Application development

Members of the Geological Survey of Canada (GSC) have for several years been successfully developing digi- tal systems that aid geologists in the capture of fi eld data. In the past, development has been completed, or driven, by an individual researcher on a per project basis and, therefore, systems have been specifi c to that geologist's work. This sort of application development has often meant that the work takes place in virtual isolation and the resulting application can be very limited in scope or usability for other researchers. Due to the demands of business re-alignment in the GSC over the past few years, there has been an attempt to work toward a single system that could be used by a variety of researchers for the collection of fi eld informa- tion. To accomplish this broad-spectrum development, the work has been conducted in coordination with many mapping projects; this has proven advantageous in coordinating development between many projects across the organisation....

Many software security solutions require accurate tracking of control/data dependencies among information objects in network applications. This paper presents a general dynamic information flow tracking framework (called GIFT) for C programs that allows an application developer to associate applicationspecific tags with input data, instruments the application to propagate these tags to all the other data that are control/data-dependent on them, and invokes application-specific processing on output data according to their tag values. To use GIFT, an application developer only needs to implement input and output proxy functions to tag input data and to perform tag-dependent processing on output data, respectively. To demonstrate the usefulness of GIFT, we implement a complete GIFT application called Aussum, which allows selective sandboxing of network client applications based on whether their inputs are "tainted" or not. For a set of computation-intensive test applications, the measured elapsed time overhead of GIFT is less than 35%.

Preprocessors complicate refactoring because refactoring tools must manipulate unpreprocessed code. Working forward from Garrido's work on refactoring preprocessed C [1], we propose a general means by which preprocessor directives can be represented in a syntax tree for an arbitrary language. The representation is simple but general, based on the notions of token-whitetext affixes and substitution tokens. Moreover, we suggest that a preprocessing infrastructure can be completely independent of the language being preprocessed, allowing a single preprocessor to be reused among several refactoring tools and allowing numerous preprocessors to be plugged into a single refactoring tool.

This document specifies the Peer-to-Peer Streaming Protocol-Tracker Protocol (PPSP-TP), an application-layer control (signaling) protocol for the exchange of meta information between trackers and peers, such as initial offer/request of participation in multimedia content streaming, content information, peer lists and reports of activity and status. The specification outlines the architecture of the protocol and its functionality, and describes message flows, message processing instructions, message formats, formal syntax and semantics. The PPSP Tracker Protocol enables cooperating peers to form content streaming overlay networks to support near real-time Structured Media content (audio, video, associated text/metadata) delivery, such as adaptive multi-rate, layered (scalable) and multiview (3D), in live, time-shifted and on-demand modes. Status of this Memo This Internet-Draft is submitted to IETF in full conformance with the provisions of BCP 78 and BCP 79. Internet-Drafts are working documents of the Internet Engineering Task Force (IETF), its areas, and its working groups. Note that other groups may also distribute working documents as Internet-Drafts. Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference Gu, et al. Expires

This paper describes experience obtained through a joint project between a university research group and a shipping company in developing a prototype for a global customer service system. The research group had no previous knowledge of the complex business of shipping, but succeeded in developing a prototype that more than fulfilled the expectations of the shipping company. A major reason for the success of the project is due to an experimental and multiperspective approach to designing for practice. Some of the lessons to be learned for object-orientation are (1) analysis is more than finding nouns and verbs, (2) design is more than filling in details in the object-oriented analysis model, and (3) implementation is more than translating design models into code. Implications for system development in general and objectorientation in particular consist in the preliminary respecification of the classical working order: analysis-design-implementation.

