scholarly journals Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2626
Author(s):  
Leonel Feitosa ◽  
Glauber Gonçalves ◽  
Tuan Anh Nguyen ◽  
Jae Woo Lee ◽  
Francisco Airton Silva
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Performance Metrics ◽  
Performance Model ◽  
Edge Computing ◽  
Evaluation Methodology ◽  
The Internet ◽  
Queuing Network ◽  
System Components ◽  
The Impact

The Internet of Robotic Things (IoRT) has emerged as a promising computing paradigm integrating the cloud/fog/edge computing continuum in the Internet of Things (IoT) to optimize the operations of intelligent robotic agents in factories. A single robot agent at the edge of the network can comprise hundreds of sensors and actuators; thus, the tasks performed by multiple agents can be computationally expensive, which are often possible by offloading the computing tasks to the distant computing resources in the cloud or fog computing layers. In this context, it is of paramount importance to assimilate the performance impact of different system components and parameters in an IoRT infrastructure to provide IoRT system designers with tools to assess the performance of their manufacturing projects at different stages of development. Therefore, we propose in this article a performance evaluation methodology based on the D/M/c/K/FCFS queuing network pattern and present a queuing-network-based performance model for the performance assessment of compatible IoRT systems associated with the edge, fog, and cloud computing paradigms. To find the factors that expose the highest impact on the system performance in practical scenarios, a sensitivity analysis using the Design of Experiments (DoE) was performed on the proposed performance model. On the outputs obtained by the DoE, comprehensive performance analyses were conducted to assimilate the impact of different routing strategies and the variation in the capacity of the system components. The analysis results indicated that the proposed model enables the evaluation of how different configurations of the components of the IoRT architecture impact the system performance through different performance metrics of interest including the (i) mean response time, (ii) utilization of components, (iii) number of messages, and (iv) drop rate. This study can help improve the operation and management of IoRT infrastructures associated with the cloud/fog/edge computing continuum in practice.

Database Benchmarks

2011 ◽  
pp. 950-954
Author(s):  
Jérôme Darmont
Keyword(s):  
Performance Evaluation ◽  
Decision Support ◽  
System Performance ◽  
Performance Metrics ◽  
Actual Behavior ◽  
Future Trends ◽  
Measurement Tools ◽  
Object Relational ◽  
Model Set ◽  
System Performance Evaluation

Performance measurement tools are very important, both for designers and users of Database Management Systems (DBMSs). Performance evaluation is useful to designers to determine elements of architecture, and, more generally, to validate or refute hypotheses regarding the actual behavior of a DBMS. Thus, performance evaluation is an essential component in the development process of well-designed and efficient systems. Users may also employ performance evaluation, either to compare the efficiency of different technologies before selecting a DBMS, or to tune a system. Performance evaluation by experimentation on a real system is generally referred to as benchmarking. It consists of performing a series of tests on a given DBMS to estimate its performance in a given setting. Typically, a benchmark is constituted of two main elements: a database model (conceptual schema and extension), and a workload model (set of read and write operations) to apply on this database, following a predefined protocol. Most benchmarks also include a set of simple or composite performance metrics such as response time, throughput, number of input/output, disk or memory usage, and so forth. The aim of this article is to present an overview of the major families of state-of-the-art database benchmarks, namely, relational benchmarks, object and object-relational benchmarks, XML benchmarks, and decision-support benchmarks; and to discuss the issues, tradeoffs, and future trends in database benchmarking. We particularly focus on XML and decision-support benchmarks, which are currently the most innovative tools that are developed in this area.

Research performance evaluation: the experience of an independent medical research institute

2012 ◽  
Vol 36 (2) ◽  
pp. 218 ◽  
Author(s):  
Catherine C. Schapper ◽  
Terence Dwyer ◽  
Geoffrey W. Tregear ◽  
MaryAnne Aitken ◽  
Moira A. Clay
Keyword(s):  
Public Health ◽  
Performance Evaluation ◽  
Research Funding ◽  
Research Evaluation ◽  
Research Performance ◽  
Evaluation Methodology ◽  
Strategic Goals ◽  
The Impact ◽  
Research Performance Evaluation ◽  
Research Institute

