computer science

Techila Grid

Techila Grid is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Techila Grid rather than just read about it. In short: The Techila Distributed Computing Engine (earlier known as Techila Grid) is a commercial grid computing software product. Techila Distributed Computing Engine is developed and licensed by Techila Technologies Ltd, a privately held company headquartered in Tampere, Finland.

Key takeaways

Techila Grid belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Techila Grid to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Techila Grid from memory before moving on to harder problems.

Reference excerpt

The Techila Distributed Computing Engine (earlier known as Techila Grid) is a commercial grid computing software product. Techila Distributed Computing Engine is developed and licensed by Techila Technologies Ltd, a privately held company headquartered in Tampere, Finland. The product is also available as an on-demand solution in Google Cloud Launcher, the online marketplace created and operated by Google. According to IDC, Techila enables organizations to create HPC infrastructure without the capital investments and operating expenses required by new HPC hardware.

Product features Techila Distributed Computing Engine is a distributed computing middleware and management solution, which can be used to access and manage on-premises and cloud IT resources for various high-performance computing (HPC) uses, including high-throughput computing (HTC) scenarios. It creates a scalable computing service and execution environment that can also support applications that are deployed within production environments. The technology of Techila Distributed Computing Engine is built on an autonomic computing architecture that is patented by Techila Technologies. This has facilitated the development of features such as automated system management and fault tolerance, which can simplify the deployment, use, and administration of large-scale distributed computing systems.

Architecture

Techila Server Techila Server is a Java-based software product, which is designed to optimize the performance of a Techila Distributed Computing Engine environment and the jobs in it. The optimization done by Techila Server supports large jobs, and can also make the system suitable for running small computational jobs. The performance of Techila Distributed Computing Engine in different scenarios was evaluated in a thesis at the Tampere University of Technology. Originally, the Techila Server was delivered as an embedded appliance. The embedded appliance product was discontinued in 2012. Currently, Techila Server is delivered either as a virtual appliance or using cloud-specific deployment tools.

Techila Worker Techila Worker is the software agent that must be installed on each computer that will participate in a Techila Distributed Computing Engine environment. The computers can be physical, or they can be virtualized computers running on a hypervisor or in a cloud virtual machine. Techila Distributed Computing Engine supports following public cloud services: Microsoft Azure, Amazon ec2 and Google Compute Engine. Once the Techila Worker software is installed on a computer, it will authenticate the computer to the Techila Server using a certificate, and the system will use self-management to automatically configure the computer to run jobs received from the Techila Server. Techila Worker is a Java-based client middleware component that can be run on Microsoft Windows or Linux. Because of this, the client computers participating in the Techila Distributed Computing Engine system can have different hardware and software platforms. Techila Worker software runs on the lowest possible priority on the computer. The Techila Worker is also interoperable with batch-queuing systems, like the SLURM, TORQUE, or Oracle Grid Engine (previously known as Sun Grid Engine, SGE). This interoperability allows existing HPC users to use their existing infrastructures as a part of a Techila Distributed Computing Engine system without the Techila Worker interfering with the other system.

Techila SDK Techila SDK (earlier known as Techila Grid Management Kit or Techila GMK) is a library of software components that connect applications to the Techila Distributed Computing Engine environment. The SDK includes plug-ins for many commonly used research and development tools and languages, such as MATLAB, R, Python, Perl, Java, C#/ .NET C/ C++, FORTRAN, and Command-line interface script. The applications that have been developed using application programming interfaces in the Techila SDK can also be deployed within production environments and run as a service in a SOA environment. Techila SDK supports both Windows and Linux operating systems.

Administrator User Interface A web-based Administrator User Interface provides administrators an interface to the Techila Server. The Administrator User Interface allows monitoring system activity, view and control job execution, execution policy, monitor and control Techila Workers and Techila Worker Groups, control security settings, and manage users.

History The motivation for Techila Distributed Computing Engine was to simplify grid computing, enabling fast simulations, and analyses without the complexity associated with traditional high-performance computing systems. The security of the Techila Distributed Computing Engine was evaluated by Nixu Ltd in 2008. Following this evaluation, the technology gained acceptance in security-sensitive industries, including Finance and Insurance, Engineering, and Pharmaceuticals. In 2011, a research team at the University of Helsinki demonstrated the Techila Distributed Computing Engine’s ability to autonomously manage large-scale computing environments, including extensive deployments of Windows Azure cloud instances. The University also showcased how the engine enhances the usability and efficiency of large-scale cluster resources in projects utilizing MATLAB, R, Python, Java, and C/ C++/ C#. The Techila Distributed Computing Engine system allows computational resources to be organized into device groups, to improve control for organizational, security, compliance, and administrative needs. Despite its capacity for managing large-scale systems such as CSC – IT Center For Science, the engine is equally effective in smaller environments. For instance, the TUTGrid at Tampere University of Technology uses Techila to harness idle capacity from desktop PCs and other computers for scientific computing tasks.

External links Google Cloud Platform Blog about Techila available in Google Cloud Launcher Software Systems for Distributed Scientific Computing Innofinland Prizes of the President of the Republic 2009 to Techila ANSYS ADVANTAGE Volume VII - A Perfect Fit

References

Worked examples

Example 1 — a first encounter with Techila Grid

Start with the simplest possible case. Write down what Techila Grid claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Techila Grid before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Techila Grid ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Techila Grid

In research: Techila Grid appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Techila Grid in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Techila Grid is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cloud computing providers, Distributed computing, Grid computing products, so understanding it makes those chapters shorter.
In everyday life: Look for Techila Grid outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Techila Grid in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Techila Grid means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Techila Grid out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Techila Grid in simple terms?

Why does Techila Grid matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Techila Grid?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Techila Grid.