In this paper, an algorithm for integrating software modules in the creation of a software package for information monitoring and decision-making of continuous production stages has been developed. The software complex consists of several modules. Modules installed in the client-server hardware, such as authentication, reading data from a video surveillance device, reading data from electronic scales, data entry, integration, information monitoring, decision-making modules. The data recorded by integrating the data is stored in a database on the server. Each program acts as a module and transmits data to another module. An integration algorithm was developed using an ontological approach to integrate software modules. This builds an ontology for each software module. Classes are developed based on ontology, and application modules are integrated based on class attributes. Metadata is stored in each class and attribute. Through the core class, metadata is received and transmitted fro...

nanoparticles (NPs) are a mainstay of current nanoscience and technology. With such a diversity of applications, developing a better understanding of the impact of macromolecular additives on single-phase fabrication routes, and ultimately on the resultant interfacial composition and structure (size, shape and dispersity), is critical to optimize performance and lower production cost. In-situ small-angle x-ray scattering (SAXS) is uniquely situated to directly monitor the morphological evolution of Au NPs from single phase reduction of Au(I) by tertbutylamine-borane. Deconvolution of the in-situ SAXS profiles provides direct information on the evolution of NP size, polydispersity and relative number density, as well as the onset of clustering and superstructure formation. The size-time profiles agree with mean-field calculations elucidating the role of ligands, their length and structure on the nucleation and growth kinetics as well as thermodynamic and structural characteristics of the Au NPs. In general, the combined approach provides new insights on the impact of additives on the various stages of NP formation and the ability to quantify particle-pair potentials and ascertain impact on assembly-de-assembly process of NP superstructures.

Summary This paper uses an empirical simulation model to examine links between trade policy, pollution and public health in Chile. Using a general equilibrium framework, we synthesize economic, engineering, and health data in a way that elucidates this complex relationship ...

In recent years, people are trying to make consumer electronics more powerful and have started to embed chips in these products to increase intelligence. Therefore, there should be a powerful application program to control the consumer electronics. For the above reasons, a distributed real-time framework and development environment is proposed, which can be used to produce distributed real-time applications for easily controlling electronics distributed around the world. Our framework consists of three modules: Standalone System, Control Client, and Host Agent. Each standalone system can be controlled by a control client and the host agents act as bridges connecting the standalone systems. Compared to conventional object-oriented application frameworks, our environment is not only modeled in UML, but also network-based, completely written in Java and hence highly portable, remotely controllable, and able to produce customized graphical user-inter faces for applications. Applications developed using the environment show its feasibility as a useful development aid.

I rapporti tecnici dell'ICAR-CNR sono pubblicati dall'Istituto di Calcolo e Reti ad Alte Prestazioni del Consiglio Nazionale delle Ricerche. Tali rapporti, approntati sotto l'esclusiva responsabilità scientifica degli autori, descrivono attività di ricerca del personale e dei collaboratori dell'ICAR, in alcuni casi in un formato preliminare prima della pubblicazione definitiva in altra sede.

We address the complete design flow from specification models of new automotive functions captured in Matlab-Simulink to their distributed execution on hierarchical bus-based electronic architectures hosting the release of already deployed automotive functions. We propose an automated design space exploration process resulting in a costoptimized extension of the existing target hardware and an allocation of balanced task structures automatically derived from the specification model on this modified target hardware which is sufficient to guarantee both system-level timing requirements and deadlines extracted from the Matlab-Simulink specification model.

Abstract. Semantic applications that utilise OWL ontologies can benefit from a broad range of OWL reasoning systems, which allow for the inference of implicit knowledge from explicitly given facts andaxioms. Different OWL reasoners, however, specialise in different reasoning problems or kinds of ontologies, and hence perform differently in certain reasoning scenarios. This paper presents a reasoning broker framework, which connects to different existing reasoning systems and intelligently delegates reasoning requests. The behaviour of the broker is controlled by exchangeable and configurable broker strategies featuring selection and parallelisation of reasoners, centralised caching, simulated anytime reasoning, and various other potential features. A first experiment shows performance improvement for a sequence of queries compared to the use of different single reasoners. 1

The aim of the work is to design and describe the methodology of determination of the spatial weighting function of ex-core detectors for the WWER-440 reactor type using Monte Carlo N-Particle Transport code MCNP-4C2, taking into account the different operational parameters such as power, burn-up, boric acid concentration and position of control assembly group No 6. The spatial weight function provides relationship between the spatial neutron flux density distribution or the fission density distribution in the reactor core and the detectors placed outside of the reactor core (ex-core detectors). The spatial weight function will be used for interpretation of reloads startup rod drop measurements, assessment of the ex-core detectors response at deep subcritical reactor stage and for other applications.

