From user-return-8097-archive-asf-public=cust-asf.ponee.io@uima.apache.org Fri Apr 26 15:37:40 2019 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [207.244.88.153]) by mx-eu-01.ponee.io (Postfix) with SMTP id A97E018064C for ; Fri, 26 Apr 2019 17:37:39 +0200 (CEST) Received: (qmail 65825 invoked by uid 500); 26 Apr 2019 15:37:38 -0000 Mailing-List: contact user-help@uima.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@uima.apache.org Delivered-To: mailing list user@uima.apache.org Received: (qmail 65792 invoked by uid 99); 26 Apr 2019 15:37:37 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 26 Apr 2019 15:37:37 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id 51D3FC2AC9; Fri, 26 Apr 2019 15:37:37 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 0.972 X-Spam-Level: X-Spam-Status: No, score=0.972 tagged_above=-999 required=6.31 tests=[RCVD_IN_DNSWL_NONE=-0.0001, SPF_SOFTFAIL=0.972] autolearn=disabled Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id PbJnV1loVHsv; Fri, 26 Apr 2019 15:37:35 +0000 (UTC) Received: from dnvrco-cmomta01.email.rr.com (dnvrco-outbound-snat.email.rr.com [107.14.73.231]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTPS id 7A1B561273; Fri, 26 Apr 2019 15:37:35 +0000 (UTC) Received: from [192.168.86.204] ([98.122.171.97]) by cmsmtp with ESMTPA id K2ukhF38CP088K2umhf7V8; Fri, 26 Apr 2019 15:37:29 +0000 Reply-To: user@apache.org To: uima-user@apache.org, uima-dev@apache.org, announce@apache.org From: Jerry Cwiklik Subject: [ANNOUNCE] Apache UIMA-DUCC 3.0.0 released Organization: Apache Message-ID: Date: Fri, 26 Apr 2019 11:37:27 -0400 User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Thunderbird/60.6.1 MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit Content-Language: en-US X-CMAE-Envelope: MS4wfA/oLmMagORmT3frZXTq5amOIaKpNviwH+MT0AjBKvcj4VjHj4WaNltODmyKYPnnXLB0V5PhraUPadUfyV0r+MPRxu50/V3DwlLOAw3ImtwSsje8XwBh ZTTVwB1nCR9X0WORcT1qR480HlkqCCbGc2/9SO4Z0AjxTqNIDkcfO1u5PXox2ipJ+mGY2h6MtfJd3N36ZZYFTeDQMIQqgjSdVSDaqXB3yLGUqgGfR6SdJxVa g2rW8LxXFQdR0X8c6dKl0w== The Apache UIMA team is pleased to announce the release of Apache UIMA-DUCC version 3.0.0 You can download it from here: http://uima.apache.org/downloads.cgi DUCC stands for Distributed UIMA Cluster Computing. DUCC is a cluster management system providing tooling, management, and scheduling facilities to automate the scale-out of applications written to the UIMA framework. Core UIMA provides a generalized framework for applications that process unstructured information such as human language, but does not provide a scale-out mechanism. UIMA-AS provides a scale-out mechanism to distribute UIMA pipelines over a cluster of computing resources, but does not provide job or cluster management of the resources. DUCC defines a formal job model that closely maps to a standard UIMA pipeline. Around this job model DUCC provides cluster management services to automate the scale-out of UIMA pipelines over computing clusters. It is primarily intended to be used for research and development activities where multiple users need to efficiently share cluster resources for a wide variety of computational activities. Because DUCC is built for UIMA-based analytics from the ground up it automatically makes available such details as what annotators are currently initializing as well as the timing breakdown for each primitive annotator in a pipeline. The Unstructured Information Management Architecture (UIMA) is a component framework supporting development, discovery, composition, and deployment of multi-modal analytics tasked with the analysis of unstructured information. More information about DUCC is here: https://uima.apache.org/d/uima-ducc-3.0.0/duccbook.html This release contains number of improvements and bug fixes. Notable updates in this release include: - Support for UIMA v2 and v3 - Created new pull service that can be run with or without DUCC - Enable DUCC to run without shared file system - Add new DUCC stop options, including quiesce - Add "CASes processed" to annotator performance metrics - Upgraded to Cassandra Server v.3.11.3, Cassandra Driver v.3.6.0, Jetty v.9.4.14.v20181114, guava v.18.0, joda v.2.4, commons.lang v.3.1, commons.math v.3.2, netty v.4.0.44, snappy v.1.1.1.7 - Other bug fixes For a complete list of bugs and improvements included in this release please see https://issues.apache.org/jira/browse/UIMA-6019?jql=project%20%3D%20UIMA%20AND%20fixVersion%20%3D%20%223.0.0-Ducc%22%20 Please send feedback via the Apache UIMA project mailing lists. -- Jerry Cwiklik, for the Apache UIMA development team