Relevant bibliographies by topics / Resource allocation Electronic data processing Real-time data processing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Resource allocation Electronic data processing Real-time data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Resource allocation Electronic data processing Real-time data processing"

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Qin, Zhenquan, Zanping Cheng, Chuan Lin, Zhaoyi Lu, and Lei Wang. "Optimal Workload Allocation for Edge Computing Network Using Application Prediction." Wireless Communications and Mobile Computing 2021 (March 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/5520455.

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By deploying edge servers on the network edge, mobile edge computing network strengthens the real-time processing ability near the end devices and releases the huge load pressure of the core network. Considering the limited computing or storage resources on the edge server side, the workload allocation among edge servers for each Internet of Things (IoT) application affects the response time of the application’s requests. Hence, when the access devices of the edge server are deployed intensively, the workload allocation becomes a key factor affecting the quality of user experience (QoE). To so
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Pi, Weichao, and Jianming Zhou. "Multi-UAV Enabled Data Collection with Efficient Joint Adaptive Interference Management and Trajectory Design." Electronics 10, no. 5 (2021): 547. http://dx.doi.org/10.3390/electronics10050547.

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This paper studies interference in a data collection scenario in which multiple unmanned aerial vehicles (UAVs) are dispatched to wirelessly collect data from a set of distributed sensors. To improve the communication throughput and minimize the completion time, we design a joint resource allocation and trajectory optimization framework that not only is compatible with the traditional time-division scheme and interference coordination scheme but also combines their advantages. First, we analyse a basic quasi-stationary scenario with two UAVs and four devices, in which the two UAVs hover at opt
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Chen, Jing, and Yinglong Wang. "A Hybrid Method for Short-Term Host Utilization Prediction in Cloud Computing." Journal of Electrical and Computer Engineering 2019 (March 14, 2019): 1–14. http://dx.doi.org/10.1155/2019/2782349.

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Dynamic resource scheduling is a critical activity to guarantee quality of service (QoS) in cloud computing. One challenging problem is how to predict future host utilization in real time. By predicting future host utilization, a cloud data center can place virtual machines to suitable hosts or migrate virtual machines in advance from overloaded or underloaded hosts to guarantee QoS or save energy. However, it is very difficult to accurately predict host utilization in a timely manner because host utilization varies very quickly and exhibits strong instability with many bursts. Although machin
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Mijuskovic, Adriana, Alessandro Chiumento, Rob Bemthuis, Adina Aldea, and Paul Havinga. "Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification." Sensors 21, no. 5 (2021): 1832. http://dx.doi.org/10.3390/s21051832.

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Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications. A promising alternative is to use fog and edge computing, which address the issue of managing the large data bandwidth needed by end devices. These paradigms impose to process the large amounts of generated data close to the data sources rather than in the cloud. One of the considerations of cloud-based IoT environments is resource management, which typically revolves around resource allocation, workload balance, resource provisioning, task
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Singh, Manish Kumar, Syed Intekhab Amin, and Amit Choudhary. "A survey on the characterization parameters and lifetime improvement techniques of wireless sensor network." Frequenz 75, no. 9-10 (2021): 431–48. http://dx.doi.org/10.1515/freq-2020-0163.

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Abstract Emerging technologies, such as the Internet of things (IoT), machine learning (ML) and machine-to-machine networks encourage deployment of large-scale wireless sensor networks (WSNs). The major problem in WSN is the limited energy of node batteries. Therefore, the efficient use of node energy for data sensing, processing and communication operations is important to maintain a fully operational network for longest period of time. Literature presents a wide range of lifetime maximization techniques for WSN such as resource allocation algorithm, clustering and routing, sleep–wake schedul
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Urmonov, Odilbek, and HyungWon Kim. "Highly Reliable MAC Protocol Based on Associative Acknowledgement for Vehicular Network." Electronics 10, no. 4 (2021): 382. http://dx.doi.org/10.3390/electronics10040382.