Emerging web applications are increasingly serving dynamic content generated by querying back-end database servers. The serving of dynamic content can be scaled by offloading applications and caching data at edge servers. In recent work, we proposed a persistent and self-managing edge-of-network data cache that is dynamically populated based on the application query stream and stored locally in a persistent database. In this paper, we discuss the challenges of cache maintenance in such a dynamic environment, focusing on replacement issues in the presence of update-based consistency protocols. We describe how our experience with a real prototype, built using a JDBC driver and DB2, highlights the limitations of traditional approaches. Furthermore, we propose a cache replacement mechanism and policy that address these challenges.

1SPEX, Nijmegen, Netherlands; 2Appen Pty Ltd, Chatswood, Australia; 3Siemens AG, Munich, Germany; 4UPC, Barcelona, Spain; 5S.L. “Atlas”, Barcelona, Spain; 6Loquendo Vocal Technology and Services, Turin, Italy ... The SALA II project comprises mobile telephone ...

JNTUH (Affiliated, Autonomous) Colleges Coputer Organization and Architecture Lecture Notes for Computer Science and Engineering(CSE), CSE - (AIML,AIDS), Information Technology and other Branches in Engineering and Arts and Science Group(CS,IT,AIDS,AIML,DS) etc

Containerization has taken cloud computing to a new level where application developers can develop an attractive way of deploying portable web apps. This paper compares Docker, one of the most popular containerization technologies, and Kubernetes based on their ability to manage cloud resources, advanced integration, and microservices implementation. Docker, which produces lightweight containers, reduces complexity in the application delivery process by including all the software components and their configurations. Kubernetes, in contrast, stands tall as a manufacturing tool for the automation of containerized application deployment, scaling, and management in clusters.
Here, the study's objective is to give a comparative analysis of Docker and Kubernetes to understand the best course of action. The research thus integrates a quantitative assessment of the performance of different algorithms based on simulated data with several case studies in various sectors, including e-commerce and software as a service (SaaS). Basic parameters of deployment velocity, resource consumption, system growth capabilities, and robustness of the two platforms are considered here as comprehensive measures.
The present study reveals that Docker can provide simple, portable solutions for small, small, and medium-scale applications. Kubernetes offers excellent orchestration solutions that are better for large-scale and complex applications. The study concludes that Docker and Kubernetes are suitable whenever specific project demands are involved. However, Docker stands out in a basic project setup and configuration, while Kubernetes functions better within the multi-cloud/ microservices conditions. The findings of this research are useful in informing organizations on their best practices when using containerization.

A special thank you is also extended to those individuals who attended the Open Data Public Forum. The comments and concerns expressed during this event provided a valuable insight into the public demand for Government data in Antigua & Barbuda.

All Treesearch publications were written or produced by Forest Service personnel and are in the public domain. ... Title: NHD, riverspill, and the development of the incident command tool for drinking water protection. ... Author: Samuels, William B.; Bahadur, Rakesh; Monteith, ...

This paper presents the Augmented Ambient project that aims to construct a highly interactive mobility scenario based on augmented reality applications running on heterogeneous multimedia devices. Mobility is made available through ambient networks, which are dynamic computer networks. A case study has been performed about a virtual museum, where users join a service network that includes art pieces visualization, broadcast interview, chat, and remote live auctions. These services are implemented in Desktop, Pocket PC and Symbian OS platforms. Each one has its own limitations related to processing power and content exhibition, which are considered during media exchange. The application development process for each supported platform is detailed in the text that presents also some libraries built to simplify and speed up the development, namely OgreAR, OGRE port for Pocket PC and CIDA, beyond the ambient networks related software infrastructure.

