Release 1.0.0 Azavea
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Akka Java Documentation Release 2.2.5
Akka Java Documentation Release 2.2.5 Typesafe Inc February 19, 2015 CONTENTS 1 Introduction 1 1.1 What is Akka?............................................1 1.2 Why Akka?..............................................3 1.3 Getting Started............................................3 1.4 The Obligatory Hello World.....................................7 1.5 Use-case and Deployment Scenarios.................................8 1.6 Examples of use-cases for Akka...................................9 2 General 10 2.1 Terminology, Concepts........................................ 10 2.2 Actor Systems............................................ 12 2.3 What is an Actor?.......................................... 14 2.4 Supervision and Monitoring..................................... 16 2.5 Actor References, Paths and Addresses............................... 19 2.6 Location Transparency........................................ 25 2.7 Akka and the Java Memory Model.................................. 26 2.8 Message Delivery Guarantees.................................... 28 2.9 Configuration............................................. 33 3 Actors 65 3.1 Actors................................................ 65 3.2 Typed Actors............................................. 84 3.3 Fault Tolerance............................................ 88 3.4 Dispatchers.............................................. 103 3.5 Mailboxes.............................................. 106 3.6 Routing................................................ 111 3.7 Building Finite State Machine -
Up up and Out: Scaling Software with Akka
UP UP AND OUT: SCALING SOFTWARE WITH AKKA Jonas Bonér CTO Typesafe @jboner Scaling software with Jonas Bonér CTO Typesafe @jboner ScalingScaling softwaresoftware with with ScalingScaling softwaresoftware with with Akka (Áhkká) The name comes from the goddess in the Sami (native swedes) mythology that represented all the wisdom and beauty in the world. It is also the name of a beautiful mountain in Laponia in the north part of Sweden ScalingScaling softwaresoftware with with Manage System Overload Scale UP & Scale OUT How can we achieve this? How can we achieve this? Let’s use Actors How can we achieve this? What is an Actor? What is an Actor? What is an Actor? • Akka's unit of code organization is called an Actor What is an Actor? • Akka's unit of code organization is called an Actor • Like Java EE servlets and session beans, Actors is a model for organizing your code that keeps many “policy decisions” separate from the business logic What is an Actor? • Akka's unit of code organization is called an Actor • Like Java EE servlets and session beans, Actors is a model for organizing your code that keeps many “policy decisions” separate from the business logic • Actors may be new to many in the Java community, but they are a tried-and-true concept (Hewitt 1973) used for many years in telecom systems with 9 nines uptime Program at a Higher Level Program at a Higher Level Program at a Higher Level • Never think in terms of shared state, state visibility, threads, locks, concurrent collections, thread notifications etc. -
A Software Framework for the Actor Model Focusing on the Optimization of Message Passing
AICT 2018 : The Fourteenth Advanced International Conference on Telecommunications Actor4j: A Software Framework for the Actor Model Focusing on the Optimization of Message Passing David Alessandro Bauer, Juho Mäkiö Department of Informatics and Electronics University of Applied Sciences Emden/Leer Emden, Germany Email: [email protected], [email protected] Abstract—Common actor implementations often use also the Scale Cube by Abbott [6], which describes the three standardized thread pools without special optimization for the dimensions of scalability. message passing. For that, a high-performance solution was To ensure high parallelization, its one benefit to use worked out. The actor-oriented software framework Akka uses multi-core systems. The computer world of the last few internally a ForkJoinPool that is intended for a MapReduce years has been characterized by a change ("The Free Lunch approach. However, the MapReduce approach is not relevant for message passing, as it may lead to significant performance Is Over" [7]) from constantly increasing computing power losses. One solution is to develop a thread pool that focuses on to multi-core systems due to technical limitations. In the message passing. In the implementation of the Actor4j particular, technical progress always lags behind practical framework, the message queue of the actors is placed in requirements (Wirth's law [8]). Up to now, Moore's law was threads to enable an efficient message exchange. The actors are “that the number of transistors available to semiconductor operated directly from this queue (injecting the message), manufacturers would double approximately every 18 to 24 without further ado. -
