Credits : Infoq

 Key Takeaways

  • In enterprise test scenarios, software needs to be tested in the same way as it will run in production, in order to ensure that it will work as expected.
  • A common challenge is that microservice applications directly or indirectly depend on other services that need to be orchestrated within the test scenario.
  • This article shows how container orchestration provides an abstraction over service instances and facilitates in replacing them with mock instances.
  • Additionally, service meshes enable us to re-route traffic and inject faulty responses or delays to verify our services’ resiliency.
  • The article contains sample code from an accompanying example Java-based coffee shop application deployed to and tested on Kubernetes and Istio.

In enterprise test scenarios, software needs to be tested in the same way as it will run in production, in order to ensure that it will work as expected. A common challenge is that microservice applications directly or indirectly depend on other services that need to be orchestrated within the test scenario.

This article shows how container orchestration provides an abstraction over service instances and facilitates in replacing them with mock instances. On top of that, service meshes enable us to re-route traffic and inject faulty responses or delays to verify our services’ resiliency.

We will use a coffee shop example application that is deployed to a container orchestration and service mesh cluster. We have chosen Kubernetes and Istio as example environment technology.

Test Scenario

Let’s assume that we want to test the application’s behavior without considering other, external services. The application runs in the same way and is configured in the same way as in production, so that later on we can be sure that it will behave in exactly the same way. Our test cases will connect to the application by using its well-defined communication interfaces.

External services, however, should not be part of the test scenario. In general, test cases should focus on a single object-under-test and mask out all the rest. Therefore, we substitute the external services with mock servers.

Container Orchestration

Reconfiguring the application to use the mock servers instead of the actual backends contradicts the idea of running the microservice in the same way as in production, since this would chance configuration. However, if our application is deployed to a container orchestration cluster, such as Kubernetes, we can use the abstracted service names as configured destinations and let the cluster resolve the backend service instances.

The following example shows a gateway class that is part of the coffee shop application and connects against the coffee-processor host on port 8080.

public class OrderProcessor {

    // definitions omitted ...

    @PostConstruct
    private void initClient() {
        final Client client = ClientBuilder.newClient();
        target = client.target("http://coffee-processor:8080/processes");
    }

   @Transactional(Transactional.TxType.REQUIRES_NEW)
    public void processOrder(Order order) {
        OrderStatus status = retrieveOrderStatus(order);
        order.setStatus(status);
        entityManager.merge(order);
    }

    // ...

    private JsonObject sendRequest(final JsonObject requestBody) {
        Response response = target.request()
               .buildPost(Entity.json(requestBody))
                .invoke();

        // ...

        return response.readEntity(JsonObject.class);
    }

    // definitions omitted ...
}

This host name is resolved via the Kubernetes cluster DNS and this will direct traffic to one of the running processor instances. The instance that backs the coffee-processor service, however, will be a mock server, WireMock in our example. This substitution is transparent to our application.

The system test scenario not only connects against the application to invoke the desired business use case, but will also communicate with the mock server, on a separate admin interface, to control its response behavior and to verify whether the application invoked the mock in the correct way. It is the same idea as for class-level unit tests, usually realized by JUnit and Mockito.

 

 

External Services

This setup allows us to mock and control services that run inside of our container orchestration cluster. But what if the external service is outside of the cluster?

In general, we can create a Kubernetes service without selectors that points to an external IP, and rewrite our application to always use that service name which is resolved by the cluster. By doing so, we define a single point of responsibility, where the service will route to.

The following code snippet shows an external Kubernetes service and endpoints definition which routes coffee-shop-db to an external IP address 1.2.3.4:

kind: Service
apiVersion: v1
metadata:
  name: coffee-shop-db
spec:
  ports:
  - protocol: TCP
    port: 5432
---

kind: Endpoints
apiVersion: v1
metadata:
  name: coffee-shop-db
subsets:
  - addresses:
      - ip: 1.2.3.4
    ports:
      - port: 5432

Within different environments, the service might route to different database instances.

Service Meshes

Service meshes enable us to transparently support technical cross-cutting communication concerns to microservices. As of today, Istio is one of the most-used service mesh technology. It adds sidecar proxy containers, co-located with our application containers, which implement these additional concerns. The proxy containers also allow to purposely manipulate or slow down connection for resiliency testing purposes.

In a end-to-end test, we can introduce faulty or slow responses to verify whether our applications handles these faulty situations properly.

