Automatic Manager Research Articles

Programming heterogeneous architectures using hierarchical tasks

SummaryTask‐based systems have become popular due to their ability to utilize the computational power of complex heterogeneous systems. A typical programming model used is the Sequential Task Flow (STF) model, which unfortunately only supports static task graphs. This can result in submission overhead and a static task graph that is not well‐suited for execution on heterogeneous systems. A common approach is to find a balance between the granularity needed for accelerator devices and the granularity required by CPU cores to achieve optimal performance. To address these issues, we have extended the STF model in the StarPU runtime system by introducing the concept of hierarchical tasks. This allows for a more dynamic task graph and, when combined with an automatic data manager, it is possible to adjust granularity at runtime to best match the targeted computing resource. That data manager makes it possible to switch between various data layout without programmer input and allows us to enforce the correctness of the DAG as hierarchical tasks alter it during runtime. Additionally, submission overhead is reduced by using large‐grain hierarchical tasks, as the submission process can now be done in parallel. We have shown that the hierarchical task model is correct and have conducted an early evaluation on shared memory heterogeneous systems using the Chameleon dense linear algebra library.

Design and Implementation of Level Control Management: Level Manager

Water is one of the basic needs of all living beings. Wastage of water is one of the most significant reasons for water shortage around the world. At the household level, overflow of water from the overhead tanks may happen without our knowledge. Hence to prevent this and to save water at least for a certain extent, implementation of an automatic water level manager can be a solution. Significance of the proposed system is that the device can detect the level of water in the overhead tank and according to the level of water, the motor pump is switched on/off automatically by Arduino. Level of water in the sump can also be monitored. The information is sent to the controller for a decision whether water has to be pumped to the overhead tank. Additionally, the system senses continuous flow of water, if present, as possible leakage and issues alarm.

AWESoME: Big Data for Automatic Web Service Management in SDN

Software defined network (SDN) has enabled consistent and programmable management in computer networks. However, the explosion of cloud services and content delivery networks (CDNs)—coupled with the momentum of encryption—challenges the simple per-flow management and calls for a more comprehensive approach for managing Web traffic. We propose a new approach based on a “per service” management concept, which allows to identify and prioritize all traffic of important Web services, while segregating others, even if they are running on the same cloud platform, or served by the same CDN. We design and evaluate AWESoME, automatic Web service manager, a novel SDN application to address the above problem. On the one hand, it leverages big data algorithms to automatically build models describing the traffic of thousands of Web services. On the other hand, it uses the models to install rules in SDN switches to steer all flows related to the originating services. Using traffic traces from volunteers and operational networks, we provide extensive experimental results to show that AWESoME associates flows to the corresponding Web service in real-time and with high accuracy. AWESoME introduces a negligible load on the SDN controller and installs a limited number of rules on switches, hence scaling well in realistic deployments. Finally, for easy reproducibility, we release ground truth traces and scripts implementing AWESoME core components.

Automatic and Scalable Data Replication Manager in Distributed Computation and Storage Infrastructure of Cyber-Physical Systems

Cyber-Physical System (CPS) is a rising technology that utilizes computation and storage resources for sensing, processing, analysis, predicting, understanding of field-data, and then uses communication resources for interaction, intervene, and interface management, and finally provides control for systems so that they can inter-operate, evolve, and run in a stable evidence-based environment. There are two major demands when building the storage infrastructure for a CPS cluster to support above-mentioned functionalities: (1) high I/O and network throughput requirements during runtime, and (2) low latency demand for disaster recovery. To address challenges brought by these demands, in this paper, we propose a complete solution called AutoReplica - an automatic and scalable data replication manager in distributed computation and storage infrastructure of cyber-physical systems, using tiering storage with SSD (solid state disk) and HDD (hard disk drive). Specifically, AutoReplica uses SSD to absorb hot data and to maximize I/Os, and its intelligent replication scheme further helps to recovery from disaster. To effectively balance the trade-off between I/O performance and fault tolerance, AutoReplica utilizes the SSDs of remote CPS server nodes (which are connected by high speed fibers) to replicate hot datasets cached in the SSD tier of the local CPS server node. AutoReplica has three approaches to build the replica cluster in order to support multiple SLAs. AutoReplica automatically balances loads among nodes, and can conduct seamlessly online migration operation (i.e., migrate-on-write scheme), instead of pausing the subsystem and copying the entire dataset from one node to the other. Lastly, AutoReplica supports parallel prefetching from both primary node and replica node(s) with a new dynamic optimizing streaming technique to improve I/O performance. We implemented AutoReplica on a real CPS infrastructure, and experimental results show that AutoReplica can significantly reduce the total recovery time with slight overhead compared to the no replication cluster and traditional replication clusters.