Geotrellis Documentation Release 1.0.0
GeoTrellis Documentation Release 1.0.0 Azavea Aug 10, 2018 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Changelog................................................8 3.2 Contributing............................................... 27 3.3 Setup................................................... 30 3.4 Quick Start................................................ 31 3.5 Kernel Density.............................................. 33 3.6 Reading GeoTiffs............................................. 40 3.7 Extract-Transform-Load (ETL)..................................... 46 3.8 Core Concepts.............................................. 50 3.9 Using Rasters............................................... 77 3.10 Using Vectors............................................... 94 3.11 Spark and GeoTrellis........................................... 114 3.12 The ETL Tool.............................................. 126 3.13 Extending GeoTrellis Types....................................... 137 3.14 GeoTrellis Module Hierarchy...................................... 142 3.15 Tile Layer Backends........................................... 146 3.16 Vector Data Backends.......................................... 152 3.17 Frequently Asked Questions....................................... 154 3.18 Example Archive............................................. 156 3.19 Architecture Decision Records...................................... 159 3.20 Proj4 Implementation.......................................... 174 3.21 High Performance Scala........................................ -
Reactive Programming with Scala, Lagom, Spark, Akka and Play
Issue October 2016 | presented by www.jaxenter.com #53 The digital magazine for enterprise developers Reactive Programming with Scala, Lagom, Spark, Akka and Play Interview with Scala creator Martin Odersky The state of Scala The Lagom Framework Lagom gives the developer a clear path DevOpsCon 2016: Our mission statement This is how we interpret modern DevOps ©istockphoto.com/moorsky Editorial Reactive programming is gaining momentum “We believe that a coherent approach to systems architec- If the definition “stream of events” does not satisfy your ture is needed, and we believe that all necessary aspects are thirst for knowledge, get ready to find out what reactive pro- already recognized individually: we want systems that are Re- gramming means to our experts in Scala, Lagom, Spark, Akka sponsive, Resilient, Elastic and Message Driven. We call these and Play. Plus, we talked to Scala creator Martin Odersky Reactive Systems.” – The Reactive Manifesto about the impending Scala 2.12, the current state of this pro- Why should anyone adopt reactive programming? Because gramming language and the technical innovations that await it allows you to make code more concise and focus on im- us. portant aspects such as the interdependence of events which Thirsty for more? Open the magazine and see what we have describe the business logic. Reactive programming means dif- prepared for you. ferent things to different people and we are not trying to rein- vent the wheel or define this concept. Instead we are allowing Gabriela Motroc, Editor our authors to prove how Scala, Lagom, Spark, Akka and Play co-exist and work together to create a reactive universe. -
Lightweight Affinity and Object Capabilities in Scala
http://www.diva-portal.org Postprint This is the accepted version of a paper presented at ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA). Citation for the original published paper: Haller, P., Loiko, A. (2016) LaCasa: Lightweight Affinity and Object Capabilities in Scala. In: Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (pp. 272-291). Association for Computing Machinery (ACM) https://doi.org/10.1145/3022671.2984042 N.B. When citing this work, cite the original published paper. © Author | ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, http://dx.doi.org/10.1145/3022671.2984042. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-197902 LACASA: Lightweight Affinity and Object Capabilities in Scala Philipp Haller Alex Loiko KTH Royal Institute of Technology, Sweden Google, Sweden ∗ [email protected] [email protected] Abstract difficulty of reasoning about program behavior and software Aliasing is a known source of challenges in the context of architecture [3], and it can introduce data races in concur- imperative object-oriented languages, which have led to im- rent programs. These observations have informed the devel- portant advances in type systems for aliasing control. How- opment of a number of type disciplines aimed at providing ever, their large-scale adoption has turned out to be a surpris- static aliasing properties, such as linear types [33, 51, 64], ingly difficult challenge. -
Comparing Languages for Engineering Server Software: Erlang, Go, and Scala with Akka