In 1968, Aristid Lindenmayer introduced a biologically-motivated formalism for simulating the development of multi-cellular organisms, subsequently named L-systems. The applications include, on one hand, the modeling and visualization of plants at different levels of abstraction for a variety of purposes, and, on the other hand, geometric modeling of curves and surfaces. In this paper, we introduce L-system for generating NiceGraph drawing of fullerenes C 20 and C 60 , without information about the carbon atoms coordination. We chose L-systems because they can express drawing steps in a compact way and are parallel in nature. It will be a good trend for visualizing complex supramolecules. Keywords L-system the figures of fullerenes turtle interpretation CROATICA CHEMICA ACTA CCACAA 81 (2) 341¿345 (2008)

Heterogeneous systems that integrate a multicore CPU and a GPU on the same die are ubiquitous. On these systems, both the CPU and GPU share the same physical memory as opposed to using separate memory dies. Although integration eliminates the need to copy data between the CPU and the GPU, arranging transparent memory sharing between the two devices can carry large overheads. Memory on CPU/GPU systems is typically managed by a software framework such as OpenCL or CUDA, which includes a runtime library, and communicates with a GPU driver. These frameworks offer a range of memory management methods that vary in ease of use, consistency guarantees and performance. In this study, we analyze some of the common memory management methods of the most widely used software frameworks for heterogeneous systems: CUDA, OpenCL 1.2, OpenCL 2.0, and HSA, on NVIDIA and AMD hardware. We focus on performance/functionality trade-offs, with the goal of exposing their performance impact and simplifying th...

2. Overall Objectives 2.1. General objectives Recent evolutions in distributed computing significantly increased the degree of uncertainty inherent to any distributed system and led to a scale shift that traditional approaches can no longer accommodate. The key to scalability in this context lies into fully decentralized and self-organizing solutions. The objective of the ASAP project team is to provide a set of abstractions and algorithms to build serverless large-scale distributed applications involving a large set of volatile, geographically distant, potentially mobile and/or resource-limited computing entities.

Scientific applications will have to scale to many thousands of processor cores to reach petascale. Therefore it is crucial to understand the factors that affect their scalability. Here we examine the strong scaling of four representative codes that exhibit different behaviors on four machines. We demonstrate the efficiency and analytic power of our performance monitoring tool, IPM, to understand the scaling properties of these codes in terms of their communication and computation components. Our analysis reveals complexities that would not become apparent from simple scaling plots; we disambiguate application from machine bottlenecks and attribute bottlenecks to communication or computation routines; we show by these examples how one could generate such a study of any application and benefit from comparing the result to the work already done. We evaluate the prospects for using extrapolation of results at low concurrencies as a method of performance prediction at higher concurrencies.

PriMan is presented; privacy-preserving user-centric identity management middleware which defines and groups the required functionality. It offers the application developer a uniform technology-agnostic interface to use and combine different types of privacy enhancing technologies. Moreover, the PriMan framework defines all the components and their functionality required to raise the development of privacy enhanced client-server applications to a higher level.

The Belgian Electronic Identity Card was introduced in 2002. The card enables Belgian citizens to prove their identity digitally and to sign electronic documents. Today, many application developers foresee e-ID plugins in their applications. Users may even be forced to use their e-ID card to access certain services. However, inappropriate use of the card may cause harm to individuals. This paper gives a detailed overview of privacy and security dangers re- lated to the Belgian e-ID card and the current middleware. Existing threats are classifled according to multiple categories. Finally, we point to possible solutions to tackle the weaknesses.

The organization of cloud services combined with generative artificial intelligence models is progressing in the training and construction of artificial intelligence. This paper focuses on how cloud computing can be utilized to fulfill the advanced needs to be met in generative AI and how the applicable approaches can be identified. Training methodologies with distributed systems, resources, and data pipelines and how to put models into production as serverless, containerized models at the edge are part of it. This paper also analyses the other complex structures of hardware that are AI-enabled, such as the GPUs, the TPUs, and the FPGAs, and how to feed these resources most efficiently and cheaply possible. Analyzing the trends for the future, the paper discusses the unique hardware for AI, consolidating AI services into multifunctional platforms, and sustainable trends to provide better progression of the AI-based cloud in the future. The aim is to present a definite picture of the potential of the cloud as an environment for the construction of generative AI models of high scalability and efficiency.

