Publicaties
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Cloud Acknowledgment Scheme for a Node Network Universiteit Hasselt
Recently, wireless devices are rapidly added to existing networks. This growth is due to abrupt development in technology and change of lifestyle. Due to the distribution nature of these networks, it is essential to mention that there is a substantial increase in the number of attacks as the network is expanding. By virtue of such trend, we are interested in bringing back centralization of a network even in wireless networks to deal with such ...
Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators Vrije Universiteit Brussel
Heterogeneous cloud computing servers provide access to different types of hardware accelerators in order to satisfy the computational demands that standalone generalpurpose multi-processors can not deliver. The combination of different technologies provides more opportunities to accelerate the most compute-intensive applications by exploiting the key features of each type of hardware accelerator. Unfortunately, the design effort drastically ...
Algorithms for efficient data management of component-based applications in cloud environments Universiteit Gent Universiteit Antwerpen
Cloud environments face a growing demand for application hosting, and applications consisting of multiple data-sources and storage components. The need to ensure service level agreements for these types of applications creates important challenges for cloud infrastructure providers. The main contribution of this paper is an optimal cost-effective model and two algorithms to map component-based data oriented applications to cloud platforms. The ...
Improving energy efficiency in optical cloud networks by exploiting anycast routing Universiteit Gent
Exploiting anycast routing significantly reduces optical network and server energy usage. In this work we present a case study showing that intelligently selecting destinations and routes thereto, while switching off unused (network) elements, cuts power consumption by around 20% and saves network resources by 29%.
DISCOPAR: A Visual Reactive Programming Language for Generating Cloud-Based Participatory Sensing Platforms Vrije Universiteit Brussel
Participatory sensing (PS) platforms enable stakeholders to
collect, analyse and visualise data for a particular interest.
Despite high societal demand, developing a new PS platform
remains a labour-intensive, nonreusable process that
requires high technical expertise. We present DISCOPAR, a
visual reactive flow-based domain-specific language geared
towards the construction of reusable citizen observatories.
...
collect, analyse and visualise data for a particular interest.
Despite high societal demand, developing a new PS platform
remains a labour-intensive, nonreusable process that
requires high technical expertise. We present DISCOPAR, a
visual reactive flow-based domain-specific language geared
towards the construction of reusable citizen observatories.
...
FPGA Accelerators for Cryptography and Their Protection in the Cloud KU Leuven
FPGA-accelerated computing has received significant attention over the last several years. It offers adaptability of hardware to application requirements and custom accelerators to various computation domains, either in embedded devices or in data-centre scale platforms. For security and cryptography applications, FPGAs allow many-times accelerated computation. Greater acceleration is possible with well-designed accelerators that optimally use ...
Cloud PARTE: Elastic Complex Event Processing based on Mobile Actors Vrije Universiteit Brussel
Traffic monitoring or crowd management systems produce large amounts of data in
the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these
applications, however, increasing amounts of data as well as large and complex
rule sets demand for more and more processing power and memory. In order to
scale such
applications, a rule-based ...
the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these
applications, however, increasing amounts of data as well as large and complex
rule sets demand for more and more processing power and memory. In order to
scale such
applications, a rule-based ...