Comparing Languages for Engineering Server Software: Erlang, Go, and Scala with Akka Ivan Valkov, Natalia Chechina, and Phil Trinder School of Computing Science, University of Glasgow G12 8RZ, United Kingdom [email protected], {Natalia.Chechina, Phil.Trinder}@glasgow.ac.uk Abstract functional or object-oriented, with high-level coordination models, Servers are a key element of current IT infrastructures, and must e.g. actors as in Erlang [2] or a process algebra as in Go [6]. Indeed, often deal with large numbers of concurrent requests. The program- the success of some server-based companies is even attributed to ming language used to construct the server has an important role their use of specific languages. As examples WhatsApp’s success in engineering efficient server software, and must support massive is attributed to their use of Erlang [27]; the video streaming leader concurrency on multicore machines with low communication and Twitch uses Go to serve millions of users a day [13]. Research synchronisation overheads. contributions of this paper include the following: This paper investigates 12 highly concurrent programming lan- • A survey of programming language characteristics relevant for guages suitable for engineering servers, and analyses three repre- servers (Section 2.1). sentative languages in detail: Erlang, Go, and Scala with Akka. • The design and implementation of three benchmarks to analyse We have designed three server benchmarks that analyse key per- the multicore server capabilities of Erlang, Go, and Scala with formance characteristics of the languages. The benchmark results Akka (Section 3). suggest that where minimising message latency is crucial, Go and Erlang are best; that Scala with Akka is capable of supporting the • An evaluation of Erlang, Go, and Scala with Akka for key largest number of dormant processes; that for servers that frequently server capabilities, i.e. -
Release 3.0.0 Azavea
GeoTrellis Documentation Release 3.0.0 Azavea Dec 08, 2020 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Contributing...............................................8 3.2 Setup................................................... 15 3.3 Quick Start................................................ 16 3.4 Kernel Density.............................................. 18 3.5 Reading GeoTiffs............................................. 24 3.6 Core Concepts.............................................. 30 3.7 Using Rasters............................................... 58 3.8 Using Vectors............................................... 76 3.9 Spark and GeoTrellis........................................... 96 3.10 Ingesting Imagery with GeoTrellis.................................... 108 3.11 The Pipeline Tool (an alternative ETL tool)............................... 110 3.12 Extending GeoTrellis Types....................................... 116 3.13 GeoTrellis Module Hierarchy...................................... 121 3.14 Tile Layer Backends........................................... 128 3.15 Vector Data Backends.......................................... 134 3.16 Frequently Asked Questions....................................... 135 3.17 Example Archive............................................. 138 3.18 Architecture Decision Records...................................... 141 3.19 Proj4 Implementation.......................................... 156 3.20 High Performance Scala......................................... 157 3.21 -
Proceedings of the 2018 Conference on Adding Value and Preserving Data
Conference Proceedings RAL-CONF-2018-001 PV2018: Proceedings of the 2018 conference on adding value and preserving data Harwell, UK 15th-17th May, 2018 Esther Conway (editor), Kate Winfield (editorial assistant) May 2018 ©2018 Science and Technology Facilities Council This work is licensed under a Creative Commons Attribution 4.0 Unported License. Enquiries concerning this report should be addressed to: RAL Library STFC Rutherford Appleton Laboratory Harwell Oxford Didcot OX11 0QX Tel: +44(0)1235 445384 Fax: +44(0)1235 446403 email: [email protected] Science and Technology Facilities Council reports are available online at: http://epubs.stfc.ac.uk ISSN 1362-0231 Neither the Council nor the Laboratory accept any responsibility for loss or damage arising from the use of information contained in any of their reports or in any communication about their tests or investigations. Proceedings of the 2018 conference on adding value and preserving data This publication is a Conference report published by the This publication is a Conference report published by the Science and Technology (STFC) Library and Information Service. The scientific output expressed does not imply a policy position of STFC. Neither STFC nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. Contact information Name: Esther Conway Address: STFC, Rutherford Appleton Laboratory Harwell, Oxon, UK Email: [email protected] Tel.: +44 01235 446367 STFC https://www.stfc.ac.uk RAL-CONF-2018-001 ISSN- 1362-0231. Preface The PV2018 Conference welcomes you to its 9th edition, to be held 15th – 17th May 2018 at the Rutherford Appleton Laboratory, Harwell Space Cluster (UK), hosted by the UK Space Agency and jointly organised by STFC, NCEO and the Satellite Applications Catapult. -