Mission-Driven Resource Management for Reconfigurable Sensing Systems

Modern sensors, such as multifunctional radars, comprise many settings and the number of controllable settings is increasing due to technological advance. Although having many settings allows many capabilities, it simultaneously requires an automatic manager to control them. This paper proposes mission-driven resource management to control reconfigurable sensing systems during run time. It works as follows. First, expected mission success is defined from an end-user point of view. Because such criterion can eventually be mathematically linked to the adaptable parameters of the reconfigurable systems, these parameters can be optimally selected. To illustrate, a case study is considered where many heterogeneous high-level operational tasks (i.e., air defense, weather alarm, crowd control, and drone flight) have to be supported by several fully reconfigurable radio-frequency antenna front ends. This paper analytically and numerically compares the proposed mission-driven method that maximizes end-user's expectations for mission success, with a traditional task-driven one, that solely optimizes task performance characteristics. To conclude, by maximizing expected mission success, the systems are automatically adapted to new circumstances, and the end-user's mission is constantly supported by the system in the most effective way.

Adaptive Windows Layout Based on Evolutionary Multi-Objective Optimization

Large displays are becoming more and more pervasive, and their larger screen sizes provide an opportunity for users to see more information in more windows at the same time, but at the cost of managing a larger amount of screen space. Some methods of automatic window management have been studied with some success. However, they mainly focus on utilization of empty space and ignore preservation of the mental map of users, which tends to cause user confusion in practical use. This paper presents a genetic multi-objective optimization algorithm to automatically manage window layout with the aim of balancing the two aspects: utilization of screen space and mental map preservation. Results show that the method is capable of generating suitable window layouts for users and takes a key step toward developing an automatic windows manager.

Memory power optimization of Java-based embedded systems exploiting garbage collection information

Nowadays, Java is used in all types of embedded devices. For these memory-constrained systems, the automatic dynamic memory manager (Garbage Collector or GC) has been always a key factor in terms of the Java Virtual Machine (JVM) performance. Moreover, in current embedded platforms, power consumption is becoming as important as performance. Thus, in this paper we present an exploration, from an energy viewpoint, of the different possibilities of memory hierarchies for high-performance embedded systems when used by state-of-the-art GCs. This is a starting point for a better understanding of the interactions between the Java applications, the memory hierarchy and the GC. Hence, we subsequently present two techniques to reduce energy consumption on Java-based embedded systems, based on exploiting GC information. The first technique uses GC execution behavior to reduce leakage energy consumption taking advantage of the low-power mode of actual multi-banked SDRAM memories and it is intended for generational collectors. This technique can achieve a reduction up to 50% of SDRAM memory leakage. The second technique involves the inclusion of a software-controlled (scratch-pad) memory that stores GC instructions under the JVM control to reduce the active energy consumption and also improve the performance of the target embedded system and it is aimed at all kind of garbage collectors. For this last technique we have experimented with two different approaches for selecting the GC code to be stored in the scratchpad memory: one static and one dynamic. Our experimental results show that the proposed dynamic scratchpad management approach for GCs enables up to 63% energy consumption reduction and 25% performance improvement during the collector phase, which means, in terms of JVM execution, a global reduction of 29% and 17% for energy and cycles, respectively. Overall, this work outlines that the key for an efficient low-power implementation of Java Virtual Machines for high-performance embedded systems is the synergy between the GC choice, the memory architecture tuning, and the inclusion of power management schemes controlled by the JVM, exploiting knowledge of the GC behavior.