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IEEE 1609/802.11p standard obligates each vehicle to broadcast a periodic basic safety message (BSM). The BSM message comprises a positional and kinematic information of a transmitting vehicle. It also contains emergency information that is to be delivered to all the target receivers. In broadcast communication, however, existing carrier sense multiple access (CSMA) medium access control (MAC) protocol cannot guarantee a high reliability as it suffers from two chronic problems, namely, access collision and hidden terminal interference. To resolve these problems of CSMA MAC, we propose a novel
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Kumaresh, Sakthi, and Ramachandran Baskaran. "Mining Software Repositories for Defect Categorization." Journal of Communications Software and Systems 11, no. 1 (2015): 31. http://dx.doi.org/10.24138/jcomss.v11i1.115.

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Early detection of software defects is very important to decrease the software cost and subsequently increase the software quality. Success of software industries not only depends on gaining knowledge about software defects, but largely reflects from the manner in which information about defect is collected and used. In software industries, individuals at different levels from customers to engineers apply diverse mechanisms to detect the allocation of defects to a particular class. Categorizing bugs based on their characteristics helps the Software Development team take appropriate actions to
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Gil Molk, Ali Mohammad Norouzzadeh, Mohammad Reza Aref, and Reza Ramazani Khorshiddoust. "Analysis of design goals of cryptography algorithms based on different components." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 540. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp540-548.

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Cryptography algorithms are a fundamental part of a cryptographic system that is designed and implemented to increase information security. They are the center of attention of experts in the information technology domains. Although the cryptography algorithms are implemented to attainthe goals such as confidentially, integrity and authenticity of designing, but other matters that must be noticed by designers include speed, resource consumption, reliability, flexibility, usage type and so on. For the useful allocation of hardware, software, human resources, etc., it is important to identify the
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Qureshi, Muhammad Shuaib, Muhammad Bilal Qureshi, Muhammad Fayaz, Muhammad Zakarya, Sheraz Aslam, and Asadullah Shah. "Time and Cost Efficient Cloud Resource Allocation for Real-Time Data-Intensive Smart Systems." Energies 13, no. 21 (2020): 5706. http://dx.doi.org/10.3390/en13215706.

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Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras that produce video streams in real-time, cloud gaming, social media streams, etc.). Such low-end devices form a microgrid which has low computational and storage capacity and hence offload data unto the cloud for processing. Cloud computing still lack
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Kurebayashi, Ryosuke, and Hiroaki Nishikawa. "A program allocation method for real-time processing based on data-driven processors." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 90, no. 6 (2007): 48–60. http://dx.doi.org/10.1002/ecjc.20324.

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Dissertations / Theses on the topic "Resource allocation Electronic data processing Real-time data processing"

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Ivan-Roşu, Daniela. "Dynamic resource allocation for adaptive real-time applications." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/9200.

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Lenharth, Andrew D. "Algorithms for stable allocations in distributed real-time resource management systems." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1102697777.

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Zhao, Hang. "Finding stable allocations in distributed real-time systems with multiple environmental parameters and replicable application." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1113854894.

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Chen, Liang. "A grid-based middleware for processing distributed data streams." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1157990530.

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Drougas, Ioannis. "Rate allocation in distributed stream processing systems." Diss., [Riverside, Calif.] : University of California, Riverside, 2008. http://proquest.umi.com/pqdweb?index=0&did=1663077971&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268240766&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2008.<br>Includes abstract. Title from first page of PDF file (viewed March 10, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 93-98). Also issued in print.
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Zhao, Haiquan. "Measurement and resource allocation problems in data streaming systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34785.

