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Using Multivariate Statistics

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

[서평]「The Unified Modeling Language User Guide」

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

/pdf/handbook-of-software-reliability-engineering-32dwvaljmm.pdf

Handbook of software reliability engineering

コンピュータ・サイエンス : ACM computing surveys

This technology relates to a device and method for determining co-locatability of a plurality of virtual machines on one or more physical infrastructures. The plurality of virtual machines hosts a plurality of workloads. This involves identifying workloads which have high variability from the time series data and determining the workload capacity threshold of the identified workloads. Thereafter, the candidate workloads are selected among the identified workloads to colocate on a virtual machine based on the workload variability. After that, the total capacity required by each candidate workload pair to meet the service requirement is determined based on the workload capacity threshold. Then, an optimal sharing point of each workload of the pair with respect to the other workload of the pair is identified. Further, percentage compatibility of each workload pair is determined and finally, the candidate workloads are colocated based on the optimal sharing point and percentage compatibility.

Systems and methods for colocating virtual machines on one or more physical infrastructure

Container-based virtualization is becoming a preferred choice to deploy services since it is lightweight and supports on-demand scalability as well as availability. The Process Automation Industry has accepted this technology to make their applications service oriented. However, container-based microservice architecture is effective only when the original software strictly followed modularity principles during its design. In this article, we share our learning of converting a distributed software to a microservice-based architecture using containers. Though the existing system has a modular design and deployed as distributed components, analysis of the current architecture shows that the application is monolithic (though modularized) and the components are strongly coupled in an indirect manner. As a result, it turns to be impossible to attain microservice-based architecture without changing the architecture. Next, we propose a microservice-based containerized TO-BE architecture of the application, and demonstrate that this TO-BE architecture does not incur any significant overhead. Finally, we propose a set of recommendations that the practitioners can follow to convert a monolithic application to a containerized architecture.

Analysis, Evaluation, and Assessment for Containerizing an Industry Automation Software

The parallelizing transformation (hand-crafted or compiler-assisted) is error prone as it is often performed without verifying any semantic equivalence with the sequential counterpart. Even when the parallel program can be proved to be semantically equivalent with its corresponding sequential program, detecting data-race conditions in the parallel program remains a challenge. In this paper, we propose a formal verification approach that can detect data-race conditions while verifying the computational semantic equivalence of parallelizing loop transformations. We propose a coloured array data dependence graph (C-ADDG) based modeling of a program for verification of program equivalence as well as data-race condition detection across parallel loops. We have tested our tool on a set of Rodinia and PLuTo+ benchmarks and shown that our method is sound, whereby the method does not produce any false-positive program equivalence or data-race condition.

Data-race detection: the missing piece for an end-to-end semantic equivalence checker for parallelizing transformations of array-intensive programs

Design of systolic arrays from a set of nonlinear and nonuniform recurrence equations is discussed. A systematic method for deriving a systolic design in such cases is presented. A novel architectural idea, termed a tagged systolic array, is introduced. The design methodology described broadens the class of algorithms amenable for tagged systolic array implementation. The methodology is illustrated by deriving a systolic design for the fast Fourier transform.

Tagged systolic arrays

In recent times, there has been significant interest in collaborative robots where the tasks performed by a robot are non-repetitive and complex, and humans and robots share an overlapping workspace. In such a case, the robot controller must necessarily be safety-aware. In this paper, we propose a mechanism to evaluate a robot program and compute a safety score for each action that the robot is about to perform. To this end, we have implemented a code analyzer that examines the robot’s Move instructions and assigns a safety score. A subjective logic based approach is used to compute the safety score for each instruction. We have evaluated the approach through ABB’s RobotStudio® simulator. We simulate two scenarios: First, where two robots share a workspace and second, where a robot moves along a path with an obstacle. The simulations show that using our code analyzer and safety score formalism; it is possible to evaluate the application code for safety and enable avoidance of potentially unsafe behavior.

Santonu Sarkar

Papers

Systems and methods for colocating virtual machines on one or more physical infrastructure

Analysis, Evaluation, and Assessment for Containerizing an Industry Automation Software

Data-race detection: the missing piece for an end-to-end semantic equivalence checker for parallelizing transformations of array-intensive programs

Tagged systolic arrays

Improving Safety in Collaborative Robot Tasks