The following code snippet shows an Istio virtual service definition that annotates the route to coffee-processor with a 3 second delay for 50% and failures for 10% of the responses.

apiVersion: networking.istio.io/v1alpha3
kind: VirtualService
metadata:
  name: coffee-processor
spec:
  hosts:
  - coffee-processor
  http:
  - route:
    - destination:
        host: coffee-processor
        subset: v1
    fault:
      delay:
        fixedDelay: 3s
        percent: 50
      abort:
        httpStatus: 500
        percent: 10
---

apiVersion: networking.istio.io/v1alpha3
kind: DestinationRule
metadata:
  name: coffee-processor
spec:
  host: coffee-processor
  subsets:
  - name: v1
    labels:
      version: v1

Now, we can run additional tests and verify how our application reacts to these increased response times and failure situations.

Besides the possibility to inject faulty responses, service mesh technology also allows to add resiliency from the environment. Proxy containers can handle timeouts, implement circuit breakers and bulkheads without requiring the application to handle these concerns.

Conclusion

Container orchestration and service meshes improve the testability of microservice applications by extracting concerns from the application into the operational environment. Service abstractions implement discovery and allow us to transparently substitute services or to re-route. Service meshes not only allow more complex routing but also allow us to inject failures or slow responses in order to put our applications under pressure and verify their corresponding behavior.

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Credits : Techrepublic

 

As of PHP 7.1, the php-mcrypt was deprecated. And as of PHP 7.2 it was completely removed. This is a problem, since a number of server software titles still depend upon this encryption tool. And because software like Nextcloud, ownCloud, and many more have yet to shift that dependency, you might find yourself unable to install without mcrypt on the system. What do you do? No matter how many times you run either apt-get install php-mcrypt or yum install php-mcrypt, it won’t work.

Fortunately, there’s a solution. Said solution falls onto the shoulders of the pecl command. PECL is the PHP Extension Community Library, which serves as a repository for PHP extensions. Through this repository, you can install mcrypt.

What is mcrypt?

The mcrypt extension is a replacement for the UNIX cryptcommand. These commands serve as a means to encrypt files on UNIX and Linux systems. The php-mcrypt extension serves as an interface between PHP and mcrypt.

Getting mcrypt installed

I’m going to walk you through the process of getting mcrypt installed on Ubuntu Server 16.04. It’s not challenging once you have the necessary dependencies added to your system. With mcrypt installed, you can continue with the installation of the software that depends upon this extension.

With that said, how do we install mcrypt? First, open up a terminal window and install the necessary dependencies with the commands:

sudo apt-get -y install gcc make autoconf libc-dev pkg-config
sudo apt-get -y install php7.2-dev
sudo apt-get -y install libmcrypt-dev

Once the dependencies have been installed, you can install mcrypt with the command:

sudo pecl install mcrypt-1.0.1

And there you go. Mcrypt is now installed. Go back to the process of installing whatever server software that depends upon this extension and you should be good to go.

Not gone, just moved

Don’t worry: mcrypt is not gone. It’s just been moved out of PHP and into PECL. But for those who have been installing via php-mcrypt for years, this makes for a pretty big shift. Now, instead of being able to install mcrypt with a single command, you have four to deal with. Even so, at least you still have mcrypt available. Eventually, however, I believe the mcrypt dependency will be migrated to another tool (such as OpenSSL).

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Credits : Thebusinesstactics

 

The largest geographic markets by consumption in the information technology market are the Americas, Asia and Europe. The Americas was the largest region in the information technology market in 2016, accounting for 39.0% market share.

The Information Technology Global Market Briefing provides strategists, marketers and senior management with the critical information they need to assess the information technology market.

Reasons to Purchase:

  • Outperform competitors using accurate up to date demand-side dynamics information.
    Identify growth segments for investment.
  • Facilitate decision making on the basis of historic and forecast data and the drivers and restraints on the market.
  • Develop strategies based on likely future developments.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis.
  • Gain a global perspective on the development of the market.
  • The market characteristics section of the report defines and explains the market.

    The market size section gives the information technology market revenues, covering both the historic growth of the market and forecasting the future.

    Comparison With Other Markets section outlines the information technology market share among the other manufacturing markets.

    Historic and Forecast Growth Comparison With Other Markets section compares the information technology markets historic and forecast growth rate with other manufacturing markets.