Aerial remote sensing in agriculture: A practical approach to area coverage and path planning for fleets of mini aerial robots

AbstractIn this paper, a system that allows applying precision agriculture techniques is described. The application is based on the deployment of a team of unmanned aerial vehicles that are able to take georeferenced pictures in order to create a full map by applying mosaicking procedures for postprocessing. The main contribution of this work is practical experimentation with an integrated tool. Contributions in different fields are also reported. Among them is a new one‐phase automatic task partitioning manager, which is based on negotiation among the aerial vehicles, considering their state and capabilities. Once the individual tasks are assigned, an optimal path planning algorithm is in charge of determining the best path for each vehicle to follow. Also, a robust flight control based on the use of a control law that improves the maneuverability of the quadrotors has been designed. A set of field tests was performed in order to analyze all the capabilities of the system, from task negotiations to final performance. These experiments also allowed testing control robustness under different weather conditions. © 2011 Wiley Periodicals, Inc.

Simulation research on LS RISC microprocessor

The system structure simulation in microprocessor has already become the main means of design-space-exploration (DSE) and optimizing systematic designing plan. Through research of LS RISC system structure modeling and analyses of the advanced simulation technology home and abroad, interpretive instruction set simulator LR-sim of LS RISC was designed and implemented. LR-sim was composed of decoder, pipeline, instruction attempter automatic machine, clock-driven model, resource manager and cache-memory system, in consideration of simulating efficiency while carrying on one grade of modeling of detailed grain size clock. A large number of tests show that this simulator helps to optimize the wire layout of the hardware, shortens hardware design cycle, and has stronger portability, operability and expansibility.

The Changes of Cuff Pressure from Endotracheal Intubation for Long-term Mechanical Ventilation

Background: A tracheal stenosis is caused by mucosal ischemic injury related to a high cuff pressure () of the endotracheal tube. In contrast, aspiration of the upper airway secretion and impaired gas exchange due to cuff leakage is related to a low . To prevent these complications, the should be kept appropriately because the appropriate appears to change according to the patient's daily respiratory mechanics. However, the constant cuff volume() has frequently been instilled to the cuff balloon on a daily basis to maintain the optimal instead of monitoring the directly at the patients' bedside. To address the necessity of continuous monitoring, the change in the was evaluated at various levels on a daily basis in patients with long-term mechanical ventilation. The utility of mercury column sphygmomanometer for the continuous monitoring was also investigated. Method: The change in according to the increase in was observed in 17 patients with prolonged endotracheal intubation for mechanical ventilation for 2 week or more. This maneuver measured the change in daily during the mechanical ventilation days. In addition, the measured by mercury column sphygmomanometer was compared with the measured by an automatic cuff pressure manager. Results : There were no statistically significant changes of during more than 14 days of intubation for mechanical ventilation. However the required to maintain the appropriate varied from 1.9 cc to 9.6 cc. In addition, the intra-individual variation of the was observed from 10 to 46 at constant 3 cc . The measured by the bedside mercury column sphygmomanometer is well coincident with that measured by the automatic cuff pressure manager. Conclusion: Continuous monitoring and management of the to maintain the appropriate level in order to prevent cuff related problems during long-term mechanical ventilation is recommended. For this purpose, mercury column sphygmomanometer may replace the specific cuff pressure monitoring equipment.

Kanban—automatic constraints manager

Kanban automatically and visually synchronizes operations, one pair of processes at a time. It is the ultimately simple, effective constraints manager. © 2000 John Wiley & Sons, Inc.

