Exposing the Cost of Performance Hidden in the CloudNeil Gunther
Whilst offering lift-and-shift deployment and elastic capacity, the cloud also reintroduces an old mainframe concept—chargeback which thereby rejuvenates the need for performance and capacity management. Combining production JMX data with an appropriate performance model, we show how to assess fee-based EC2 configurations for a mobile-user application running on Linux-Tomcat hosted on AWS. The capacity model can be used for ongoing cost-benefit analysis of different AWS Auto Scaling policies.
Automating Complex Airport Operations with WSO2 Middleware PlatformWSO2
Operations conducted in a typical airport are diversified and often span multiple information systems. Complex yet interdependent processes such as flight check-in, flight information maintenance, cleaning crew operations and waiting time prediction raise the requirement of operating a connected business. These requirements have made the airport operators choose comprehensive enterprise middleware platforms over isolated software products.
In this session we will explore the features of WSO2’s comprehensive 100% open source middleware platform which enables successful automation of complex airport operations. We will do so with a few example processes from two information domains such as individuals and airport services. This webinar will also discuss the following topics:
Introducing airport operations and the requirements of a connected business
Providing real-time information to individuals
Integrating diversified information for successful flight operations
Predicting the time taken for regular airport services
FME World Tour 2015 - FME & LIDAR - Glen BambrickIMGS
FME 2015 has notably added functionality for working with
point clouds, there are two new formats (Caris Spatial Archive and Minecraft), and three transformers -
PointCloudStatisticsCalculator, PointCloudSorter, and
PointCloudMerger. This presentation concentrates on using
these transformers in four scenarios: Classification, Rasterization for biomass calculation, Vectorization (feature extraction) and Building Height Calculation.
Exposing the Cost of Performance Hidden in the CloudNeil Gunther
Whilst offering lift-and-shift deployment and elastic capacity, the cloud also reintroduces an old mainframe concept—chargeback which thereby rejuvenates the need for performance and capacity management. Combining production JMX data with an appropriate performance model, we show how to assess fee-based EC2 configurations for a mobile-user application running on Linux-Tomcat hosted on AWS. The capacity model can be used for ongoing cost-benefit analysis of different AWS Auto Scaling policies.
Automating Complex Airport Operations with WSO2 Middleware PlatformWSO2
Operations conducted in a typical airport are diversified and often span multiple information systems. Complex yet interdependent processes such as flight check-in, flight information maintenance, cleaning crew operations and waiting time prediction raise the requirement of operating a connected business. These requirements have made the airport operators choose comprehensive enterprise middleware platforms over isolated software products.
In this session we will explore the features of WSO2’s comprehensive 100% open source middleware platform which enables successful automation of complex airport operations. We will do so with a few example processes from two information domains such as individuals and airport services. This webinar will also discuss the following topics:
Introducing airport operations and the requirements of a connected business
Providing real-time information to individuals
Integrating diversified information for successful flight operations
Predicting the time taken for regular airport services
FME World Tour 2015 - FME & LIDAR - Glen BambrickIMGS
FME 2015 has notably added functionality for working with
point clouds, there are two new formats (Caris Spatial Archive and Minecraft), and three transformers -
PointCloudStatisticsCalculator, PointCloudSorter, and
PointCloudMerger. This presentation concentrates on using
these transformers in four scenarios: Classification, Rasterization for biomass calculation, Vectorization (feature extraction) and Building Height Calculation.
Verolog 2019 : Multiple solving approaches applied to the Heterogeneous Vehic...Manon Bouly
Speech by Gwénaël Rault, PhD candidate in Operational Research at Mapotempo during VeRoLog 2019.
Abstract :
In the context of this presentation, we focus on Asymmetric HVRP where the shortest path between two customers nodes is vehicle dependent. Moreover, the distance matrices doesn’t verify the triangular inequality. Case which is common when we consider a real road network at the fastest with the objective to minimize the total distance. The problem in itself contains a set of multiple vehicle types with a limit number on their usage, as well as a capacity limit at the parcels number they can load to deliver at the customers nodes.
