Article
Computer Science, Hardware & Architecture
Tengteng Liang, Mingzu Zhang, Xing Yang
Summary: The h-extra edge-connectivity is an important parameter for the reliability and fault tolerance analysis of easily scalable interconnection networks. This paper explores the h-extra edge-connectivity of the n-dimensional pentanary cube and finds a concentration behavior on specific values.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Theory & Methods
Hongbin Zhuang, Xiao-Yan Li, Jou-Ming Chang, Dajin Wang
Summary: This paper proposes an efficient fault-tolerant Hamiltonian path embedding algorithm for enhancing the fault-tolerant capacity of k-ary n-cubes. A new conditional fault model named Partitioned Edge Fault model (PEF model) is introduced. Experimental and comparative results show that the algorithm significantly improves the edge fault tolerance compared to known results.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Xiao-Yan Li, Kun Zhao, Hongbin Zhuang, Xiaohua Jia
Summary: This paper focuses on the fault tolerance of networks in the presence of Hamiltonian paths and cycles and explores the existence of such paths and cycles in balanced hypercubes with exponentially faulty edges. The author proposes three measures and shows that the BHn is fault-tolerant for n >= 2. The comparison results demonstrate that the partitioned fault model provides exponential fault tolerance as the dimension n grows.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Limei Lin, Yanze Huang, Yuhang Lin, Li Xu, Sun-Yuan Hsieh
Summary: The article discusses the issue of the largest connected component in the surviving structure after deleting processors and proves the specific situations depending on the number of processors.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Computer Science, Hardware & Architecture
Yuxing Yang, Xiaohui Li, Jing Li
Summary: This paper investigates the definitions of H-structure connectivity and H-substructure connectivity of a given graph G, and analyzes these connectivities for n-dimensional balanced hypercube BHn under specific restrictions.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Computer Science, Theory & Methods
Yuxing Yang, Lingling Zhang
Summary: The paper investigates the conditions for the existence of a Hamiltonian path in faulty k-ary n-cube networks. It is proven that a Hamiltonian path exists through a linear forest in the network when the paths in the linear forest do not have the target nodes as internal or end nodes.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Limei Lin, Yanze Huang, Yuhang Lin, Sun-Yuan Hsieh, Li Xu
Summary: In this paper, a novel indicator called m-FFNLFD is proposed to describe the diagnosability of a multiprocessor system at a local node, and its properties and applications are studied under different network models.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Mathematics, Applied
Aixia Liu, Jun Yuan, Shiying Wang, Jing Li
Summary: This paper investigates the connectivity and diagnosability of n-dimensional hierarchical star network HSn based on the concept of forbidden faulty sets. The results show specific numerical values for the connectivity and diagnosability under certain conditions in the network.
DISCRETE APPLIED MATHEMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Hongbin Zhuang, Xiao-Yan Li, Jou-Ming Chang, Cheng-Kuan Lin, Ximeng Liu
Summary: This article proposes the concept of the partitioned fault model and explores the fault tolerability of interconnection networks using novel indicators. The research results demonstrate the optimality of these indicators in terms of the number of edge faults tolerated.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Article
Mathematics
Min Hu, Haidar Ali, Muhammad Ahsan Binyamin, Bilal Ali, Jia-Bao Liu, Chengmei Fan
Summary: This paper studies the Mostar index, Szeged index, PI index, ABC(GG) index, and NGG index for chain oxide network COXn, chain silicate network CSn, ortho chain S-n, and para chain Q(n) for the first time, and analytically closed formulae for these structures are determined.
JOURNAL OF MATHEMATICS
(2021)
Article
Computer Science, Theory & Methods
Yayu Yang, Mingzu Zhang, Jixiang Meng
Summary: The L-ary n-dimensional hamming graph is an interconnection network that is highly attractive for parallel processing and computing systems. This research analyzes the link fault tolerance of the topology structure of these networks, providing a theoretical basis for their design and optimization.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Chai Shu, Xiang-Jun Li, Meijie Ma
Summary: Reliability analysis is crucial for the design of large multiprocessor systems, particularly in evaluating the connectivity of interconnection networks. The h-extra connectivity, represented as kh(G), refers to the minimal number of vertices needed to disconnect the network G while each remaining component still contains more than h vertices. This paper determines the h-extra connectivity of the star graph Sn for n >= 4 and 2 <= h <= 5.