Waves4U: Waveform Availability Through AutoDRM's

Research Article| January 01, 2000 Waves4U: Waveform Availability Through AutoDRM's Urs Kradolfer Urs Kradolfer Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2000) 71 (1): 79–82. https://doi.org/10.1785/gssrl.71.1.79 Article history first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Urs Kradolfer; Waves4U: Waveform Availability Through AutoDRM's. Seismological Research Letters 2000;; 71 (1): 79–82. doi: https://doi.org/10.1785/gssrl.71.1.79 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search It's time to revisit one of the more successful and popular seismic data access systems available on the Internet. The Automatic Data Request Manager (AutoDRM) is approaching ten years old but is going strong, providing access to ever-increasing amounts of seismic data for more and more users. A fairly complete description of the development of the AutoDRM was one of the first guest columns of the Electronic Seismologist back in the summer of 1996. The system has undergone relatively few changes and enhancements since then, attesting to its original good design and thoughtful execution. If anything, its success is also... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

ORFEUS, a European initiative in broadband seismology: status and future plans

Observatories and Research Facilities for European Seismology (ORFEUS) is the European initiative for the coordination of broadband seismology in Europe and the Mediterranean area. The organization is unique in its field, because it does not operate any stations, but acts as an intermediate between data users and data producers. The core activity of ORFEUS is the operation of a data center, which archives seismic waveform data of large seismic events and offers both off-line (CD-ROM) and on-line (Internet, WWW) access to both the archived data and global near real time Spyder® data. ORFEUS coordination function is largely realized through its working groups and web site, which presently provide, among others, station siting and equipment overviews, technical information and support and a Seismological Software Library (SSL). Cooperation with other centers, for example, on data formats, is coordinated through the Federation of Digital Seismograph Networks (FDSN). Future developments emphasize improved data access through the Internet (WWW, Automatic Data Request Manager, NetDC protocol) and a regional version of the Global Spyder®: EuroSpyder. Regularly, work meetings and workshops are organized to discuss future developments and its impact on ORFEUS.

The importance of systems management for a Parallel Sysplex

IBM S/390® Parallel Sysplex™, a multisystem parallel processing environment, provides benefits in terms of reliability, availability, and the total cost of computing. These benefits, however, bring about a systems management challenge because of the increased number of address spaces that need to be managed. This paper describes how CICSPlex® System Manager (SM) for MVS/ESA™ provides simplified systems management of multiple CICS® regions within a sysplex environment. CICSPlex SM provides workload-sensitive balancing of CICS transactions, a single-system image for CICS operations and monitoring, and general-purpose thresholds for resource conditions within CICS. It also describes how CICSPlex SM is integrated with the MVS workload manager, the MVS automatic restart manager, and automation products such as NetView® and the NetView resource object data model (RODM).

AutoDRM--The First Five Years

Research Article| July 01, 1996 AutoDRM--The First Five Years Urs Kradolfer Urs Kradolfer Search for other works by this author on: GSW Google Scholar Seismological Research Letters (1996) 67 (4): 30–33. https://doi.org/10.1785/gssrl.67.4.30 Article history first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Urs Kradolfer; AutoDRM--The First Five Years. Seismological Research Letters 1996;; 67 (4): 30–33. doi: https://doi.org/10.1785/gssrl.67.4.30 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search This content is PDF only. Please click on the PDF icon to access. First Page Preview Close Modal You do not currently have access to this article.

Better C

C programmers are plagued by a variety of problems rooted at the language level. Memory corruption and memory leakage are two related problems that are hard to fix. The results are delayed or failed software projects.Better C is an Object-Oriented language based on the C language. Better C supports exception handling, the separation of abstraction versus implementation, and most importantly, an automatic memory manager suitable for interactive applications.With Better C, programmers can routinely write programs without memory problems.The motivation, and the description of Better C will be presented, with some examples to illustrate the key points.