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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wang, Chenyang Chen, Yan Sun, Chuan Jia, Bosen Wang, Xiaofei Taleb, Tarik Leung, Victor C. M. Shenzhen University College of Computer Science & Software Engineering Shenzhen China Shenzhen518132 China Ruhr University Bochum Faculty of Electrical Engineering and Information Technology Bochum Germany Nanyang Technological University College of Computing and Data Science Singapore China Unicom Digital Technology Co. Ltd Beijing China Tianjin University College of Intelligence and Computing Tianjin China University of British Columbia Vancouver Canada

ISBN: (纸本)9798350351255

Mobile Edge Caching (MEC) can potentially alleviate Internet transmission congestion by delivering content at the network edge. However, current MEC solutions suffer from low resource utilization efficiency and often fail to meet user Quality of Experience (QoE), primarily due to dynamic user requests and obsessive pursuit of direct caching hits. Given the prevalence of recommendation systems, users often lack precise requests when using recommendation-based applications like TikTok and Taobao, insted passively enjoying recommended content. In this paper, we introduce a recommendation-enabled MEC architecture to enhance resource utilization and QoE. We develop a recommendation-enabled soft caching model and formulate the optimization problem as maximizing joint system revenue. To address this, we propose an attention-assisted federated learning deep Q-network algorithm. We conduct the simulations by using the real-world MIND dataset. The results demonstrate that our proposed algorithm outperforms existing baselines, demonstrating its effectiveness in improving resource utilization and QoE. © 2024 IEEE.

关键词： Mobile edge computing

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A Proposed Approach for Risk Planning and Management 25

A Proposed Approach for Risk Planning and Management

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25th International Arab Conference on information technology, ACIT 2024

作者： Al Refai, Mohammed N. Al-Smadi, Yazan Al-Momani, Adai Jamhawi, Zeyad M. Otoom, Ahmed Ali Atoum, Issa Yaseen, Ahid Ababneh, Jafar Kanan, Mohammad Zarqa University Software Engineering Dep. Zarqa Jordan Zarqa University Department of Computer Science Zarqa Jordan Applied Science Private University Department of Computer Science Amman Jordan Applied Science Private University Department of Cyber Security Amman Jordan Philadelphia University Faculty of Information Technology Software Engineering Department Jordan Zarqa University Department of Cyber Security Zarqa Jordan University of Business and Technelogy Dep. of Industry Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan. © 2024 IEEE.

关键词： Project management

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Robust Length of Stay Prediction Model for Indoor Patients

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Computers, Materials & Continua 2022年第3期70卷 5519-5536页

作者： Ayesha Siddiqa Syed Abbas Zilqurnain Naqvi Muhammad Ahsan Allah Ditta Hani Alquhayz M.A.Khan Muhammad Adnan Khan Department of Mechatronics and Control Engineering University of Engineering and TechnologyLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea

Due to unforeseen climate change,complicated chronic diseases,and mutation of viruses’hospital administration’s top challenge is to know about the Length of stay(LOS)of different diseased patients in the *** management does not exactly know when the existing patient leaves the hospital;this information could be crucial for hospital *** could allow them to take more patients for *** a result,hospitals face many problems managing available resources and new patients in getting entries for their prompt ***,a robust model needs to be designed to help hospital administration predict patients’LOS to resolve these *** this purpose,a very large-sized data(more than 2.3 million patients’data)related to New-York Hospitals patients and containing information about a wide range of diseases including Bone-Marrow,Tuberculosis,Intestinal Transplant,Mental illness,Leukaemia,Spinal cord injury,Trauma,Rehabilitation,Kidney and Alcoholic Patients,HIV Patients,Malignant Breast disorder,Asthma,Respiratory distress syndrome,*** been analyzed to predict the *** selected six Machine learning(ML)models named:Multiple linear regression(MLR),Lasso regression(LR),Ridge regression(RR),Decision tree regression(DTR),Extreme gradient boosting regression(XGBR),and Random Forest regression(RFR).The selected models’predictive performance was checked using R square andMean square error(MSE)as the performance evaluation *** results revealed the superior predictive performance of the RFRmodel,both in terms of RS score(92%)and MSE score(5),among all selected *** Exploratory data analysis(EDA),we conclude that maximumstay was between 0 to 5 days with the meantime of each patient 5.3 days and more than 50 years old patients spent more days in the *** on the average LOS,results revealed that the patients with diagnoses related to birth complications spent more days in the hospital than other *** finding coul

关键词： Length of stay machine learning robust model random forest regression

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Measures of Organizational Process Performance in the Capability Maturity Model Integration

Measures of Organizational Process Performance in the Capabi...