THEORETICAL COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Litao Guo
Summary: The reliability evaluation of interconnection networks is crucial for the design and maintenance of multiprocessor systems. This paper focuses on the t-component connectivity of the bubble-sort network B-n for small t, aiming to determine the minimum vertex or edge number required to disconnect the network into at least t components.
JOURNAL OF INTERNET TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Xinyang Wang, Haozhe Li, Qiao Sun, Chen Guo, Hu Zhao, Xinyu Wu, Anqi Wang
Summary: Diagnosability plays a crucial role in evaluating the reliability and fault tolerance of symmetrical multiprocessor systems. The g-good-neighbor conditional diagnosability is suitable for large-scale multiprocessor systems and has received much attention. This paper investigates the relationships between the g-good-neighbor connectivity and diagnosability of graphs under the MM* model, specifically focusing on the exchanged crossed cube (ECO) network structure. The research derives the exact value of the g-good-neighbor diagnosability of ECO under the MM* model and provides a supplement to its diagnosability.
Article
Computer Science, Theory & Methods
Wantao Ning, Hao Li
Summary: This work investigates the h-edge connectivity of the exchanged crossed cube ECQ (s, t) and determines the minimum number of edges that need to be removed to disconnect the graph with no vertices of degree less than h.
THEORETICAL COMPUTER SCIENCE
(2021)
Article
Computer Science, Software Engineering
Litao Guo, Xiaofeng Guo
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2019)
Article
Physiology
Litao Guo, Qi Su, Jin Yin, Zezhong Yang, Wen Xie, Shaoli Wang, Qingjun Wu, Hongying Cui, Youjun Zhang
FRONTIERS IN PHYSIOLOGY
(2019)
Article
Mathematics
Hui Shang, Eminjan Sabir, Jixiang Meng, Litao Guo
BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY
(2020)
Article
Computer Science, Hardware & Architecture
Liqiong Xu, Litao Guo
Summary: This paper examines the component connectivity evaluation in interconnection networks, extending the discussion on k-component connectivity for non-complete connected graphs.
Article
Computer Science, Theory & Methods
Litao Guo, Mingzu Zhang, Shaohui Zhai, Liqiong Xu
Summary: This paper explores the relationship between extra edge connectivity and component edge connectivity in regular networks, and determines the component edge connectivity of BC networks, k-ary n-cubes, and enhanced hypercubes as applications.
INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE
(2021)
Article
Mathematics
Ruifang Liu, Hong-Jian Lai, Litao Guo, Jie Xue
Summary: This passage discusses the definition of fractional matching and the fractional matching number of a graph, and analyzes the relationship between graph characteristics, spectral radius, and fractional matching.
LINEAR & MULTILINEAR ALGEBRA
(2022)
Article
Medicine, General & Internal
Aixia Sui, Huiling Song, Yitong Li, Litao Guo, Kai Wang, Mingming Yuan, Rongrong Chen
Summary: This case presents a patient with ALK-rearranged lung adenocarcinoma who developed acquired resistance to ALK inhibition, with the BRAF V600E mutation identified as a novel resistance mechanism.
Article
Computer Science, Theory & Methods
Litao Guo, Jun Ge
Summary: Connectivity is a critical parameter for measuring the reliability of networks, and the Cartesian product of graphs is a useful method for constructing large networks. The Cauchy-Schwarz inequality can be used to determine the component connectivity of Cartesian product of some graphs.
JOURNAL OF INTERCONNECTION NETWORKS
(2021)
Article
Mathematics, Applied
Litao Guo, Gulnaz Boruzanli Ekinci
Summary: In this paper, a new type of network called folded twisted crossed cube FTCQ(n) is introduced, obtained from twisted crossed cube TCQ(n) by adding extra edges. The connectivity and edge connectivity of FTCQ(n) are shown to be n + 1 for n >= 4. Additionally, the super-connectivity and super-edge-connectivity of FTCQn are determined to be 2n for n >= 4.