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In a data streaming system, each component consumes one or several streams of data on the fly and produces one or several streams of data for other components. The entire Internet can be viewed as a giant data streaming system. Other examples include real-time exploratory data mining and high performance transaction processing. In this thesis we study several measurement and resource allocation optimization problems of data streaming systems. Measuring quantities associated with one or several data streams is often challenging because the sheer volume of data makes it impractical to store the
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Shah, Purvi. "A PRIORITY-BASED RESOURCE MANAGEMENT APPROACH FOR DYNAMIC AND HARD MISSION CRITICAL REAL-TIME SYSTEMS." Ohio University / OhioLINK, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1113835813.

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Jain, Shikha. "Coordinated management of resource allocations and application quality of service level adaptation for real-time systems." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174666325.

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Abell, Stephen W. "Parallel acceleration of deadlock detection and avoidance algorithms on GPUs." Thesis, 2013. http://hdl.handle.net/1805/3653.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Current mainstream computing systems have become increasingly complex. Most of which have Central Processing Units (CPUs) that invoke multiple threads for their computing tasks. The growing issue with these systems is resource contention and with resource contention comes the risk of encountering a deadlock status in the system. Various software and hardware approaches exist that implement deadlock detection/avoidance techniques; however, they lack either the speed or problem size capability needed for real-time systems. The researc
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"A task allocation protocol for real-time financial data mining system." 2003. http://library.cuhk.edu.hk/record=b5896123.

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Lam Lui-fuk.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.<br>Includes bibliographical references (leaves 75-76).<br>Abstracts in English and Chinese.<br>ABSTRACT --- p.I<br>摘要 --- p.II<br>ACKNOWLEDGEMENT --- p.III<br>TABLE OF CONTENTS --- p.IV<br>LIST OF FIGURES --- p.VIII<br>LIST OF ABBREVIATIONS --- p.X<br>Chapter CHAPTER 1 --- INTRODUCTION --- p.1<br>Chapter 1.1 --- Introduction --- p.1<br>Chapter 1.2. --- Motivation and Research Objective --- p.3<br>Chapter 1.3. --- Organization of the Dissertation --- p.3<br>Chapter CHAPTER 2 --- BACKGROUND STUDIES --- p.5<br>Cha
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Books on the topic "Resource allocation Electronic data processing Real-time data processing"

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Real-time management of resource allocation systems: A discrete event systems approach. Springer, 2005.

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Reveliotis, Spyros A. Real-Time Management of Resource Allocation Systems: A Discrete Event Systems Approach. Springer, 2010.

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Reveliotis, Spyros A. Real-Time Management of Resource Allocation Systems: A Discrete Event Systems Approach (International Series in Operations Research & Management Science). Springer, 2004.

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Brinkmann, Peter. Making Musical Apps: Real-Time Audio Synthesis on Android and IOS. O'Reilly Media, Incorporated, 2012.

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Conference papers on the topic "Resource allocation Electronic data processing Real-time data processing"

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Li, Hongfei, and Hendrik F. Hamann. "A Statistical Approach to Thermal Zone Mapping." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52192.

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Although in most buildings the spatial allocation of cooling resources can be managed using multiple air handling units and an air ducting system, it can be challenging for an operator to leverage this capability, partially because of the complex interdependencies between the different control options. This is in particular important for data centers, where cooling is a major cost while the sufficient allocation of cooling resources has to ensure the reliable operation of mission-critical information processing equipment. It has been shown that thermal zones can provide valuable decision suppo
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Shao, Shuai, Tianyi Gao, Huawei Yang, Jie Zhao, and Jiajun Zhang. "Evaluation of Single Phase Immersion Cooling System for High Performance Server Chassis Using Dielectric Coolants." In ASME 2020 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipack2020-2670.

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Abstract Along with advancements in microelectronics packaging, the power density of processor units has steadily increased over time. Data center servers equipped for high performance computing (HPC) often use multiple central processing units (CPUs) and graphical processing units (GPUs), thereby resulting in an increased power density, exceeding 1 kW per U. Many data center organizations are evaluating single phase immersion technology as a potential energy and resource saving cooling option. In this work immersion cooling was studied at a power level of 2.7kW/U with a 5U-height immersion co
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