基于ArcGIS Runtime for WPF的触摸屏施肥咨询系统集成与应用

为了更高效地推广科学施肥技术,开发集成了基于Arc GIS Runtime for WPF的触摸屏施肥咨询系统。使用既有瓦片影像高效生成高清离线多级瓦片缓存地图包技术和基于专家知识库的施肥方案,降低了用户门槛,提升了用户体验,使得测土配方施肥技术面向基层的全面推广变得更为可行。

基于ArcGIS Runtime SDK for Android离线编辑关键技术应用研究

近年来,传统的外业调绘模式逐渐向内外业一体化模式转变。本文以地理国情内外业一体化系统为依托,重点研究了ESRI的离线编辑关键技术,介绍了基于ArcGIS Runtime SDK for Android实现的离线编辑功能,以面修形算法为例,在细粒度的几何编辑基础上实现了常见的外业编辑业务。

Runtime系统综述

Runtime systems play an important role in parallel programming and parallel compilation. In this paper,goals and key techniques of runtime systems are presented. And some experiences and its trend are given in the end.

基于ArcGIS runtime SDk for.net的初中地理信息教学系统的设计与实现

本文将Esri公司的Arc GIS runtime SDK for.net技术、数据库技术与地理信息系统(geographic information system)的开发理念相结合,设计出一个基于Arc GIS技术的初中地理信息教学系统。在本篇文章中,对该系统的相关体系的结构设计、功能模块的设计、以及系统得以完成运转的关键技术等相关内容进行了比较完整的论述,经过相关测试和实际应用证明其可行性和合理性。

基于ArcGIS Runtime测绘信息管理系统的设计与实现

信息化是当今时代发展的趋势,代表着先进生产力,为了提高测绘数据的利用效率,对历年的数据进行分析整理,基于ArcGIS Runtime平台,使用C/S体系架构开发了测绘信息管理系统,该系统能够对地形数据、影像数据和业务数据等进行查询浏览,并对数据进行提取分析,为业务发展和人员结构调整提供有力支撑。

MATLAB Runtime Server的应用技巧

在设计自动控制原理多媒体CAI课件的过程中,需要将MATLAB编制的一个用以简单分析系统(包括绘制根轨迹、伯德图、乃奎斯特图、阶跃响应、脉冲响应)的GUI应用程序完全脱离庞大的MATLAB平台,并使之嵌入到用Authorware制作的课件中。探索中,我们找到了一种比较简洁的方法,即使用MATLAB Runtime Server工具箱,解决了MATLAB无法成为可执行文件的难题。本文将详细介绍MATLAB Runtime Server工具箱及其使用技巧.

Runtime environment for reflective real-time component

Reflective real-time component model is a special component model, which can identify timing constraint characteristics of component and support dynamic design-time amendment of real-time component according to users＇ requirements. The reflective real-time component runtime environment is a bearing space and reflective infrastructure for this special component model. It consists of three parts and manages the lifecycle and various relevant services of reflective real-time component. In this paper its mechanism and relevant key techniques in design and realization are formally specified with the communicating sequential processing （CSP） and the extended timed communicating sequential processing （TCSP）. Finally a prototype is established. Experimental study shows that this runtime environment can introduce a relevant reflective infrastructure guaranteeing dynamic and real-time features of software component.

Systematic Approach for Web Protection Runtime Tools’Effectiveness Analysis

Web applications represent one of the principal vehicles by which attackers gain access to an organization’s network or resources.Thus,different approaches to protect web applications have been proposed to date.Of them,the two major approaches are Web Application Firewalls(WAF)and Runtime Application Self Protection(RASP).It is,thus,essential to understand the differences and relative effectiveness of both these approaches for effective decisionmaking regarding the security of web applications.Here we present a comparative study between WAF and RASP simulated settings,with the aim to compare their effectiveness and efficiency against different categories of attacks.For this,we used computation of different metrics and sorted their results using F-Score index.We found that RASP tools scored better than WAF tools.In this study,we also developed a new experimental methodology for the objective evaluation ofweb protection tools since,to the best of our knowledge,nomethod specifically evaluates web protection tools.