DISCRETE APPLIED MATHEMATICS
(2021)
Article
Computer Science, Theory & Methods
Wantao Ning, Litao Guo
Summary: This article introduces a new interconnection network called the exchanged 3-ary n-cube E3C, which is obtained from the 3-ary n-cube Q(n)(3) network. E3C has better performances compared to Q(n)(3). The study also analyzes the connectivity and super connectivity of E3C.
THEORETICAL COMPUTER SCIENCE
(2022)
Article
Oncology
Yitong Li, Narasimha M. Beeraka, Wenchang Guo, Yuying Lei, Qilu Hu, Litao Guo, Ruitai Fan, Junqi Liu, Aixia Sui
Summary: This study aims to identify prognostic factors and survival rates in patients with high-grade brainstem gliomas. The analysis of SEER database data showed that younger age and surgical resection were associated with a better prognosis. Radiotherapy and chemotherapy were also found to improve overall survival.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2022)
Article
Computer Science, Information Systems
Litao Guo
Summary: The reliability evaluation of interconnection networks is crucial for the design and maintenance of multiprocessor systems. This paper focuses on the t-component connectivity of the bubble-sort network B-n for small t, aiming to determine the minimum vertex or edge number required to disconnect the network into at least t components.
JOURNAL OF INTERNET TECHNOLOGY
(2021)
Article
Mathematics, Applied
Litao Guo, Guifu Su, Lutz Volkmann, Xingke Zhao
APPLICABLE ANALYSIS AND DISCRETE MATHEMATICS
(2019)
Article
Mathematics, Applied
Litao Guo, Bernard L. S. Lin
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S
(2019)
Article
Computer Science, Theory & Methods
Sheng Wang, Shiping Chen, Fei Meng, Yumei Shi
Summary: This study proposes a Multi-Scenarios Adaptive Hierarchical Spatial Graph Convolution Network (MSHGN) model for accurately predicting GPU utilization rates in heterogeneous GPU clusters. By constructing multiple scenarios' undirected graphs and using Graph Convolution Neural (GCN) to capture spatial dependency relationships, the MSHGN model achieves superior accuracy and robustness in predicting resource utilization on a real-world Alibaba dataset.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Nik Amir Syafiq, Mohamed Othman, Norazak Senu, Fudziah Ismail, Nor Asilah Wati Abdul Hamid
Summary: This research investigates the multi-core architecture for solving the fractional Poisson equation using the modified accelerated overrelaxation (MAOR) scheme. The feasibility of the scheme in a parallel environment was tested through experimental comparisons and measurements. The results showed that the scheme is viable in a parallel environment.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Antonio F. Diaz, Beatriz Prieto, Juan Jose Escobar, Thomas Lampert
Summary: This paper presents the design and implementation of a low-cost energy monitoring system that synchronously collects the energy consumption of multiple devices using a specially designed wattmeter, and utilizes widely used technologies and tools in the Internet of Things for implementation.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Ritam Ganguly, Yingjie Xue, Aaron Jonckheere, Parker Ljung, Benjamin Schornstein, Borzoo Bonakdarpour, Maurice Herlihy
Summary: This paper presents a centralized runtime monitoring technique for distributed systems, which verifies the correctness of distributed computations by exploiting bounded-skew clock synchronization. By introducing a progression-based formula rewriting scheme and utilizing SMT solving techniques, the metric temporal logic can be monitored and the probabilistic guarantee for verification results can be calculated. Experimental results demonstrate the effectiveness of this technique in different application scenarios.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Arya Tanmay Gupta, Sandeep S. Kulkarni
Summary: Lattice-linear systems allow nodes to execute asynchronously. The eventually lattice-linear algorithms introduced in this study guarantee system transitions to optimal states within specified moves, leading to improved performance compared to existing literature. Experimental results further support the benefits of lattice-linearity.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Tim Breitenbach, Shrikanth Malavalli Divakar, Lauritz Rasbach, Patrick Jahnke
