1.INTRODUCTION Cloud computing has become a very widespread phenomenon in daily lives, especially if we consider how accepted smartphones are. A typical phone application is heavily depended on infrastructure and remote processing capabilities Clouds deliver. Also, in desktop computer’s programs area, a significant number of applications have been moved into
MULTI-AGENT SYSTEM BALANCER
TAXONOMY OF SCHEDULERS
Introduction This review is analysing deployed and actively used workload schedulers’ solutions, and presents a taxonomy in which those systems are divided into several hierarchical groups based on their architecture and design. While other taxonomies do exist (e.g. Krauter et al., 2002; Yu and Buyya, 2005; Pop et al., 2006;
EDGE PROTOTYPE
Our client, Capco, required a temporary extension of its developer consulting team in order to develop a prototype analysis tool Edge. This solution was designed to support the deployment of financial regulations across investment companies, such as Commerzbank A.G. We were hired to bring in expertise in application development and
FINTECH ROBO-ADVISER
During our involvement with UBS A.G., we were contracted as a part of larger group committed to a development of a state-of-art investment robo-adviser. The solution developed relied on a sophisticated risk-model and AI-driven evaluation logic. The system interviewed a potential client about his risk preferences and monetary resources. The profile
E-STREAMS CLUSTER
Our developers are commonly required to work and expand or integrate within existing systems or several connected systems. From time to time, our team members need to either create or re-factor selected modules of a client’s solution. In this project, our main focus was to enhance the workings of event-driven analytics
DRONE DELIVERY QUEUE
A key element of our work with the UK Government consisted of migrating the existing systems portfolio to a strategic Kubernetes cluster. This required a close working relationship with their DevOps team. Strategic changes in the cluster required the re-design of the current release process. The key challenges in implementation this
AI-DRIVEN LOAD BALANCER
The Multi-Agent System Balancer (MASB) system is the prototype implementation of the AI-driven load balancer solution. This system can be used to orchestrate tasks allocations on massive Cloud / cluster systems. The MASB framework offers an alternative approach to task allocations in that all the actual processing of scheduling logic is offloaded to
ACCURATE CLOUD SIMULATOR
The Accurate Google Cloud Simulator (AGOCS) framework was created to support the testing of complex load balancing strategies without the need for a massive Cloud / cluster environment. AGOCS can simulate the workload of hundreds of thousands of nodes and provides very detailed statistics, such as requested/used CPU Cores, used canonical
CLOUD COMPUTING
We have worked on many applications which take advantage of cheap and scalable computing power offered by Cloud providers such as Amazon. We offer advice on API, and how it can be integrated into your existing flow.
ALGORITHMICS
Studying and designing better algorithms and computing methods is one of the key elements of research and science. We have practical expertise which includes PhD-level knowledge on sophisticated and complex algorithms.
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