A Problem Solving Environment (PSE) is a complete, integrated computing environment for composing, compiling and running applications in a specific problem area or domain. We describe a visual code development tool within a PSE, which enables computational scientists to construct applications by connecting components. The granularity of each component can vary from being a complete code, to a mathematical routine such as a matrix or PDE solver. We first outline the requirements of such an environment, illustrating these with our implementation. The implementation of a computational electromagnetic solver is then described using this code development tool, based on a 2D boundary element code. We emphasise lessons learned, and the importance of using such an environment to support new application development.

The rapid ascent of machine learning (ML) within the domain of software development has catalyzed a reevaluation of traditional application architectures. This paper examines the integration of ML models as intrinsic components of existing software systems, challenging the notion that ML necessitates distinct "agentic architectures." We argue that established application architecture patterns—such as stateless and stateful services, microservices, and distributed systems—sufficiently address the requirements of ML integration. Through a comparative analysis, we align the functionalities of various AI "agent types" with these well-established patterns, advocating for their use to avoid unnecessary complexity. The paper presents case studies exemplifying successful ML integration, outlines best practices for embedding ML models into applications, and discusses the role of DevOps in managing the ML lifecycle. We emphasize the importance of ethical considerations and cross-disciplinary education in developing ML applications. By leveraging decades of application architecture wisdom, we propose a collaborative approach to foster innovation and create more intelligent, robust applications. This paper serves as a call to action for the ML and software engineering communities to unite their expertise, ensuring the development of ML models is grounded in proven architectural practices, thereby enhancing the capabilities of applications while maintaining structural integrity and reliability.

This paper presents the architecture of the VHD++ real-time development framework that after several years of intensive research, design, and development effort has been released and enters its validation phase. This paper discusses the key aspects involved in architectural structure, design and practical implementation of an efficient, flexible and extendible real-time software framework based on the modern 3D game-engine design principles. This framework supports researchers and application developers with rapid, component based development of VR/AR systems featuring advanced virtual character simulation technologies. The discussion covers motivation, main concepts, survey of related work, the main functional and design requirements, design principles and key architectural elements. It concludes with the initial validation results including overview of existing VHD++ based VR/AR virtual character simulation applications

The first decades of the new millennium will witness an explosive growth in the number and diversity of networked devices and portals. We foresee high degrees of mobility, heterogeneity, and interactions among computing devices connected to global networks. While previous research in distributed operating systems solved many problems related to resource management, they seldom addressed the problems of heterogeneity and dynamic adaptability. On the other hand, middleware solutions, like CORBA and Java/Jini, solve part of the heterogeneity problem by permitting seamless communication among different platforms. But, they do not address dynamic resource management and adaptability for applications requiring high-performance distributed computing. This paper presents 2K, an integrated operating system architecture that addresses the problems of resource management in heterogeneous networks, dynamic adaptability, and configuration of component-based distributed applications.

Stereoscopic tabletops collocate both user interaction and visualization spaces, fostering more natural freehand interaction metaphors to manipulate 3D virtual content. Thanks to a non-intrusive tracking solution, based on depth cameras, users can interact and manipulate virtual objects using both hands. In this position paper, we perform a comparative study of one multi-touch and four mid-air interaction techniques assigning the seven degrees of freedom (translation, rotation and uniform scaling) of 3D manipulation, symmetrically or asymmetrically between both hands. Author Keywords