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information technology (ACIT)

作者： Abdel-Rahman Al-Ghuwairi Dimah Al-Fraihat Yousef Sharrab Ahmed Kittaneh Ahmed Ali Ayoub Alsarhan Muhsen Alkhalidy Dept. of Software Engineering Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Jordan Dept. of Software Engineering Faculty of Information Technology Isra University Jordan Dept. of Artificial Intelligence and Data Science Faculty of Information Technology Isra University Jordan Dept. of Cyber Security Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Jordan Dept. of Information Technology Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology The Hashemite University Jordan

The Capability Maturity Model Integration (CMMI) is widely utilized by organizations to facilitate process improvement. Among its 22 process areas, this paper focuses on the Organizational Process Performance (OPP) area, which assesses the effectiveness of a process. Specifically, this study examines one goal (establishing performance baselines and models) and two practices (establishing quality and process performance objectives and selecting processes within OPP. To measure these practices, the Goal Questions Metrics (GQM) approach is employed. Data was collected using a questionnaire, and the defined measures are validated quantitatively. 250 responses were used for analysis. The results obtained indicate that implementing the defined measures in companies would be beneficial for achieving high-quality processes in OPP and advancing the maturity level of CMMI.

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Optimizing Cloud Load Balancing with a Hybrid Bio-Inspired Approach: Enhancing Performance and Scalability

Optimizing Cloud Load Balancing with a Hybrid Bio-Inspired A...

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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Salam Al-E'mari Yousef Sanjalawe Budoor Allehyani Information Security Department Faculty of Information Technology University of Petra (UoP) Amman Jordan Information Technology Department King Abdullah II School for Information Technology The University of Jordan (UJ) Amman Jordan Software Engineering Department College of Computing Umm Al-Qura University (UQU) Makkah Saudi Arabia

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Managing resources efficiently is critical in modern cloud computing environments due to the growing complexity and increasing demand for cloud services. Load balancing, a key aspect of cloud resource management, ensures optimal distribution of workloads across servers to improve system performance, minimize response times, and increase resource utilization. However, many existing load-balancing algorithms suffer from challenges such as premature convergence, high computational complexity, and inefficiency in handling dynamic and heterogeneous workloads. To address these challenges, this research proposes a Hybrid Bio-Inspired Approach that combines the Salp Swarm Algorithm (SSA) and Elephant Herding Optimization (EHO). The motivation behind this research is to develop a scalable and adaptable load-balancing mechanism capable of improving performance and handling fluctuating workloads effectively. The main objective of this research is to enhance cloud load balancing by leveraging the unique strengths of SSA and EHO, aiming for better exploration and exploitation balance, improved resource utilization, and minimized response times. The proposed hybrid approach integrates SSA's efficient search capabilities with EHO's natural clustering and resource optimization features, creating a robust framework for load balancing in cloud systems. The methodology is implemented using the CloudSim simulator, a widely used platform for modeling and simulating cloud environments. The performance of the proposed hybrid algorithm is evaluated against traditional and other bio-inspired techniques. Results from the simulations demonstrate that the hybrid SSA-EHO approach outperforms existing algorithms in terms of load distribution, response time, scalability, and resource utilization, highlighting its potential as an efficient solution for cloud resource management.

关键词： Cloud computing Energy consumption Heuristic algorithms Scalability Clustering algorithms Load management Resource management Time factors Optimization Load modeling

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Historical trust-based method for internet of things

Historical trust-based method for internet of things

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2021 International Conference on Advanced Computer Applications, ACA 2021

作者： Jasim, Zainab Abdullah Alsoufi, Muaadh A. University of Babylon Software Department Information Technology Babylon Iraq Faculty of Engineering School of Computing Johor Malaysia

ISBN: (纸本)9781665435031

The Internet of Things (IoT) defines the universal and embedded actuators and sensors network with limited and heterogeneous capabilities of computation. The trustworthiness of IoT-enabled services raises concerns, since services may be misguided by invalid users via fake or changed sensor data. Nevertheless, an efficient scheme of trust management for IoT applications is primarily challenging due to data inconsistency issues. Existing works perform node reputation calculation by considering the node historical issue, and only node performance in the current range. This shows that node history is highly important to its reputation. In this work, we propose a historical trust-based method for IoTs. The results achieved demonstrate that the proposed method was able to correctly detect invading nodes. Additionally, the actual amount of trust the organization has gained over time was determined in a shorter time (0.83 s), and with consuming a relatively lower amount of energy. © 2021 IEEE.

关键词： Internet of things

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Assessing Growth and Instability of Open Source software Systems 1

Assessing Growth and Instability of Open Source Software Sys...