基于ArcGIS Runtime SDK平台的手机地图应用开发

本文首先介绍ArcGIS Runtime SDK开发手机地图应用的环境配置步骤,然后详细介绍了如何应用ArcGIS Runtime SDK中的API开发地图加载显示功能、GNSS定位功能、地物搜索功能、路径规划功能以及离线地图功能。最后,介绍基于ArcGIS Runtime SDK开发的应用程序在野外施工现场使用效果。

iOS底层解析Runtime实现原理

针对常用的技术点进行源码剖析,分析Runtime数据结构的底层实现原理。本论文所采用的底层源码基于objc-runtime-680版本。

Container Instrumentation and Enforcement System for Runtime Security of Kubernetes Platform with eBPF

Containerization is a fundamental component of modern cloud-native infrastructure,and Kubernetes is a prominent platform of container orchestration systems.However,containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers,which can lead to container breakout or privilege escalation.Kubernetes cannot avoid it as well.While various tools,such as container image scanning and configuration checking,can mitigate container workload vulnerabilities,these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in runtime.As such,a policy enforcement solution is required to tackle the problem,and existing solutions based on LSM(Linux Security Module)frameworks may not be adequate for some situations.To address this,we propose an enforcement system based on BPF-LSM,which leverages eBPF(extended Berkeley Packet Filter)technology to provide fine-grained control and dynamic adoption of security policies.In this paper,we compare different LSM implementations to highlight the challenges of current enforcement solutions before detailing the design of our eBPF-based Kubernetes Runtime Instrumentation and Enforcement System(KRSIE).Finally,we evaluate the effectiveness of our system using a real-world scenario,as measuring the performance of a policy enforcement system is a complex task.Our results show that KRSIE can successfully control containers’behaviors using LSM hooks at container runtime,offering improved container security for cloud-native infrastructure.

Management of Intelligent Campus Wireless Sensor Networks Based on Runtime Model

To quick customize and develop intelligent campus internet of things (ICIOT) system more efficiently, in this paper an approach based on runtime model to managing intelligent campus wireless sensor networks is proposed. Firstly, manageability of intelligent campus wireless sensors is abstracted as runtime models which automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models. Then, a composite model of intelligent campus wireless sensors is constructed through merging their runtime models in order to manage different kinds of devices in a unified way. Finally, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and the composite model is ensured through model transformation. Thus, all the management tasks can be carried through executing operating programs on the customized model. In the part of the teaching area schools conducted experiments and compared with the traditional method, this method can be more effective management of campus facilities, more energy efficient and orderly, which can reach a 16.7% energy saving.

自己的路自己走——评《Customizing the Microsoft．NET Framework Common Language Runtime》

.NET Framework的核心是CLR。由于参考数据不齐全，我们很难轻易地得知CLR的全部细节，仅能透过Jeffrey Richter的《Applied Microsoft．NET Framework Programming》、Don Box的《Essential．NET，Volume I：The Common Language Runtime》、David Stutz／Ted Neward／Geoff Shilling的《Shared Source CLI Essentials》，

NCCMF:Non-Collaborative Continuous Monitoring Framework for Container-Based Cloud Runtime Status

The security performance of cloud services is a key factor influencing users’selection of Cloud Service Providers(CSPs).Continuous monitoring of the security status of cloud services is critical.However,existing research lacks a practical framework for such ongoing monitoring.To address this gap,this paper proposes the first NonCollaborative Container-Based Cloud Service Operation State Continuous Monitoring Framework(NCCMF),based on relevant standards.NCCMF operates without the CSP’s collaboration by:1)establishing a scalable supervisory index system through the identification of security responsibilities for each role,and 2)designing a Continuous Metrics Supervision Protocol(CMA)to automate the negotiation of supervisory metrics.The framework also outlines the supervision process for cloud services across different deployment models.Experimental results demonstrate that NCCMF effectively monitors the operational state of two real-world IoT(Internet of Things)cloud services,with an average supervision error of less than 15%.

Hardware-Software Collaborative Techniques for Runtime Profiling and Phase Transition Detection

Dynamic optimization relies on runtime profile information to improve the performance of program execution. Traditional profiling techniques incur significant overhead and are not suitable for dynamic optimization. In this paper, a new profiling technique is proposed, that incorporates the strength of both software and hardware to achieve near-zero overhead profiling. The compiler passes profiling requests as a few bits of information in branch instructions to the hardware, and the processor executes profiling operations asynchronously in available free slots or on dedicated hardware. The compiler instrumentation of this technique is implemented using an Itanium research compiler. The result shows that the accurate block profiling incurs very little overhead to the user program in terms of the program scheduling cycles. For example, the average overhead is 0.6% for the SPECint95 benchmarks. The hardware support required for the new profiling is practical. The technique is extended to collect edge profiles for continuous phase transition detection. It is believed that the hardware-software collaborative scheme will enable many profile-driven dynamic optimizations for EPIC processors such as the Itanium processors.