At this purpose, the instances provided by C. Duhamel and al(2011) and named New real life Duhamel–Lacomme–Prodhon_HVRP instances (DLP_HVRP), based on realistic distances between french cities, are considered as the main comparison set.
The current approach use at first step a GRASP+ALNS metaheuristic, method known to provide good results in a short computation time. In a second step, a constraint programming model of the problem is used to shuffle the problem and provide an additional local search starting from the current solution. Data are exchanged iteratively in order to benefit from each solve step improvement.
The aim behind the use of multiple models is to expose the possible synergies between those methods. Multiple solve scenarios will be presented to discuss about the multiple layout available between the two previously mentioned solve steps and show their impact on the resolution.
This is my presentation at AMS 2017 97th annual meeting. The topic was mainly talking about how we utilized ADS-B data Mode-S data to complement the insufficient of traditional weather data on aviation meteorology.
If you are interested in my research, welcome to refer my paper at https://ams.confex.com/ams/97Annual/webprogram/Paper306201.html.
Verolog 2019 : Multiple solving approaches applied to the Heterogeneous Vehic...Manon Bouly
Speech by Gwénaël Rault, PhD candidate in Operational Research at Mapotempo during VeRoLog 2019.
Abstract :
In the context of this presentation, we focus on Asymmetric HVRP where the shortest path between two customers nodes is vehicle dependent. Moreover, the distance matrices doesn’t verify the triangular inequality. Case which is common when we consider a real road network at the fastest with the objective to minimize the total distance. The problem in itself contains a set of multiple vehicle types with a limit number on their usage, as well as a capacity limit at the parcels number they can load to deliver at the customers nodes.
At this purpose, the instances provided by C. Duhamel and al(2011) and named New real life Duhamel–Lacomme–Prodhon_HVRP instances (DLP_HVRP), based on realistic distances between french cities, are considered as the main comparison set.
The current approach use at first step a GRASP+ALNS metaheuristic, method known to provide good results in a short computation time. In a second step, a constraint programming model of the problem is used to shuffle the problem and provide an additional local search starting from the current solution. Data are exchanged iteratively in order to benefit from each solve step improvement.
The aim behind the use of multiple models is to expose the possible synergies between those methods. Multiple solve scenarios will be presented to discuss about the multiple layout available between the two previously mentioned solve steps and show their impact on the resolution.
This is my presentation at AMS 2017 97th annual meeting. The topic was mainly talking about how we utilized ADS-B data Mode-S data to complement the insufficient of traditional weather data on aviation meteorology.
If you are interested in my research, welcome to refer my paper at https://ams.confex.com/ams/97Annual/webprogram/Paper306201.html.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This presentation is a comparison of different clustering based on their computational time. This is the first step in creating open source and bespoke Geodemographic classifications in near real time.
Optimize Single Particle Orbital (SPO) Evaluations Based on B-splinesIntel® Software
Orbital representations that are based on B-splines are widely used in quantum Monte Carlo (QMC) simulations of solids, which historically take as much as 50 percent of the total runtime. Random access to a large four-dimensional array make it challenging to efficiently use caches and wide vector units in modern CPUs. So, we present node-level optimizations of B-spline evaluations on multicore and manycore shared memory processors.
To increase single instruction multiple data (SIMD) efficiency and bandwidth utilization, we first apply data layout transformation from an array of structures (AoS) to a structure of arrays (SoA). Then, by blocking SoA objects, we optimize cache reuse and get sustained throughput for a range of problem sizes. We implement efficient nested threading in B-spline orbital evaluation kernels, paving the way towards enabling strong scaling of QMC simulations, resulting with performance enhancements. Finally, we employ roofline performance analysis to model the impacts of our optimizations.
Uniformity in mechanical properties of the slab affects quality of subsequent rolling process. One of the most important factors deciding quality of the slab is fluctuation of the molten steel level in the mould. That is, smoothing pouring without fluctuating in the mould level means improvement in quality of the slab and protects break-out problem and allows high speed casting process. If molten steel surface fluctuates severely, the forming oscillation marks on the slab is unstable, solidification of molten steel is not uniform and there will be entrapment of mould powder in the solidified cast strand. It makes quality of the slab inferior and generates defects on the slab.