Summary: With the trend towards multi-socket server systems, the demand for RAM per server has increased, resulting in more DIMM sockets per server. RAM issues have become a dominant failure pattern for servers due to the probability of failure in each DIMM. This study introduces an ML-driven framework to estimate the probability of memory failure for each RAM module. The framework utilizes structural information between correctable (CE) and uncorrectable errors (UE) and engineering measures to mitigate the impact of UE.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Carlos Ansotegui, Eduard Torres
Summary: This paper presents an incomplete algorithm for efficiently constructing Covering Arrays with Constraints of high strength. The algorithm mitigates memory blow-ups and reduces run-time consumption, providing a practical tool for Combinatorial Testing.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Lucas Perotin, Sandhya Kandaswamy, Hongyang Sun, Padma Raghavan
Summary: Resource scheduling is crucial in High-Performance Computing systems, and previous research has mainly focused on a single type of resource. With advancements in hardware and the rise of data-intensive applications, considering multiple resources simultaneously is necessary to improve overall application performance. This study presents a Multi-Resource Scheduling Algorithm (MRSA) that minimizes the makespan of computational workflows by efficiently allocating resources and optimizing scheduling order. Simulation results demonstrate that MRSA outperforms baseline methods in various scenarios.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Yue Li, Han Liu, Jianbo Gao, Jiashuo Zhang, Zhi Guan, Zhong Chen
Summary: The processing of block lifecycles is crucial to the efficiency of a blockchain. The FASTBLOCK framework, which introduces fine-grained concurrency, accelerates the execution and validation steps. It outperforms state-of-the-art solutions significantly in terms of performance.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Roberto Carrasco, Hector Ferrada, Cristobal A. Navarro, Nancy Hitschfeld
Summary: The experimental evaluation of GPU filters for computing the 2D convex hull shows significant performance improvement. The different point distributions have a noticeable impact on the results, with the greatest improvement seen in the case of uniform and normal distributions.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Keqin Li
Summary: In this paper, the authors study task scheduling with or without energy constraint in mobile edge computing. They propose heuristic algorithms to solve these problems and analyze them using the methods of communication unification, effective speed concept, and virtual task construction. The experimental results show that the performance of the heuristic algorithms is close to the optimal algorithm. This is the first paper in the literature to optimize the makespan of task scheduling with or without energy constraint in mobile edge computing with multiple cloud-assisted edge servers.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Hongliang Li, Hairui Zhao, Ting Sun, Xiang Li, Haixiao Xu, Keqin Li
Summary: This paper studies the problem of job placement in shared GPU clusters and proposes an opportunistic memory sharing model and algorithms to solve the problem. Extensive experiments on a GPU cluster validate the correctness and effectiveness of the proposed approach.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Lucas Ruchel, Edson Tavares de Camargo, Luiz Antonio Rodrigues, Rogerio C. Turchetti, Luciana Arantes, Elias Procopio Duarte Jr.
Summary: LHABcast is a leaderless hierarchical atomic broadcast algorithm that improves scalability by being fully decentralized and hierarchical. It uses local sequence numbers and timestamps to order messages and achieves significantly lower message count compared to an all-to-all strategy, both in fault-free and faulty scenarios.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Xiangyu Wu, Xuehui Du, Qiantao Yang, Na Wang, Wenjuan Wang
Summary: This paper proposes a new method to address the immutability issue of consortium blockchains by introducing a verifiable distributed chameleon hash (VDCH) function and a consensus protocol called CVTSS based on verifiable threshold signatures. The proposed method enhances the flexibility, fault tolerance, and redaction efficiency of consortium blockchains.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)
Article
Computer Science, Theory & Methods
Ipsita Behera, Srichandan Sobhanayak
Summary: Task scheduling in cloud computing is a challenging problem, and researchers propose a hybrid algorithm that aims to minimize makespan, energy consumption, and cost. Evaluation using the Cloudsim toolkit demonstrates the algorithm's effectiveness and efficiency.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2024)