Background. Evaluation of the social and economic outcomes of health research funding is an area of intense interest and debate. Typically, approaches have sought to assess the impact of research funding by medical charities or regional government bodies. Independent research institutes have a similar need for accountability in investment decisions but have different objectives and funding, thus the existing approaches are not appropriate. Methods. An evaluation methodology using eight indicators was developed to assess research performance across three broad categories: knowledge creation; inputs to research; and commercial, clinical and public health outcomes. The evaluation approach was designed to provide a balanced assessment across laboratory, clinical and public health research. Results and discussion. With a diverse research agenda supported by a large number of researchers, the Research Performance Evaluation process at the Murdoch Childrens Research Institute has, by necessity, been iterative and responsive to the needs of the Institute and its staff. Since its inception 5 years ago, data collection systems have been refined, the methodology has been adjusted to capture appropriate data, staff awareness and participation has increased, and issues regarding the methodology and scoring have been resolved. Conclusions. The Research Performance Evaluation methodology described here provides a fair and transparent means of disbursing internal funding. It is also a powerful tool for evaluating the Institute’s progress towards achieving its strategic goals, and is therefore a key driver for research excellence. What is known about the topic? Increasingly, research funders are seeking to evaluate the impact and outcomes of research spending in order to inform policy decisions and guide research funding expenditure. However, in most instances, research evaluation activities are not undertaken by the organisation conducting the actual research and may not meet their practical needs. What does this paper add? The paper outlines a research performance evaluation methodology specifically tailored to the needs of the medical research institute conducting the research being evaluated, as a way of evaluating research performance to drive strategic goals and disburse internal funds. What are the implications for practitioners? This paper provides a clear approach to internal research evaluation using a process that meets the needs of the organisation actually conducting the research, and provides institutional data for strategic planning activities.

scholarly journals Performance evaluation of proposed load balancing algorithm with unstable concurrent programs

2019 ◽  
Vol 14 (3) ◽  
pp. 1452
Author(s):  
Chanintorn Jittawiriyanukoon
Keyword(s):  
Performance Evaluation ◽  
Load Balancing ◽  
Queue Length ◽  
Performance Metrics ◽  
The Internet ◽  
Concurrent Programs ◽  
Computing Environment ◽  
Mean Queue Length ◽  
Load Balancing Algorithm ◽  
Task Partition

<span>IoT is the succeeding cohort of the digital computing environment. A swift progression in the IoT deployment and its applications are on the rise. Improving load balancing mechanisms induces healthier performance of the internet based computing as higher number of users can be comfortable. Implementing full services for tasks with unstable concurrency is an uphill process. One of the encounters allied with this administration is the task partition among the applications, regularly referred as concurrent programs. Through load balancing not only resources are equally utilized but also concurrent job’s response time can be promoted. Therefore, in this paper the widely used load balancing algorithms are investigated and yet the proposed algorithm is introduced. Simulation is employed in order to compare the performance metrics such as mean queue length, utilization and throughput between the recommended and existing algorithms. The proposed algorithm confirms the load balancing and outperforms when processing unstable concurrent programs.</span>

An Anti-Spam System Based on Service Grid

2010 ◽  
Vol 108-111 ◽  
pp. 1421-1426
Author(s):  
Liang Ye ◽  
Wei Ming Zhong ◽  
Peng Liu
Keyword(s):  
Performance Evaluation ◽  
System Architecture ◽  
System Performance ◽  
Load Distribution ◽  
The Internet ◽  
Service Grid ◽  
Status Monitoring ◽  
The Core ◽  
The Status ◽  
System Performance Evaluation

The flood of spam has caused more serious harm in society. In this paper, we bring forward an anti-spam system based on the service grid, which can dynamically organize the mail servers on the Internet together to against the spam. We discuss the working model and system architecture of the anti-spam grid and design the core algorithm for the status monitoring and load distribution of a dispatch server. And In this paper, we implement the system performance evaluation, and the experiment results show that the system is stable, efficient and scalable.

