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Building A Sustainable, Intelligent And Energy-Efficient Cloud

Building A Sustainable, Intelligent And Energy-Efficient Cloud


When we share files through Dropbox, save images to Google Drive, or place an order with Amazon, information is processed using technology commonly known as "the cloud". But did you know that a cloud server only uses 20% of its computing capacity most of the time? In fact, the cloud now accounts for almost 10% of global electricity consumption - so the current model of cloud computing is simply not sustainable.

The EU-funded CLOUDLIGHTNING project aims to remedy the situation by developing a more efficient, sustainable and user-oriented cloud. The project researchers are currently working on an intelligent, energy-efficient cloud computing infrastructure that will provide service providers with energy savings and facilitate access for cloud users. By using heterogeneous computing resources, the scientists want to increase the utilization of the computing capacity of the cloud servers from a pitiful 20% to a sustainable 80%.

Behind the cloud:


It is not easy to understand why cloud computing is often so inefficient, because the idea behind the cloud is, after all, that we are no longer dependent on file folders, data or hardware. But behind the cloud are huge, homogeneous data centers that consist of countless computers, components and other hardware - and this model, according to the CLOUDLIGHTNING researchers, limits the computing capacity and thus the possibilities of certain cloud users.

A typical example are the high-performance computers that are used in science and technology. The standardized, homogeneous cloud is unsuitable for this area because the need for cloud resources is not always predictable and fluctuates frequently. Today's cloud providers do not allow their customers to tailor the available resources to their individual needs, and therefore cloud computing is in fact not used for high-performance calculations.

In a recent report, the CLOUDLIGHTNING researchers found that organizations that perform high-performance calculations are generally skeptical of the cloud because of this lack of flexibility. They are particularly concerned about data management capacities in cloud computing, for example because they lack cloud infrastructures that meet the demands placed on communication and I / O capacity in highly complex technical calculations.


The current system also prompts cloud providers to provide significantly more computing resources than is actually needed most of the time to cope with unpredictable peaks in user demand. Through this practice, however, tens of thousands of cloud servers are now operated in data centers around the world - which consume energy - even though they are actually hardly used.

A heterogeneous approach:


CLOUDLIGHTNING is intended to solve these problems in order to develop an energy-efficient cloud infrastructure that makes cloud technology sustainable and simplifies access to cloud resources. The researchers want to create a heterogeneous cloud system that combines high computing power with the energy-efficient, combined use of different types of hardware and servers. Technically speaking, they are striving for a new kind of management and delivery architecture for the cloud, which is based on self-organization and management and which shifts the provision and optimization from the consumer to a software stack that runs in the cloud infrastructure.

The overall goal of the project is to avoid the inefficient use of resources and thus to achieve savings for both cloud providers and cloud users through reduced energy consumption and improved provision of services. Although the project has not yet been completed, use cases for three areas of application - genomics, oil and gas exploration and ray tracing - have already been published and will be used to check the management and delivery models of the CLOUDLIGHTNING researchers.

After these promising initial results, the next step will be to create and use a test environment that will run the CLOUDLIGHTNING software stack. The researchers note that the data is collected in this test environment, on the basis of which large-scale simulations of self-organized and self-managed, scalable, heterogeneous cloud systems will then take place.
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