Algorithmic Aspects of Cloud Computing
5th International Symposium, ALGOCLOUD 2019, Munich, Germany, September 10, 2019, Revised Selected Papers
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Chapter and Conference Paper
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
With the advent of the Post-Moore era, the scientific community is faced with the challenge of addressing the demands of current data-intensive machine learning applications, which are the cornerstone of urgen...
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Chapter and Conference Paper
Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
Cloud-Edge Continuum is an innovative approach that exploits the strengths of the two paradigms: Cloud and Edge computing. This new approach gives us a holistic vision of this environment, enabling new kinds o...
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Chapter and Conference Paper
Accelerating Scientific Applications with the Quantum Edge: A Drug Design Use Case
To address increasing demands of computational resources, scientific applications started to support different type of hardware accelerators, e.g., GPUs, TPUs, ASICs. However, due to the limitation to scalabil...
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Chapter and Conference Paper
SymED: Adaptive and Online Symbolic Representation of Data on the Edge
The edge computing paradigm helps handle the Internet of Things (IoT) generated data in proximity to its source. Challenges occur in transferring, storing, and processing this rapidly growing amount of data on...
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Book and Conference Proceedings
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Article
Open AccessAddressing Application Latency Requirements through Edge Scheduling
Latency-sensitive and data-intensive applications, such as IoT or mobile services, are leveraged by Edge computing, which extends the cloud ecosystem with distributed computational resources in proximity to da...
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Article
Open AccessUsing meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review
While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various hardware architectures and para...
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Chapter and Conference Paper
Consistency of the Fittest: Towards Dynamic Staleness Control for Edge Data Analytics
A critical challenge for data stream processing at the edge of the network is the consistency of the machine learning models in distributed worker nodes. Especially in the case of non-stationary streams, which...
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Chapter and Conference Paper
Cost-Aware VM Placement Across Distributed DCs Using Bayesian Networks
In recent years, cloud computing providers have been working to provide highly available and scalable cloud services to keep themselves alive in the competitive market of various cloud services. The difficulty...
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Book and Conference Proceedings
Service-Oriented Computing – ICSOC 2013 Workshops
CCSA, CSB, PASCEB, SWESE, WESOA, and PhD Symposium, Berlin, Germany, December 2-5, 2013. Revised Selected Papers
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Chapter and Conference Paper
ICSOC PhD Symposium 2013
The 9th edition of the ICSOC PhD Symposium was held on December 2, 2013, in Berlin, as a satellite event of the 11th International Conference on Service Oriented Computing (ICSOC 2013). The aim of the PhD Symp...
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Chapter and Conference Paper
Energy-Aware Cloud Management Through Progressive SLA Specification
Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a ...
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Article
Managing and Optimizing Bioinformatics Workflows for Data Analysis in Clouds
The rapid advancements in recent years of high-throughput technologies in the life sciences are facilitating the generation and storage of huge amount of data in different databases. Despite significant develo...
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Chapter
Towards an Integrated Platform for Big Data Analysis
The amount of data in the world is expanding rapidly. Every day, huge amounts of data are created by scientific experiments, companies, and end users’ activities. These large data sets have been labeled as “Bi...
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Chapter and Conference Paper
A Conceptual Framework for Simulating Autonomic Cloud Markets
One of the major challenges facing the Cloud paradigm is the emergence of suitable economic platforms for the trading of Cloud services. Today, many researchers investigate how specific Cloud market platforms ...
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Chapter and Conference Paper
Topic 6: Grid, Cluster and Cloud Computing
Grid and cloud computing have changed the IT landscape in the way we access and manage IT infrastructures. Both technologies provide easy-to-use and on-demand access to large-scale infrastructures. Grid and cl...
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Chapter and Conference Paper
Achieving Market Liquidity Through Autonomic Cloud Market Management
Due to the large variety in computing resources, Cloud markets often suffer from a low probability of finding matches between consumers’ bids and providers’ asks, resulting in low market liquidity. The approac...
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Chapter and Conference Paper
Energy Efficient Service Delivery in Clouds in Compliance with the Kyoto Protocol
Cloud computing is revolutionizing the ICT landscape by providing scalable and efficient computing resources on demand. The ICT industry – especially data centers, are responsible for considerable amounts of CO ...
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Chapter and Conference Paper
Enacting SLAs in Clouds Using Rules
The emergence of Cloud Computing raises the question of dynamically allocating resources of physical (PM) and virtual machines (VM) in an on-demand and autonomic way. Yet, using Cloud Computing infrastructures...
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Chapter and Conference Paper
Using SLA Map** to Increase Market Liquidity
Research into computing resource markets has mainly considered the allocative fairness of market mechanisms. It has not been discussed how a large variety of resource types influences the market liquidity. Mar...