Cloud-native architectures represent a paradigm shift in software development, enabling organizations to build scalable, resilient, and highly available applications. This transformation is driven by technologies such as microservices, containers, and Kubernetes, which provide the foundational elements for modern cloud environments. The shift towards cloud native development is motivated by the need for agility,
faster time-to-market, and the ability to handle largescale distributed systems efficiently.
Building cloud-native architectures from scratch
requires a thorough understanding of various best
practices and the challenges associated with them. Best
practices include adopting a microservices architecture,
utilizing containerization for application deployment,
employing continuous integration and continuous
delivery (CI/CD) pipelines, implementing robust
monitoring and logging mechanisms, and designing for
failure and resilience. These practices ensure that
applications are not only scalable and efficient but also
resilient to changes and failures.
However, adopting cloud-native architectures is not
without challenges. Organizations often face difficulties
related to cultural shifts, such as moving from traditional
monolithic architectures to microservices and managing
the complexities introduced by distributed systems.
Additionally, there are technical challenges, including
handling state management, ensuring security and
compliance, and dealing with the intricacies of orchestrating containers at scale. Addressing these
challenges requires a combination of technological
solutions, process changes, and a shift in organizational
culture.
This paper explores the best practices and challenges of
building cloud-native architectures from scratch. It
provides insights into the strategies for effectively
adopting cloud-native technologies and overcoming the
hurdles associated with them. By examining successful
case studies and recent advancements in the field, the
paper offers practical guidance for organizations
embarking on the cloud-native journey. Through a
comprehensive literature review, the research identifies
gaps in current knowledge and suggests areas for future
exploration.

GPUsaremassivelymultithreadedarchitecturesdesignedtoex- ploit data level parallelism in applications. Instruction fetch and memorysystemaretwokeycomponentsinthedesignofaGPU.In thispaperwestudytheeffectoffetchpolicyandmemorysystemon the performance of a GPU kernel. We vary the fetch and memory schedulingpoliciesandanalyzetheperformanceofGPUkernels. As part of our analysis we categorize applications as symmet- ricandasymmetricbasedontheinstructionlengthsofwarps. Our analysisshowsthatforsymmetricapplications,fairnessbasedfetch andDRAMpoliciescanimproveperformance. However,asymmet- ricapplicationsrequiremoresophisticatedpolicies. In this paper, we study the effect of the two key aspects ex- plained above - instruction fetch and DRAM scheduling. As part of our study, we classify applications into symmetric and asymmetric based on the lengths of the warps in an appli- cation. Our analyses yield the results that fairness oriented fetch and DRAM scheduling policies can improve the perfor- m...

The following paper describes the key architecture elements of the Virtual Laboratory Project, which is developed in the Poznań Supercomputing and Networking Center. Project started in 2002, and since then the work was carried under different statesponsored grants and now is carried under EU FP6 IST projects. The authors will explain briefly the main ideas and key design elements behind this original concept. The current state of the project will be presented, as the project reached its production phase, and plans for the near and far future will be revealed. A special attention will be given to the concept and implementation of Digital Science Library, as it plays an important role in the scope of the whole system. Although the various aspects of this system were presented on workshops and conferences, this paper brings together all the pieces, and presents the overall look on the entire scope of this Virtual Laboratory System.

While the majority of e-Infrastructures that are set up within the European Research Area by such projects as EGEE, DE-ISA etc. are basically focused on providing the high-performance computing support for scientific applications, a diverse set of the scientific communities coming from various fields (e.g. earthquake, environmental science, experimental science communities) develop and operate experimental equipment and remote instrumentation that have not been integrated yet or only partially integrated within the European Grid e-Infrastructure. The Deployment of Remote Instrumentation Infrastructure (DORII) project aims at setting up an advanced Grid-based e-Infrastructure specifically oriented to the support of remote instrumentation devices on Grid extending the level of scientific instruments' exploitation. The paper highlights the main application areas and usage scenarios, key tasks of the Remote Instrumentation Infrastructure's deployment and presents the joint research architecture for DORII in terms of advanced middleware solutions addressing the main tasks of identified applications.

Besides computation intensive tasks, the Grid also facilitates the sharing and processing of very large databases that are distributed over multiple resources and administrative domains. There are several lower level tools that manage and provide access to distributed databases and file systems. However, these tools offer only low level interfaces, or limited to browsing and transferring the data between Grid sites. This paper describes how data can be fed into and utilised in data driven computational workflows. The workflow engine of the P-GRADE Grid portal is used as an implementation platform to be integrated with different Grid data solutions. As an example, the paper describes how the portal and the workflow engine have been integrated with the SDSC Storage Resource Broker (SRB) in order to utilise SRB data resources as both inputs and outputs of workflow components. The solution automates data interaction in computational workflows allowing users to seamlessly access and process data stored in SRB resources.