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1st IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer engineering, MI-STA 2021

作者： Mresa, Ali H. Baryun, Abdussalam Nuri Engineering Faculty Tajoura Software Engineering Dept. Libya University of Tripoli Faculty of Information Technology Mobile Computing Dept. Tripoli Libya

ISBN: (纸本)9781665418560

software systems progressively evolve over time where source code needs to be modified, newly are added and others need to be deleted. Therefore, it is worth to monitor progress and software development, to measure growth and assess system stability. This paper assesses OSS software growth and instability to clarify impacts of its instability on its system growth. Three open source software applications, with different characteristics, have been selected. Size and instability metrics are extracted and statistically analyzed in order to assess the reflections of software growth under instability *** correlation among size metrics are highly correlated - the highest and lowest correlation are 0.99 and 0.72 respectively. Moreover, the result shows the highest correlation is between total classes and total lines of code. The instability measures on software systems exhibits certain pattern characterized by more addition and modification than deletion at system design level and the implementation changes exhibits more addition than modification and deletion. although the characteristics of the open source applications are different than the closed-source, the Lehman's observations are still valid with regard to continuous growth and trends. © 2021 IEEE.

关键词： Open source software

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Digital Platform to Empower the Self-Employment in Sri Lanka 6

Digital Platform to Empower the Self-Employment in Sri Lanka

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6th International Conference on information technology Research, ICITR 2021

作者： Wickramasinghe, H.C.P. Thebuwana, T.D. Wijesinghe, G.K.H.S. Dissanayake, U.N. Kodagoda, Nuwan Suriyawansa, Kushnara Faculty of Computing Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Sri Lanka

ISBN: (纸本)9781665420006

Unemployment is a huge problem around the world because a lack of job opportunities. People are unable to find the job opportunities according to their preferences and qualifications. As a solution for this, many countries are attempting to empower self-employment. Most of current world problems have been solved using modern technologies. Therefore, the development of self-employment also can be achieved through modern technology. The objective of our proposed platform, HIRELANCER, is empowering self-employment using modern technologies. HIRELANCER is bringing the consumers, service providers, and suppliers into the same platform. HIRELANCER will consist of innovative features that go beyond comparatively to other platforms such as an advanced mechanism to find best suitable service providers/suppliers for the service, handling the virtual front-desk, cost estimation for the services prior to contacting a service provider, and advanced facility to find a suitable career path for the people who are seeking career guidance. This research paper discusses how the innovative features of HIRELANCER will be beneficial for consumers, service providers, and suppliers and ultimately achieve our main objective, which is empowering self-employment in Sri Lanka. © 2021 IEEE.

关键词： Employment

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DasAtom: A Divide-and-Shuttle Atom Approach to Quantum Circuit Transformation

arXiv

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arXiv 2024年

作者： Huang, Yunqi Gao, Dingchao Ying, Shenggang Li, Sanjiang Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia Key Laboratory of System Software Chinese Academy of Sciences State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China

Neutral atom (NA) quantum systems are emerging as a leading platform for quantum computation, offering superior or competitive qubit count and gate fidelity compared to superconducting circuits and ion traps. However, the unique features of NA devices, such as long-range interactions, long qubit coherence time, and the ability to physically move qubits, present distinct challenges for quantum circuit compilation. In this paper, we introduce DasAtom, a novel divide-and-shuttle atom approach designed to optimise quantum circuit transformation for NA devices by leveraging these capabilities. DasAtom partitions circuits into subcircuits, each associated with a qubit mapping that allows all gates within the subcircuit to be directly executed. The algorithm then shuttles atoms to transition seamlessly from one mapping to the next, enhancing both execution efficiency and overall fidelity. For a 30-qubit Quantum Fourier Transform (QFT), DasAtom achieves a 415.8x improvement in fidelity over the move-based algorithm Enola and a 10.6x improvement over the SWAP-based algorithm Tetris. Notably, this improvement is expected to increase exponentially with the number of qubits, positioning DasAtom as a highly promising solution for scaling quantum computation on NA platforms. © 2024, CC BY.

关键词： Qubits

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Building the metaverse using digital twins at all scales,states,and relations

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Virtual Reality & Intelligent Hardware 2022年第6期4卷 459-470页

作者： Zhihan LV Shuxuan XIE Yuxi LI M.Shamim HOSSAIN Abdulmotaleb El SADDIK Department of Game Design Faculty of ArtsUppsala UniversitySweden College of Computer Science and Technology Qingdao UniversityQingdaoChina Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia School of Electrical Engineering and Computer Science(EECS) University of OttawaOttawaOntarioCanada

Developments in new-generation information technology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the *** objects can be at the micro-,meso-,or *** Metaverse is a complex collection of solid,liquid,gaseous,plasma,and other uncertain ***,the Metaverse integrates tangibles with social relations,such as interpersonal(friends,partners,and family)and social relations(ethics,morality,and law).This review introduces some principles and laws,such as broken windows theory,small-world phenomenon,survivor bias,and herd behavior,for constructing a Digital Twins model for social ***,from multiple perspectives,this article reviews mappings of tangible and intangible real-world objects to the Metaverse using the Digital Twins model.

关键词： Digital twins Metaverse Sensor

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