Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC

The cloud has become a powerful and useful environment for the deployment of High-Performance Computing (HPC) applications, but the large number of available instance types poses a challenge in selecting the optimal platform. Users often do not have the time or knowledge necessary to make an optimal choice. Recommender systems have been...

Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows

Stream processing lies in the backbone of modern businesses, being employed for mission critical applications such as real-time fraud detection, car-trip fare calculations, traffic management, and stock trading. Large-scale applications are executed by scale-out stream processing systems on thousands of long-lived operators, which are subject...

Scheduling Workloads of Workflows in Clusters and Clouds

This dissertation addresses three key challenges that are characteristic to the online scheduling of workloads of workflows in modern distributed computing systems. The first challenge is the realistic estimation of the resource demand of a workflow, as it is important for making good task placement and resource allocation decisions. Usually,...

Serverless is More: From PaaS to Present Cloud Computing

In the late-1950s, leasing time on an IBM 704 cost hundreds of dollars per minute. Today, cloud computing, that is, using IT as a service, on-demand and pay-per-use, is a widely used computing paradigm that offers large economies of scale. Born from a need to make platform as a service (PaaS) more accessible, fine-grained, and affordable,...

CPL: A Core Language for Cloud Computing

Running distributed applications in the cloud involves deployment. That is, distribution and configuration of application services and middleware infrastructure. The considerable complexity of these tasks resulted in the emergence of declarative JSON-based domain-specific deployment languages to develop deployment programs. However, existing...

Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms: Poster Paper

Rapid elasticity is one of the essential characteristics of cloud computing identified by NIST. Elasticity allows resources to be provisioned and released to scale rapidly out ward and in ward according to demand. Tens -- if not hundreds -- of algorithms have been proposed in the literature to automatically achieve elastic provisioning. These...

Interactive distributed optimisation for multidisciplinary design

This paper presents the development of a multidisciplinary optimisation system for the Architecture Engineering and Construction (AEC) industry. The system consists of two major components, namely a multidisciplinary optimisation framework and a distributed cloud-based analysis framework. The former utilises an interactive optimisation search...

Cloud-Based Design Analysis and Optimization Framework

Integration of analysis into early design phases in support of improved building performance has become increasingly important. It is considered a required response to demands on contemporary building design to meet environmental concerns. The goal is to assist designers in their decision making throughout the design of a building but with...

Evo-Devo in the Sky

Designers interested in applying evo-devo-design methods for performance based multi-objective design exploration have typically faced two main hurdles: it’s too hard and too slow. An evo-devo-design method is proposed that effectively overcomes the hurdles of skill and speed by leveraging two key technologies: computational workflows and cloud...

Feature of Users’ Eye Movements during a Distributed and Synchronised VR Meeting using Cloud Computing

Owing to cloud computing Virtual Reality (cloud-VR), a note PC or tablet with no need for a high spec GPU can be used for sharing a 3D virtual space in a synchronous distributed type design meeting. This research investigates the users’ eye movements and optimization of the GUI of cloud-VR during a distributed and synchronized VR meeting....

Understanding and Improving the Performance Consistency of Distributed Computing Systems

With the increasing adoption of distributed systems in both academia and industry, and with the increasing computational and storage requirements of distributed applications, users inevitably demand more from these systems. Moreover, users also depend on these systems for latency and throughput sensitive applications, such as interactive...

Design Choices Underlying the Software as a Service (SaaS) Business Model from the User Perspective: Exploring the Fourth Wave of Outsourcing

Software as a Service (SaaS) can be viewed as the fourth wave of outsourcing. SaaS is a relatively new type of service delivery model in which a service provider delivers its services over the web to many users on a pay per use or period basis. In the scarce literature available, the SaaS business model is almost always analyzed from the...

A framework for the study of grid inter-operation mechanisms

The study of the history of computing infrastructures reveals an integration trend. For example, the explosive growth of the Internet in the 1990s was the result of an integration process started in the 1960s with the emerging networks of computers. By using the Internet, millions of users were capable of accessing information anytime and...

Values in the filter bubble Ethics of Personalization Algorithms in Cloud Computing

Cloud services such as Facebook and Google search started to use personalization algorithms in order to deal with growing amount of data online. This is often done in order to reduce the “information overload”. User’s interaction with the system is recorded in a single identity, and the information is personalized for the user using this...