Akka Java Documentation Release 2.2.4
Akka Java Documentation Release 2.2.4 Typesafe Inc March 04, 2014 CONTENTS 1 Introduction 1 1.1 What is Akka?............................................1 1.2 Why Akka?..............................................3 1.3 Getting Started............................................3 1.4 The Obligatory Hello World.....................................7 1.5 Use-case and Deployment Scenarios.................................8 1.6 Examples of use-cases for Akka...................................9 2 General 10 2.1 Terminology, Concepts........................................ 10 2.2 Actor Systems............................................ 12 2.3 What is an Actor?.......................................... 14 2.4 Supervision and Monitoring..................................... 16 2.5 Actor References, Paths and Addresses............................... 19 2.6 Location Transparency........................................ 25 2.7 Akka and the Java Memory Model.................................. 26 2.8 Message Delivery Guarantees.................................... 28 2.9 Configuration............................................. 33 3 Actors 65 3.1 Actors................................................ 65 3.2 Typed Actors............................................. 84 3.3 Fault Tolerance............................................ 88 3.4 Dispatchers.............................................. 103 3.5 Mailboxes.............................................. 106 3.6 Routing................................................ 111 3.7 Building Finite State Machine -
Operations Hub Open Source Software List
GE Operations Hub Open Source Software List (for Version 1.7) In accordance with certain software license terms, the General Electric Company (“GE”) makes available the following software package installations. This code is provided to you on an “as is” basis, and GE makes no representations or warranties for the use of this code by you independent of any GE provided software or services. Refer to the licenses and copyright notices files for each package for any specific license terms that apply to each software bundle, associated with this product release. NOTE: These software package versions may change or be removed as needed for updates to this product. Copyright © 2018 General Electric Company. All rights reserved. Page 1 of 67 Software Name & Company Link License Name & Copyright Version Version (by Component) HikariCP https://github.com/brettwooldr Apache 2.0 3.4.2 idge/HikariCP Not found MsSql Jdbc 7.4.1.jre8 Copyright(c) 2019 Microsoft MIT https://www.microsoft.com/ Corporation snakeyaml http://www.snakeyaml.org Copyright (c) 2008, Apache License 2.0 1.2.6 http://www.snakeyaml.org COMMON DEVELOPMENT HK2 Class-Model 2.5.0-b06 https://javaee.github.io/glassfish/ AND DISTRIBUTION LICENSE Copyright (c) 2010-2015 Oracle and/or (CDDL) Version 1.1 its affiliates. All rights reserved. https://code.google.com/archive/p/ Copyright (C) 2003-2013 Virginia Tech. VT Crypt Library 2.1.4 Apache License 2.0 vt-middleware/ All rights reserved. https://code.google.com/archive/p/ Copyright (C) 2003-2013 Virginia Tech. VT Dictionary Libraries 3.0 Apache License 2.0 vt-middleware/ All rights reserved. -
Akka Documentation Release 2.1.4
Akka Documentation Release 2.1.4 Typesafe Inc May 14, 2013 CONTENTS 1 Introduction 1 1.1 What is Akka?............................................1 1.2 Why Akka?..............................................3 1.3 Getting Started............................................4 1.4 Use-case and Deployment Scenarios.................................7 1.5 Examples of use-cases for Akka...................................7 2 General 9 2.1 Terminology, Concepts........................................9 2.2 Actor Systems............................................ 11 2.3 What is an Actor?.......................................... 13 2.4 Supervision and Monitoring..................................... 15 2.5 Actor References, Paths and Addresses............................... 18 2.6 Location Transparency........................................ 24 2.7 Akka and the Java Memory Model.................................. 25 2.8 Message Delivery Guarantees.................................... 27 2.9 Configuration............................................. 31 3 Common utilities 51 3.1 Duration............................................... 51 3.2 Circuit Breaker............................................ 52 4 Java API 56 4.1 Actors (Java)............................................. 56 4.2 Typed Actors (Java)......................................... 70 4.3 Logging (Java)............................................ 75 4.4 Event Bus (Java)........................................... 79 4.5 Scheduler (Java)........................................... 82 4.6 Futures