    Drivers and restraints looks at the external factors supporting and controlling the growth of the market.

  • Market segmentations break down the key sub sectors which make up the market. The regional breakdowns section gives the size of the market geographically.

    Competitive landscape gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in the last three years are identified.

    The trends and strategies section highlights the likely future developments in the information technology market and suggests approaches.

  • Scope of the Report:

    Markets covered: Telecommunications, IT Services, Software Publishers, Computer Hardware Companies mentioned: Apple, AT&T, Verizon, Amazon, Hewlett-Packard, Microsoft, IBM, Google, Comcast, Intel

    Geographic scope: Americas, Europe, Asia, Middle East and Africa, Oceania.

    Time series: Five years historic and forecast.

    Data: Market value in $ billions.

    Data Segmentation: Regional breakdowns, market share of competitors, key sub segments.

    Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.

  • The information technology (IT) industry deals with the application of computers, computer peripherals and telecommunications equipment to store, retrieve, transmit and maneuver data. It involves computer networking, broadcasting, systems design services and information distribution technologies like television and telephones.

    The largest geographic markets by consumption in the information technology market are the Americas, Asia and Europe. The Americas was the largest region in the information technology market in 2016, accounting for 39.0% market share. Asia and Europe were the second and third largest region accounting nearly 27% and 25% market share respectively.

    Over the past five years there has been an increasing prevalence of low cost open source alternatives. Open source has become a preferred platform for developing new technology. In the past, software publishers would open source software that was not making money, but now companies are open sourcing software to increase its presence and share in the market. According to Allison Randal, President, Open Source Initiative, 78% of companies use open source solutions and 64% participate in open source projects indicating an increase in open source software platforms to build applications in 2015.

    About Us:

    Industrydataanalytics provides syndicated Market research reports to industries, organizations or even individuals with an aim of helping them in their decision making process.

    Industrydataanalytics has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

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Credits : Eurekalert

 

An open-source movement simulator that has already helped solve problems in medicine, paleontology, and animal locomotion has been expanded and improved, according to a new publication in the open-access journal PLOS Computational Biology. The software, called OpenSim, has been developed by a team at Stanford University, led by first authors Ajay Seth, Jennifer Hicks, and Thomas Uchida, with contributions from users around the world. The new paper reviews the software’s wide range of applications and describes the improvements that can increase its utility even further.

The major challenges in creating movements “in silico” include formulating the underlying mathematical equations and ensuring the solution is accurate when calculating variables that are difficult to measure experimentally, such as the metabolic consumption of individual muscles and the stretch and recoil of tendons during movement. Physics-based models enable prediction of novel movements, both adaptive and maladaptive, such as excess hip rotation in response to leg muscle weakness. OpenSim combines methods from biology, neuroscience, mechanics, and robotics to address these challenges and create fast and accurate simulations of movement.

OpenSim has already been put to use determining whether Australopithecus afarensis had sufficient grip strength to make certain tools, based on fossilized bone discoveries; developing strategies to prevent ankle injuries during athletic performance; and optimizing a wearable robotic device for long jumps. Additional applications include predicting the locomotion patterns of extinct species and planning tendon-lengthening surgery for children with cerebral palsy.

Recent improvements include addition of more accurate models of muscle dynamics, joint kinematics, and assistive devices, which will aid in rehabilitation studies; the ability to create custom studies by combining existing tools in new ways; tools for importing motion-capture data in order to test simulations against experiments; and modern visualization tools for creating insightful animations of movement.

“The software is like a Swiss Army knife for the movement scientist,” said the lead authors. “It allows researchers with no special expertise in biomechanics to perform powerful and accurate simulations to test hypotheses, visualize solutions to problems, and communicate ideas. Because it incorporates decades of research about how humans and other animals move, and is constantly being augmented and enhanced by the community of users from so many different fields, OpenSim can accelerate discoveries in any field in which biological movement plays a role.”

