Data centers consume more than 1% of the world’s electricity and contribute around 1% of the world’s CO2 emissions, with consumption expected to grow in the range of 3%-13% and up to 15% of global electricity by 2030. At the same time, inefficient use of servers in data centers causes significantly higher consumption of electricity compared to optimal operation. That’s why energy-efficient server load balancing in data centers and efficient ICT infrastructure are now more important than ever because they enable the reduction of electricity consumption and harmful CO2 emissions, and thus, with an environmental contribution, also reduce the overall costs of data centers.
The project “Energy-efficient client-side global load balancer for distributed servers” contributes to solving the problem of energy-efficient management of server resources in distributed data centers while simultaneously enabling the optimal selection of servers for each user at any time and solving the problem of high availability of applications. With this project, electricity consumption can be reduced by 8%-14% compared to the consumption of overloaded servers, and the consumption of underloaded servers, which amounts to an extremely high 29% of the total data center consumption, can be reduced by optimizing the total server resources.
Energy-efficient GSLB distributes the server load dynamically, in real time, between the cloud/multi-cloud, data centers and servers so that the consumption of electricity is optimized compared to the consumption of overloaded and unloaded servers, thus enabling energy efficiency in both cases. This contributes to the green transition of ICT through the reduction of the carbon footprint of data centers (CO2 emissions) as well as the further acceleration of digital transformation through the reduction of the cost price of the network services infrastructure. At the same time, by developing an energy-efficient GSLB and introducing energy efficiency in GSLB process, the existing GSLB functionalities of optimizing the application response time are retained through the selection of the optimal server for each user request, as well as ensuring the high availability of the network service for all types of cloud applications, including monolithics ones as well as those based on microservices.
Project code: NPOO.C1.1.2.R2-I3.02.0064
Project Name: Energy-efficient client-side global load balancer for distributed servers
Funded by the European Union – NextGenerationEU. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the European Commission can be held responsible for them.