Data Centers

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Control Software +Knowledge +Distributed Intelligence A Solution for Contemporary Data Centers:

Arash Mousavi DCC 6-Novemebr-2013

Investments on Data Centers Projected 2012 Data Center Investment by Country/Region

Data Centers and Energy Efficiency

Projected increase 2011 – 2012 Worldwide Number of data center facilities: 7% Number of server racks: 15% Energy consumption: 19%  

Data Centers: Ø  Consume 2% of the world’s total energy consumption Ø  Will Overtake the carbon emissions of the Airline industry by 2020. Ø  Efficient use of energy is more important than ever before.

Data Center as an Industry

Ø  Data Center is an Industry Now

Ø  Demands in Data Centers:

• 

1.  Global Company

Manage an ever-expanding inventory of equipment

• 

monitor operations across multiple facilities  

2.  Combining: Innovative development and manufacturing expertise + Project management experience

• 

DC is going to become Highly sophisticated industrial facilities. Like chemical plants  

3.  Green Data Centers

v 

We are now at a pivotal moment in the history of the data center industry  

Ø  Issues that impact the infrastructure design of data centers: •  Higher levels of security •  Increased power availability •  Safe and secure operation •  Limiting energy usage •  Environmental impact.  

4.  Security 5.  Cooling BMS and HVAC 6.  Power 7.  Fire Safety 8.  Data Center Infrastructure Management

Data Center as an Industry

What is Data Center Industry looking for now: Ø  A system with a single user interface to reduce the complexity of burgeoning point solution interfaces, and Ø  The ability to ma-nage server operations as well as cooling, environmental controls and energy use at various levels within the facility. Ø 

Security

Safety

Power

Monitoring

A Solution: Control Software + Knowledge + Distributed Intelligence

An Essential Problem in Data Centers: How to Manage the Increasing Complexity ? 1- Control Software a Natural Solution: Ø  Divide and Conquer Ø  IEC 61499 Function Block Standard - Object Oriented - Clear Distinction between Data and Event - Encapsulation of Functionality - Event Driven Communication - Model Driven Approach - Automatic generating of FBs and Interconnections

2- Knowledge, Ontology and Semantic Web Technology: Ø  Common Vocabulary Ø  Machine-understandable Knowledge format Ø  Reasoning over knowledge Ø  Interoperability Ø Next generation of Web

3- Distributed Intelligence and Multi-agent Technology Ø  Autonomous Software Entities Ø  Society of Agents Ø Distributed Problem Solving Ø  Collaboration, Coordination, Negotiation Ø  Open and decentralize architecture, flexible Ø  Infrastructure for other AI techniques Machine Leraning, Fuzzy Logic, Case-Based Reasoing …

Our Research Platform

Network Infrastructure Layer Semantic KB Management & Reasoning Engine

Multi-agent Platform Layer (JADE)

Coordination Medium

Semantic Web

Processing Units

Ontology Agent

DBMS

Outcome: 1- Simulation 2- Visualization 3- Analysis

Reconf Agent

Databases & Files

Distributed Software Control System and Platform

Rsource Agent

Controllers Controller [1]

Controller [i]

Controller [n]

Factory Floor Machineries Actuators

Sensors

Monitoring Devices and Personels Cameras