Citation: Seth A, Hicks JL, Uchida TK, Habib A, Dembia CL, Dunne JJ, et al. (2018) OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. PLoS Comput Biol 14(7): e1006223. https://doi.org/10.1371/journal.pcbi.1006223

Funding: This work was supported by a) the National Institutes of Health through grants U54 GM072970, R24 HD065690, P2C HD065690, U54 EB020405, R01 HD033929, R01 NS055380, R01 HD046814, and R01 HD046774; b) Defense Advanced Research Projects Agency (DARPA) contracts, including W911QX-12-C-0018 and HR0011-12-C-0111, via subcontract 12-006 from Open Source Robotics Foundation, and c) European Commission grant FP7-ICT-248189. JLH and CLD received support from the National Science Foundation Graduate Fellowship Program; JLH, CLD, CFO, EMA, and JRY received support from the Stanford (University) Bio-X Graduate Fellowship; and CFO received support from the Siebel Scholars Program . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Credits : Mysanantonio

 

The Google Cloud Next 18 conference got underway on Tuesday and Dr. Fei Fei Li, Google’s chief AI scientist demonstrated a new AI system called Google Contact Center AI. This is designed to be the next generation of automated customer-service voices.

Li took the audience through a demonstration, showing off a system that deftly understood natural language and quickly responded to questions with pertinent answers. The software and human on the phone had what sounded like a normal conversation between a customer and a customer-service rep. It appears the days of keying into our handsets 1 for yes, and 2 for no may soon be a thing of the past.

The presentation echoed a similar demo at I/O this year. That’s when Google CEO Sundar Pichai showed off Duplex, the restaurant-booking digital assistant that sounded so human that people speaking to it on the phone were unaware they were talking to an automated system.

That freaked out some journalists and technology ethicists. The company was criticized for using a technology that could fool humans or snatch away jobs. This time, Li seemed intent on making sure that everyone understood that Google’s AI is not intended to put humans out of work.

“Contact Center AI is an example for our passion for bringing AI to every industry all the while elevating the role of human talent,” Li told the audience. “We’re creating technology that’s not just powerful but that’s also trustworthy.”

Google’s management has said that AI is core to the company’s future and mission and leaders are trying to exploit it in retail, autonomous cars, search and advertising. Wall Street analysts have begun to predict big future earnings as a result of AI.

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Credits : Digitaljournal

 

To grow at the Highest CAGR Increasing Demand of Global Robot Software Market Analysis & Forecasts Report By 2023 Along with Top Key Players like IBM, ABB, Nvidia, Cloud minds, Liquid Robotics, Brain Corp

This press release was orginally distributed by SBWire

Pune, India — (SBWIRE) — 07/23/2018 — The Research Report “Global Robot Software Market” on the basis of software types, robot types, deployment models, organization sizes, verticals, and regions. The report analyzes the major factors influencing the market growth, such as drivers, restraints, opportunities, and challenges. It aims to strategically analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the market.

“The Global Robot Software Market is expected to grow from USD 1,142.2 Million in 2017 to USD 7,527.1 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 45.8%.”

The report provides detailed insights into the Global Robot Software Market based on software types, robot types, deployment models, organization sizes, verticals, and regions. Among the software types, recognition software is expected to have the largest market size during the forecast period. This software is integrated behind the robots that offer them the cognitive ability to recognize the object and respond to them appropriately.

Some prominent players in the Global Robot Software Market are IBM, ABB, Nvidia, Cloud minds, Liquid Robotics, Brain Corp, Aibrain, Furhat Robotics, Neurala, Energid Technologies, H2o AI, Oxbotica.

In the end, the world Robot Software industry report delivers high-level information both in terms of quality and quantity. It also gives a summary of the Robot Software vendor, dealer, contributors to the Robot Software market together with research findings, data source, and appendix.

The report gives in depth industry analysis on Robot Software Market. It helps in visualizing the composition of the market across each indication, in terms of type and applications, highlighting the key commercial assets and players. Report Pinpoint growth sectors and identify factors driving change.

Table of Content:
Chapter 1 Robot Software Market Overview
Chapter 2 Global Economic Impact on Robot Software Market Industry
Chapter 3 Global Robot Software Market Competition by Manufacturers
Chapter 4 Global Robot Software Production, Revenue (Value) by Region (2017-2022)
Chapter 5 Global Robot Software Supply (Production), Consumption, Export, Import by Regions (2017-2022)
Chapter 6 Global Robot Software Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Robot Software Market Analysis by Application
Chapter 8 Robot Software Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders

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Credits : Timesunion

 

Called Routefinder PLUS, the browser-based software platform was created in conjunction with ESRI, a Redlands, Calif. software company that speciaizes in geographic information system software.

Civitella announced the public launch of Routefinder PLUS at the New York Association for Pupil Transportation’s annual conference in Albany on Monday. The announcement also came at the same time that the STN EXPO Conference and Trade Show was going on in Reno, Nev., another big transportation conference Civitella was planning to attend.