Enabling Right-Provisioned Microprocessor Architectures for the Internet of Things

2015 ◽  
Author(s):  
Tosiron Adegbija ◽  
Anita Rogacs ◽  
Chandrakant Patel ◽  
Ann Gordon-Ross
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Data Transmission ◽  
Edge Computing ◽  
The Internet ◽  
Clock Frequency ◽  
Power Devices ◽  
Wide Range ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) consists of embedded low-power devices that collect and transmit data to centralized head nodes that process and analyze the data, and drive actions. The proliferation of these connected low-power devices will result in a data explosion that will significantly increase data transmission costs with respect to energy consumed and latency. Edge computing performs computations at the edge nodes prior to data transmission to interpret and/or utilize the data, thus reducing transmission costs. In this work, we seek to understand the interactions between IoT applications’ execution characteristics (e.g., compute/memory intensity, cache miss rates, etc.) and the edge nodes’ microarchitectural characteristics (e.g., clock frequency, memory capacity, etc.) for efficient and effective edge computing. Thus, we present a broad and tractable IoT application classification methodology and using this classification, we analyze the microarchitectural characteristics of a wide range of state-of-the-art embedded system microprocessors and evaluate the microprocessors’ applicability to IoT computation using various evaluation metrics. We also investigate and quantify the impact of leakage power reduction on the overall energy consumption across different architectures. Our work provides insights into the microarchitectural characteristics’ impact on system performance and efficiency for various IoT application requirements. Our work also provides a foundation for the analysis and design of a diverse set of microprocessor architectures for IoT edge computing.

Performance Evaluation of UDP, DCCP and TCP in Congested Wired Networks

2019 ◽  
Vol 10 (3) ◽  
pp. 24-32
Author(s):  
Hossam Mzrieb
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Performance Metrics ◽  
Poor Performance ◽  
Transport Layer ◽  
The Internet ◽  
Transport Protocol ◽  
Wired Networks ◽  
Queuing Models ◽  
End To End Delay

Communication through the internet is one of the dominant methods of exchanging information. TCP and UDP are the transport layer protocols responsible for transit of nearly all Internet communications. Due to the growth of real-time audio and video applications, UDP is being used more frequently as a transport protocol, but unlike TCP, UDP has no mechanism for congestion control leading to wasted bandwidth and poor performance, so the DCCP protocol has appeared as a replacement for UDP. In this article, the author performs some simulations using NS2 for Drop Tail and RED queuing models to evaluate the performance of TCP, UDP, DCCP CCID2, and DCCP CCID3 protocols in congested wired networks. The performance metrics used are throughput, end to end delay, number of sent and lost packets. The obtained results show that the DCCP CCID2 performs the best throughput with the minimum of delay as compared to UDP, TCP, and DCCP CCID3.

The Impact of a Highly Publicized Celebrity Suicide on Suicide-Related Online Information Seeking

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr
Keyword(s):  
Suicide Prevention ◽  
Information Seeking ◽  
The Internet ◽  
Online Information ◽  
Search Queries ◽  
Related Information ◽  
Search Terms ◽  
Celebrity Suicide ◽  
Online Information Seeking ◽  
The Impact

Abstract. Background: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. Aims: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking. Method: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries. Results: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. Limitations: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms). Conclusion: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.

Comprehensive Income: which potential effects on firms' performance evaluation and users' decision process?

2016 ◽  
pp. 55-94
Author(s):  
Pier Luigi Marchini ◽  
Carlotta D'Este
Keyword(s):  
Performance Evaluation ◽  
Decision Process ◽  
Financial Analysts ◽  
Listed Companies ◽  
Financial Statement ◽  
Comprehensive Income ◽  
Other Comprehensive Income ◽  
Gains And Losses ◽  
The Impact

The reporting of comprehensive income is becoming increasingly important. After the introduction of Other Comprehensive Income (OCI) reporting, as required by the 2007 IAS 1-revised, the IASB is currently seeking inputs from investors on the usefulness of unrealized gains and losses and on the role of comprehensive income. This circumstance is of particular relevance in code law countries, as local pre-IFRS accounting models influence financial statement preparers and users. This study aims at investigating the role played by unrealized gains and losses reporting on users' decision process, by examining the impact of OCI on the Italian listed companies RoE ratio and by surveying a sample of financial analysts, also content analysing their formal reports. The results show that the reporting of comprehensive income does not affect the financial statement users' decision process, although it statistically affects Italian listed entities' performance.

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