Article
Computer Science, Hardware & Architecture
Shu-Li Zhao, Rong-Xia Hao, Sheng-Lung Peng
Summary: The paper discusses the generalized k-connectivity of a graph, introduces a family of regular graphs Gn, and analyzes the generalized 3-connectivity of the regular graph G(n), obtaining a previously proven upper bound. It also discusses the generalized 3-connectivity of some important networks such as the alternating group network AN(n), the star graph S-n, and the pancake graphs P-n, providing direct results.
Article
Mathematics, Applied
Meijie Ma, Xiang-Jun Li, Guijuan Wang, Yongli Zan
Summary: Fault-tolerance is an important indicator for measuring the stability of the interconnection network. This study fills the gap in the g-extra connectivity of the enhanced hypercube for specific cases, and derives specific results.
DISCRETE APPLIED MATHEMATICS
(2024)
Article
Mathematics, Applied
Shu-Li Zhao, Jou -Ming Chang, Heng-Zhe Li
Summary: The generalized connectivity is a parameter that measures the capability of connecting vertices in graph G and is a generalization of traditional connectivity. The pancake graph has desirable properties for designing interconnection networks. This paper determines that the generalized 4-connectivity of the pancake graph Pn is n-2, meaning there are (n-2) internally disjoint S-trees connecting any four arbitrary vertices x, y, z, and w, where S = {x, y, z, w}. As a corollary, the generalized 3-connectivity of the pancake graph Pn can be obtained directly.
DISCRETE APPLIED MATHEMATICS
(2023)
Article
Mathematics, Applied
Dongqin Cheng
Summary: This paper investigates the restricted connectivity of n-dimensional balanced hypercubes and proves the minimum cardinality of the vertex set under certain conditions.
DISCRETE APPLIED MATHEMATICS
(2021)
Article
Multidisciplinary Sciences
Lantao You, Yuejuan Han, Jianfeng Jiang
Summary: The hypercube Q(n) is a highly symmetrical interconnection network. Variants of Q(n), such as the n-dimensional locally twisted cube LTQ(n), have been proposed to reduce its diameter. To further optimize the diameter, the n-dimensional folded locally twisted cube FLTQ(n) is introduced. Connectivity and super-connectivity are important indicators for fault tolerance and reliability of a network. In this paper, it is shown that the super-connectivity of FLTQ(n) is twice the connectivity.
Article
Mathematics
Yali Lv, Cheng-Kuan Lin, Lantao You
Summary: BCube is a main data center network that possesses attractive features. In practical applications, component failures and physical connection failures are inevitable, especially for switch failures in data center networks. Fault-tolerance capability is a primary aspect to measure the network performance. Connectivity, fault tolerance Hamiltonian connectivity, and fault tolerance Hamiltonicity are important parameters for assessing network fault tolerance. The distribution of fault elements is typically scattered, and it is necessary to consider fault element distribution in different dimensions. This study investigates the fault tolerance of BCube when considering faulty switches and faulty links/edges that distribute in different dimensions. We also examine connectivity, fault tolerance Hamiltonian connectivity, and Hamiltonicity. This research provides a better evaluation of the fault-tolerant performance of data center networks.
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
Mathematics, Applied
Shu-Li Zhao, Rong-Xia Hao, Jie Wu
Summary: This paper focuses on the generalized 4-connectivity of the hierarchical cubic network HCNn and shows that kappa(4)(HCNn) = n for n >= 3. As a corollary, it is also obtained that kappa(3)(HCNn) = n for n >= 3.
DISCRETE APPLIED MATHEMATICS
(2021)
Article
Computer Science, Theory & Methods
Yuxing Yang
Summary: In this paper, the properties of t-embedded vertex connectivity and t-embedded edge connectivity in recursive networks are proved, providing conclusions for calculations under different t values.
THEORETICAL COMPUTER SCIENCE
(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
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, 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
Mathematics, Applied
Dongqin Cheng
Summary: This paper investigates a variant of the locally twisted cube called n-dimensional locally twisted cube and proves that its generalized 4-connectivity is n-1. This result is significant for evaluating the fault-tolerance of networks.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
(2023)
Article
Computer Science, Information Systems
Bo-Ok Seong, Hyeong-Ok Lee, Jong-Seok Kim, Jung-Hyun Seo
Summary: This study introduces a new interconnection network called NSEP, which improves the diameter and reduces network cost by adding one edge, demonstrating higher fault tolerance and a Hamiltonian cycle.
Article
Computer Science, Hardware & Architecture
Chang Shu, Yan Wang, Jianxi Fan, Guijuan Wang
Summary: The fault-tolerant performance of a network, characterized by connectivity, is essential for its normal operation. Super H-connectivity and super H-*-connectivity provide a new metric, super structure fault-tolerance, to measure the network's fault-tolerance.
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)