Civitella, who wrote the code for Transfinder’s first version of Routefinder decades ago, said that about a year ago he named himself project manager of the new Routefinder PLUS version, which he said is unusual for a CEO to do.

Transfinder’s coding teams in Schenectady and China worked together on the new version. The company has been testing the new Routefinder PLUS with customers and getting feedback on potential changes.

“We’re coding 24 hours a day,” Civitella said. “I’m very involved.”

Transfinder has 100 local employees and posted $13.67 million in revenue in 2017. Routefinder PLUS is expected to grow both numbers.

“It is impossible to overstate how significant this product is not only to Transfinder as the global leader in routing software, but to the industry at large,” Civitella said.

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Credits : Markets.businessinsider

 

According to a new market report published by Transparency Market Research, the global accounting software market was valued at US$ 5,715.9 Mn in 2017 and is expected to reach US$ 11,771.6 Mn by 2026, expanding at a CAGR of 8.6% from 2018 to 2026. According to the report, North America was a prominent contributor in terms of revenue to the global accounting software market in 2017. This is primarily due to the integration of accounting software with smartphones, tablets, and computers across the region.

Demand for compelling user-interfaces is driving the global accounting software market

Most accounting software/systems currently in use are becoming obsolete as they lack technological competitiveness, as compared to the new comprehensive models that possess the ability to take care of various operations simultaneously. This creates a favorable environment for the overall expansion of the accounting software market, in terms of an upgrade.

Accounting software tops at analyzing business practices, and it helps rapidly identify cash flows in an operation. It is a software that manages all financial transactions and has extensive data at its disposal in order to generate various reports. The reporting options are virtually unlimited, depending on the type of software that is used. Additionally, using accounting software also helps save money and time and offers valuable insights into the business. Furthermore, a significant expectation from accounting software presently is that the user-interface needs to be more engaging and is expected to provide a near consumer-like experience. This is a key factor that is anticipated to boost the accounting software market.

Accounting Software Market: Scope of the Report

The global market for accounting software can be segmented based on deployment, software type, application, enterprise size, industry, and geographic regions. In terms of deployment, the market can be classified into Software as a Service (SaaS), on-premise, and hybrid. The Software as a Service (SaaS) segment is anticipated to hold a prominent share of the accounting software market, in terms of revenue, by the end of 2018. Based on software type, the market can be divided into commercial off-the-shelf, enterprise accounting software, custom accounting software, reconciliation, and tax management.
The enterprise accounting software segment is projected to hold a notable share of the market by the end of 2018. However, the tax management segment is estimated to expand at a significant pace during the forecast period. Furthermore, based on application, the global accounting software market can be categorized into payroll management systems, billing & invoice system, enterprise resource planning systems, time & expense management systems, and others. The time & expense management systems segment is expected to expand at a significant growth rate in the near future. In terms of enterprise size, the market can be classified into small and medium, and large enterprise.

The large enterprise segment is likely to account for a major share of the market during the forecast period due to the fact that large enterprises prefer accounting software as compared to the traditional accounting methods, as it saves time and accounting can be performed easily with less manpower. Based on industry, the accounting software market can be split into banking, financial services, and insurance; telecom and information & technology (IT); manufacturing, construction, wholesale distribution, non-profit organizations, chemicals, food and beverage, and others. The banking, financial services, and insurance segment is expected to hold a considerable share of the market during the forecast period.

Global Accounting Software Market: Competitive Dynamics

Players in the accounting software market are partnering with other technology companies in order to expand their market presence. The global accounting software market includes different players such as Oracle (NetSuite), Sage Group Plc., Workday, Inc., Zeta Software LLC, Infor, Inc., Microsoft Corporation, SAP SE, Intuit Inc., Epicor Software Corporation, Xero Ltd., Red Wing Software Inc., Zoho Corporation, MRI Software, AccountMate Software Corporation, and Acumatica Inc.