Reconfigurable CORDIC Low-Power Implementation of Complex Signal Processing f...Editor IJMTER
In recent years, CORDIC algorithms has been used extensively for various image processing
system& biomedical applications. By using CORDIC algorithm we can able to reducing the number of
iteration to process the image in the system. Low power design is to be challenging process during system
operations. Previous approaches scope to minimize the power consumption without image quality
consideration. In this paper CORDIC Based Low Power DCT iterations process equally based upon their
image quality. An hardware implementation of ROM & control logic circuit to require large hardware
space in this system. Look-ahead CORDIC Approach is used to finish the iteration at one time. When
reducing hardware area & reducing number of iterations for maximize battery lifetime. This idea used to
achieve the low power design of image and video compression application
VLSI Implementation of 32-Bit Unsigned Multiplier Using CSLA & CLAAIJMTST Journal
In this project we are going to compare the performance of different adders implemented to the multipliers based on area and time needed for calculation. The CLAA based multiplier uses the delay time of 99ns for performing multiplication operation where as in CSLA based multiplier also uses nearly the same delay time for multiplication operation. But the area needed for CLAA multiplier is reduced to 31 % by the CSLA based multiplier to complete the multiplication operation.
Visual odometry & slam utilizing indoor structured environmentsNAVER Engineering
Visual odometry (VO) and simultaneous localization and mapping (SLAM) are fundamental building blocks for various applications from autonomous vehicles to virtual and augmented reality (VR/AR).
To improve the accuracy and robustness of the VO & SLAM approaches, we exploit multiple lines and orthogonal planar features, such as walls, floors, and ceilings, common in man-made indoor environments.
We demonstrate the effectiveness of the proposed VO & SLAM algorithms through an extensive evaluation on a variety of RGB-D datasets and compare with other state-of-the-art methods.
Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...Intel® Software
Integrated into Intel® Advisor, Cache-aware Roofline Modeling (CARM) provides insight into how an application behaves by helping to determine a) how optimally it works on a given hardware, b) the main factors that limit performance, c) if the workload is memory or compute-bound, and d) the right strategy to improve application performance.
A Virtual Machine Placement Algorithm for Energy Efficient Cloud Resource Res...SuvomDas
In this slide, we are going to discuss a new graph colouring model for advance resource reservation with minimum energy consumption in heterogeneous IaaS cloud data centres. We will start with an exact integer linear programming (ILP) formulation which generalises the graph colouring problem mathematically and follow with a Energy Efficient Graph Pre colouring (EEGP) heuristic to address the scalability and to reduce convergence times. The results of performance evaluation and comparisons of EEGP with the exact algorithm will demonstrate the efficiency of EEGP for the energy efficient advance resource reservation problem.
We will see the efficiency of the EEGP algorithm by comparing it with the exact integer linear programming solution
Implementation of Energy Efficient Scalar Point Multiplication Techniques for...idescitation
Elliptic curve cryptography (ECC) is mainly an
alternative to traditional public-key cryptosystems (PKCs),
such as RSA, due to its smaller key size with same security
level for resource-constrained networks. The computational
efficiency of ECC depends on the scalar point multiplication,
which consists of modular point addition and point doubling
operations. The paper emphasizes on point multiplication
techniques such as Binary, NAF, w-NAF and different
coordinate systems like Affine and Projective (Standard
Projective, Jacobian and Mixed) for point addition and doubling
operations. These operations are compared based on execution
time. The results given here are for general purpose processor
with 1:73 GH z frequency. The implementation is done over
NIST-recommended prime fields 192/224/256/384/521.
Efficient processing of Rank-aware queries in Map/ReduceSpiros Oikonomakis
Through the experimental part and the execution of three different algorithms, aims to show the disadvantages of the default operation of the Map/Reduce programming model in Top-K queries, as well as the recommended solution and the effective processing of such query types. Two of the major shortcomings that occur will be managed, namely the Early Termination and the Load Balancing. There is a code which is implemented for this solution.
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