize distributed clocks with an accuracy of less than 1 microsecond via Ethernet networks for the very first time. The demands on the local clocks and the network and computing capacity are relatively low. This White Paper provides you with an overview of the application possibilities and function of the Precision Time Protocol. Further technical information can be found additionally in the annex which explains details of the functional principle and hints on implementing PTP in devices. 2 Why time synchronization We use clocks to synchronize ourselves with persons or processes. The necessary accuracy of the clock depends on the application. Anyone wanting to catch a train has to have his eye on the clock to within a minute.
    [Show full text]