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Primeur weekly 2019-10-07

Quantum computing

Argonne receives more than $1 million for quantum information science ...

Department of Energy announces $21,4 million for quantum information science research ...

The search for quantum-resistant cryptography: Understanding the future landscape ...

Focus on Europe

SHAPE Tenth Call for Applications is open from 1 October 2019 until 1 December 2019 ...

Fifth Call for Expression of Interest for Human Brain Project's final phase opened ...

The new supercomputer in Ostrava is called Barbora ...

Middleware

Solid Sands introduces license-free service to ease compiler qualification ...

Cortical.io collaborates with Xilinx to bring natural language understanding supercomputing to enterprise applications ...

Hardware

Rescale named #39 on Y Combinator’s 2019 list of top 101 companies ...

Mural for Perlmutter system unveiled ...

Supermicro expands European manufacturing facilities to support increased server and storage volume in EMEA markets ...

Applications

New research center for artificial intelligence at Mainz University ...

Modelling the complexity of the world's water ...

RUDN University mathematicians help improve efficiency of data centres using Markov chains ...

Heart from the computer helps physicians ...

Supercomputing and neutrons unite to unravel structures of intrinsically disordered protein ...

ORNL scientists shed light on microbial 'dark matter' with new approach ...

Gaute Hagen: Supercomputing the universe's building blocks ...

ORNL develops and deploys AI capabilities across research portfolio ...

SDSC and UC San Diego awarded two NSF Convergence Accelerator Grants ...

Eurolab4HPC subsidizes Short Term Collaborations and Business Prototyping Projects of a total of 55.000 euro ...

The Cloud

Excelero awarded patent for latency reduction in large-scale private Clouds ...

RUDN University mathematicians help improve efficiency of data centres using Markov chains


RUDN University mathematicians help improve efficiency of data centres using Markov chains. Credit: RUDN University.
30 Sep 2019 Moscow - RUDN University mathematicians created a model of maximum efficiency of data centres. It is based on a nontrivial Markov chain. In addition to the obvious practical applications of the results for the organisation of servers and data centres, the theoretical part will be useful for the theory of queues and queuing, as well as for working with big data and neural networks. The study is published in the journalMathematics.

A data centre is a system of servers, and their task is to provide computing resources and disk space at the request of users. The higher the load, the more equipment is heating up. Servers may temporarily stop working if they overheat. The temperature level that corresponds to the overheating point is called the first critical level. The second is the level to which the temperature of the server must fall for it to resume - at least partially - the work.

These levels are different. For example, if each user loads the server so that the temperature of its processor grows by 0,1 degrees, and the first critical level is 100 degrees, the second critical level should be set no higher than 99,9 degrees. If to put above, the first request of the user will overheat the server again. In this case, the two critical levels should be located close enough to each other - if their difference is big, the server capacity will not be used completely. It is necessary to configure these levels so that the servers of the data centre do not shut down constantly due to overheating and at the same time work with a full load.

RUDN University mathematicians Olga Dudina and Alexander Dudin were able to find a solution to the optimization problem, which allows ensuring that the servers work at full capacity and do not overheat. Its condition looks like this: depending on a random process that simulates the flow of users, place two critical levels to prevent overheating, but the computation power would be used to the maximum. At the same time, partial inactivity is allowed, that is, if the second critical temperature level is exceeded, some requests from users are rejected.

RUDN University mathematicians solved probabilistic equations for different values of critical levels. As a random process that simulates the arrival of users, RUDN University mathematicians used the Markov chain. The simplest example of such a chain is a random walk of a point along a straight line. Every second, a coin is tossed: if heads come up, the point moves 1 cm forward, if tails - one centimeter back. Time is discrete in this process, that is, changes occur once a second, and the position of the point in the future depends only on its current position and the result of the coin toss.

To test the effectiveness of their method, RUDN University mathematicians conducted a numerical experiment that simulated the behaviour of the server. Its results were evaluated using indicator E, a quality criterion that determines losses for denial of service to the user and overheating of equipment per unit of time. It turned out that the new method allows more than ten times - from 0,31 to 0,03 - to reduce the loss of the simulated server and significantly increase the efficiency of the data centre.

Also, the Markov chain, which originated in the work of mathematicians, has some interesting properties. In addition to its applications in IT, their model will be useful in Queueing theory. This theory is necessary for solving queuing problems, working with Big Data and neural networks.

The paper is titled " Optimization of Queueing Model with Server Heating and Cooling " and has been published inMathematics, 2019, 7(9), 768.

Source: RUDN University

Back to Table of contents

Primeur weekly 2019-10-07

Quantum computing

Argonne receives more than $1 million for quantum information science ...

Department of Energy announces $21,4 million for quantum information science research ...

The search for quantum-resistant cryptography: Understanding the future landscape ...

Focus on Europe

SHAPE Tenth Call for Applications is open from 1 October 2019 until 1 December 2019 ...

Fifth Call for Expression of Interest for Human Brain Project's final phase opened ...

The new supercomputer in Ostrava is called Barbora ...

Middleware

Solid Sands introduces license-free service to ease compiler qualification ...

Cortical.io collaborates with Xilinx to bring natural language understanding supercomputing to enterprise applications ...

Hardware

Rescale named #39 on Y Combinator’s 2019 list of top 101 companies ...

Mural for Perlmutter system unveiled ...

Supermicro expands European manufacturing facilities to support increased server and storage volume in EMEA markets ...

Applications

New research center for artificial intelligence at Mainz University ...

Modelling the complexity of the world's water ...

RUDN University mathematicians help improve efficiency of data centres using Markov chains ...

Heart from the computer helps physicians ...

Supercomputing and neutrons unite to unravel structures of intrinsically disordered protein ...

ORNL scientists shed light on microbial 'dark matter' with new approach ...

Gaute Hagen: Supercomputing the universe's building blocks ...

ORNL develops and deploys AI capabilities across research portfolio ...

SDSC and UC San Diego awarded two NSF Convergence Accelerator Grants ...

Eurolab4HPC subsidizes Short Term Collaborations and Business Prototyping Projects of a total of 55.000 euro ...

The Cloud

Excelero awarded patent for latency reduction in large-scale private Clouds ...