The accounting software market has been segmented as below:

Market Segmentation: Global Accounting Software Market

By Deployment

  • Software as a Service (SaaS)
  • On-Premise
  • Hybrid

By Software Type

  • Commercial off-the-shelf
  • Enterprise Accounting Software
  • Custom Accounting Software
  • Reconciliation
  • Tax Management

By Application

  • Payroll Management Systems
  • Billing & Invoice System
  • Enterprise Resource Planning Systems
  • Time & Expense Management Systems
  • Others

By Enterprise Size

  • Large Enterprise
  • Small and Medium

By Industry

  • Banking, Financial Services, and Insurance
  • Telecom and Information & Technology(IT)
  • Manufacturing
  • Construction
  • Wholesale Distribution
  • Non-Profit Organizations
  • Chemicals
  • Food and Beverage
  • Others
  • About Us

    Transparency Market Research is a next-generation market intelligence provider, offering fact-based solutions to business leaders, consultants, and strategy professionals.

    Our reports are single-point solutions for businesses to grow, evolve, and mature. Our real-time data collection methods along with ability to track more than one million high growth niche products are aligned with your aims. The detailed and proprietary statistical models used by our analysts offer insights for making right decision in the shortest span of time. For organizations that require specific but comprehensive information we offer customized solutions through adhoc reports. These requests are delivered with the perfect combination of right sense of fact-oriented problem solving methodologies and leveraging existing data repositories.

    TMR believes that unison of solutions for clients-specific problems with right methodology of research is the key to help enterprises reach right decision.

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Credits : Trueindustrynews

 

The Conference software is for real-time communication. This action allows multiple computer users with Internet subscriptions to view the browser’s existing screen. With the Full-motion video, voice over IP and texting are some of the greatest traditional linkage services used internationally. Web conferencing techniques decrease geographic fences for commercial teams. Easy access to join with the globe boost the complete market development.

Conference Software Market is expected to grow at a CAGR of +9% during the forecast period 2018-2023

The report on the Global Conference Software Market produces the complete analysis through numerous types and provides comprehensive explanation of the properties, and some other details. The report has been prepared based on a thorough market examination with efforts from industry professionals. The study also provides business policies and strategies of the key players working in the market over the globe.

Top Key Vendors:

Cvent, Weemss, EventGeek, BusyConf, ConfTool, Zakon Group, Omnipress, Ex Ordo, Firebird Conference Systems, Kinetic Software, PKP, EBD Group, Apache Software Foundation.

 The Conference Software Market report provides a vital diagram of the business accompanied by, characterizations, industry chain structure, and definitions applications. In consideration of the stated evaluation period, the report is specifically registered to provide the information the customer expects and takes into account all data every year. All vision, wide-ranging data and metrics are professionally built and personalized to your demand for business assistances.

Conference Software Market is segmented on the basis of key type, sector and geography. On the basis of type market is segmented into Professional Software, Free Software. On the basis of sector, the market is segmented into Large Enterprises, Medium Size Business, Small Business. On the basis of geography market is segmented into United States, EU, Japan, China, India, Southeast Asia.

A comprehensive analysis explaining market dynamics and market structure is combined in the report. Porter’s Five Forces examination along with the supply and distribution chain are deliberated in detail. An evidence on new introduced and current research, development projects and funds for innovation has been delivered in the report.

Table of Contents:          

Global Conference Software Market Research Report 2018-2023

Chapter 1: Conference Software Market Overview

Chapter 2: Global Economic Impact on Industry

Chapter 3: Global Market Competition by Manufacturers

Chapter 4: Global Production, Revenue (Value) by Region

Chapter 5: Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6: Global Production, Revenue (Value), Price Trend by Type

Chapter 7: Conference Software Market Analysis by Application

Chapter 8: Manufacturing Cost Analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Market Effect Factors Analysis

Chapter 12: Global Conference Software Market Forecast

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Credits : Insidehpc

 

Software development for future DOE Exascale machines is on track, according to a new Report. While the first Exascale machine is not slated for delivery to Argonne until 2021, ongoing efforts continue towards the monumental task of preparing applications to run 50x faster than possible today.

This ECP Software Technology (ST) Capability Assessment Report (CAR) provides an overview and assessment of current ECP ST capabilities and activities, giving stakeholders and the broader HPC community information that can be used to assess ECP ST progress and plan their own efforts accordingly.

Today, ECP ST efforts contribute to 89 software products in five technical areas. Of the 89 products, 33 are broadly used in the HPC community and require substantial investment and transformation in preparation for Exascale architectures. An additional 23 are important to some existing applications and typically represent new capabilities that enable new usage models for realizing the potential that Exascale platforms promise. The remaining products are in early development phases, addressing emerging challenges and opportunities that Exascale platforms present.

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