In the future, we will be able to use quantum computers to solve valuable, but hard optimization problems as they arise in different industries and sectors of the economy. In the absence of sufficiently powerful quantum computers (as in 2022), it is possible to use classical optimization techniques, but also optimization methods which have been inspired by quantum physics and quantum effects. These so-called quantum-inspired optimization algorithms (QIO) can potentially help solve problems when classical algorithms run out of steam. Importantly, QIO optimization solvers run in the cloud on today’s classical compute infrastructure and therefore don’t require quantum computers. Such QIO techniques are e.g. available in the cloud in Microsoft Azure Quantum. For potential users, various questions will arise: How do these QIO algorithms work in principle? What type of business problems can be solved using such techniques? How to map a business problem into a mathematical description that can serve as input to QIO solvers? Once a mathematically suitable problem specification has been written up, how to work with such QIO solvers in the cloud? Here is an introductory article which addresses a number of these questions and leads the reader through an illustrative worked example to provide a better understanding how QIO methods can be leveraged in practice.
Stan Druckenmiller about the Endgame – Is the best really behind us?
There are lots of observant people around who on the one hand are delighted about the strength of the US economy and the (stubborn) health of the US equity market, but on the other hand point to a number of facts that in normal times would give rise to concerns. Now fortunately it seems, we don’t live in normal times any more, hence, we can largely ignore the ‘statistics-relevant-in-normal-times’. Shall we? Continue reading
The Enterprise Micro-Datacenter: Small Cell Controllers, IoT Gateways and Edge Computing Servers
Today, enterprises can deploy small cell networks (e.g. Wi-Fi or sophisticated 4G cellular networks based on LTE technology) to go completely wireless, not only for their staff with the latest smartphones and tablets, but also to connect any of their assets, sensors, goods etc. to the Cloud. In addition, enterprises which go after the Internet of Things use IoT gateways as part of a tiered system architecture. Finally, the same enterprises may discover the benefits of edge cloud computing and consider the deployment of a cloudlet. The only issue: all needs to be enterprise-grade. Secure, reliable, with guaranteed quality of service levels. How does this relate to an enterprise micro-datacenter? And what does this small datacenter actually host? Let’s see. Continue reading
Edge Cloud to Cloud Integration for IoT
Telecoms and Internet industries work on concepts and architectures that will support new enterprise products and solutions for the Internet of Things (IoT), in addition to new products and services for the consumer sector. These concepts are known as mobile edge computing, edge cloud computing and fog computing. They are great. But what needs more attention is integration of edge cloud platforms with data centers and private clouds of IoT enterprises, as well as the integration with public hyper-scale clouds. Continue reading
Open Fog Computing and Mobile Edge Cloud Gain Momentum
On 19th November 2015, Cisco, ARM, Dell, Intel, Microsoft and Princeton University have launched the Open Fog consortium with the goal to realise the full potential of the Internet of Things. On the other hand, the telecoms industry has been working since late 2014 on mobile edge computing. Also, edge cloud is seen by several vendors of telecoms infrastructure as a key component of 5th generation wireless systems. To add to the confusion, other renowned institutes like Carnegie Mellon University have promoted Cloudlets as a means to enable a new generation of edge cloud computing applications. What’s going on? How are things related? Continue reading
About Mobile Edge Cloud Computing – An Introduction
Everybody surely knows that most of our on-line applications and services are served out of the “Cloud”. Cloud computing has become more and more important, with ever increasing size of datacenters and degree of automation. Where next? What comes after the hyper-scale datacenter and ever-growing consolidation? Might it be distributed computing? Edge cloud computing? Micro datacenters? Continue reading
Mandelbrot Set – The Other Way
Documenting the Mandelbrot set as an area of equally coloured complex numbers in a plane is an easy task. Colouring its neighborhood in different ways is sometimes far more interesting, well, for those who are interested in graphics effects. Continue reading
CFA Level 3 Season starts again
The New Year has just started and that rings a bell for a number of students of a finer art, namely financial analysis. Every year, some of them set out on a journey to master the final level of the CFA curriculum [1], Level 3. Comes end of May, the students’ studies will have much progressed and the exam takers will be in top form to tackle the final 6-hour treatment of the finest. Shortly before that, it will be urgent time to look through the secret sauce of tricks and hints to pass all remaining hurdles. Some of those tricks have been published now to avoid a late-minute rush…. Continue reading
QUIC – Making Web Browsing Even Faster and Improving over SPDY
Want to be faster underway in the Internet? Then you may want to have a look at QUIC. The acronym sounds like quick, and actually means it: surfing quicker through the Web by means of fast connections, this time over the User Datagram Protocol UDP. Continue reading
LWM2M – M2M The Lighter Way
If you went these days to ‘google’ for LWM2M, you would find something that is called a new technical protocol specification. It is abbreviated LWM2M which stands for Lightweight M2M – Machine to Machine the lighter way. What’s that all about? Why does it show up here and there already on Google? Continue reading