A heterarchic hybrid coordination strategy for congestion management and market optimization using the DREAM framework

Software agent-based strategies using micro-economic theory like PowerMatcher[1] have been utilized to coordinate demand and supply matching for electricity. Virtual power plants (VPPs) using these strategies have been tested in living lab environments on a scale of up to hundreds of households. So far, the coordination configuration of a VPP is...

DREAM: An ICT architecture framework for heterarchical coordination in power systems

Agent based techniques are used to coordinate demand and supply for increasing the embedding capacity of dispersed, badly predictable, renewable energy based power systems. VPPs (Virtual Power Plants) using this technology have demonstrated their feasibility in field tests and currently are scaled up to satisfy requirements for massive rollout ...

Dynamically Scaling Apache Storm for the Analysis of Streaming Data

Stream processing platforms allow applications to analyse incoming data continuously. Several use cases exist that make use of these capabilities, ranging from monitoring of physical infrastructures to pre selecting video surveillance feeds for human inspection. It is difficult to predict how much computing resources are needed for these stream...

Applying innovative IT modelling methods to low-level grid information for DSO operations

Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these...

Analysis cloud: running sensor data analysis programs on a cloud computing infrastructure

Sensors have been used for many years to gather information about their environment. The number of sensors connected to the internet is increasing, which has led to a growing demand of data transport and storage capacity. In addition, evermore emphasis is put on processing the data to detect anomalous situations and to identify trends. This...

Deployment strategies for distributed applications on cloud computing infrastructures

Cloud computing enables on-demand access to a shared pool of IT resources. In the case of Infrastructure as a Service (IaaS), the cloud user typically acquires Virtual Machines (VMs) from the provider. It is up to the user to decide at what time and for how long they want to use these VMs. Because of the pay-per-use nature of most clouds, there...

Analysis Cloud: Running Sensor Data Analysis Programs on a Cloud Computing Infrastructure

Sensors have been used for many years to gather information about their environment. The number of sensors connected to the internet is increasing, which has led to a growing demand of data transport and storage capacity. In addition, evermore emphasis is put on processing the data to detect anomalous situations and to identify trends. This...

Sensor data storage performance: SQL or NoSQL, physical or virtual

Sensors are used to monitor certain aspects of the physical or virtual world and databases are typically used to store the data that these sensors provide. The use of sensors is increasing, which leads to an increasing demand on sensor data storage platforms. Some sensor monitoring applications need to automatically add new databases as the size...

A Cloud Storage Platform in the Defense Context: Mobile Data Management With Unreliable Network Conditions

This paper discusses a cloud storage platform in the defense context. The mobile and dismounted domains of defense organizations typically use devices that are light in storage, processing and communication capabilities. This means that it is difficult to store a lot of information on these devices locally, but also that it is infeasible to rely...

The IETF should create an intercloud RFC: The interfaces in the IETF cloud reference framework should be standardized

This paper discusses the current state of cloud computing and shows that it is comparable to the state of networks before the internet. Clouds need to be connected more to make it easier for users to switch between providers and at the same time make it easier for providers to supply "infinite resources". At the moment the big cloud providers do...