Runtime Monitoring Composite Web Services Through Stateful Aspect Extension

The execution of composite Web services with WS-BPEL relies on externally autonomous Web services. This implies the need to constantly monitor the running behavior of the involved parties. Moreover, monitoring the execution of composite Web services for particular patterns is critical to enhance the reliability of the processes. In this paper, we propose an aspect-oriented framework as a solution to provide monitoring and recovery support for composite Web services. In particular, this framework includes 1） a stateful aspect based template, where history-based pointcut specifies patterns of interest cannot be violated within a range, while advice specifies the associated recovery action; 2） a tool support for runtime monitoring and recovery based on aspect-oriented execution environment. Our experiments indicate that the proposed monitoring approach incurs minimal overhead and is efficient.

Runtime model based approach to IoT application development

The internet of things （loT） attracts great interest in many application domains concerned with monitoring and ：ontrol of physical phenomena. However, application devel- opment is still one of the main hurdles to a wide adoption of IoT technology. Application development is done at a low level, very close to the operating system and requires pro- grammers to focus on low-level system issues. The under- lying APIs can be very complicated and the amount of data collected can be huge. This can be very hard to deal with as a developer. In this paper, we present a runtime model based approach to IoT application development. First, the manage- ability of sensor devices is abstracted as runtime models that are automatically connected with the corresponding systems. Second, a customized model is constructed according to a personalized application scenario and the synchronization be- tween the customized model and sensor device runtime mod- els is ensured through model transformation. Thus, all the application logic can be carried out by executing programs on the customized model. An experiment on a real-world ap- plication scenario demonstrates the feasibility, effectiveness, and benefits of the new approach to IoT application develop- ment.

A novel index system describing program runtime characteristics for workload consolidation

Workload consolidation is a common method to improve the resource utilization in clusters or data centers. In order to achieve efficient workload consolidation, the runtime characteristics of a program should be taken into con-sideration in scheduling. In this paper, we propose a novel index system for efficiently describing the program runtime characteristics. With the help of this index system, programs can be classified by the following runtime characteristics: 1) dependence to multi-dimensional resources including CPU, disk I/O, memory and network I/O;and 2) impact and vulnerability to resource sharing embodied by resource usage and resource sensitivity. In order to verify the effectiveness of this novel index system in workload consolidation, a scheduling strategy, Sche-index, using the new index system for workload consolidation is proposed. Experiment results show that compared with traditional least-loaded scheduling strategy, Sche-index can improve both program performance and system resource utilization significantly.

TRAP:trace runtime analysis of properties

We present a method and a tool for the verification of causal and temporal properties for embedded systems.We analyze trace streams resulting from the execution of virtual prototypes that combine simulated hardware and embedded software.The main originality lies in the use of logical clocks to abstract away irrelevant information from the trace.We propose a model-based approach that relies on domain specific languages(DSL).A first DSL,called TISL(trace item specification language),captures the relevant data structures.A second DSL,called STML(simulation trace mapping language),abstracts the simulation raw data into logical clocks,abstracting simulation data into relevant observation probes and thus reducing the trace streams size.The third DSL,called TPSL,defines a set of behavioral patterns that include widely used temporal properties.This is meant for users who are not familiar with temporal logics.Each pattern is transformed into an automata.All the automata are executed concurrently and each one raises an error if and when the related TPSL property is violated.The contribution is the integration of this pattern-based property specification language into the SimSoC virtual prototyping framework without requiring to recompile all the simulation models when the properties evolve.We illustrate our approach with experiments that show the possibility to use multi-core platforms to parallelize the simulation and verification processes,thus reducing the verification time.

Runtime Engine for Dynamic Profile Guided Stride Prefetching

Stride prefetching is recognized as an important technique to improve memory access performance. The prior work usually profiles and/or analyzes the program behavior offline, and uses the identified stride patterns to guide the compilation process by injecting the prefetch instructions at appropriate places. There are some researches trying to enable stride prefetching in runtime systems with online profiling, but they either cannot discover cross-procedural prefetch opportunity, or require special supports in hardware or garbage collection. In this paper, we present a prefetch engine for JVM （Java Virtual Machine）. It firstly identifies the candidate load operations during just-in-time （JIT） compilation, and then instruments the compiled code to profile the addresses of those loads. The runtime profile is collected in a trace buffer, which triggers a prefetch controller upon a protection fault. The prefetch controller analyzes the trace to discover any stride patterns, then modifies the compiled code to inject the prefetch instructions in place of the instrumentations. One of the major advantages of this engine is that, it can detect striding loads in any virtual code places for both regular and irregular code, not being limited with plain loop or procedure scopes. Actually we found the cross-procedural patterns take about 30% of all the prefetchings in the representative Java benchmarks. Another major advantage of the engine is that it has runtime overhead much smaller （the maximal is less than 4.0%） than the benefits it brings. Our evaluation with Apache Harmony JVM shows that the engine can achieve an average 6.2% speed-up with SPECJVM98 and DaCapo on Intel Pentium 4 platform, in spite of the runtime overhead.