The proceedings contain 57 papers. The topics discussed include: logical topology design with traffic grooming for scheduled demands;the impact of multi-core architectures on task retrieval policies for volunteer comp...
ISBN:
(纸本)9780889867741
The proceedings contain 57 papers. The topics discussed include: logical topology design with traffic grooming for scheduled demands;the impact of multi-core architectures on task retrieval policies for volunteer computing;evaluation of CPU power control and scheduling technique on parallelcomputing environment;clustered assignment of CCQS in information monitoring system supporting conjunctive queries;dense skip graphs as an overlay for P2P networks;multi-connection and multi-core aware all-gather on infiniband clusters;an improved prioritization method for task scheduling in heterogeneous computing systems;thread pipelining with clustered data communication on commodity CMPS;a distributed algorithm for disjoint paths in star networks;parallel algorithms for a visual text mining platform;and a cache miss analysis for multithreaded architectures.
The proceedings contain 161 papers. The topics discussed include: deep learning for phishing detection;a partition matching method for optimal attack path analysis;an energy and robustness adjustable optimization meth...
ISBN:
(纸本)9781728111414
The proceedings contain 161 papers. The topics discussed include: deep learning for phishing detection;a partition matching method for optimal attack path analysis;an energy and robustness adjustable optimization method of file distribution services;deriving the political affinity of twitter users from their followers;on the usability of big (social) data;re-running large-scale parallel programs using two nodes;predicting hacker adoption on darkweb forums using sequential rule mining;an on-the-fly scheduling strategy for distributed stream processing platform;deadlock-free adaptive routing based on the repetitive turn model for 3D network-on-chip;and radix: enabling high-throughput georeferencing for phenotype monitoring over voluminous observational data.
The proceedings contain 36 papers. The topics discussed include: heuristics for distributed systems clustering and mapping under network restrictions;a self-adaptive weighted sum technique for the joint optimization o...
ISBN:
(纸本)9781615675777
The proceedings contain 36 papers. The topics discussed include: heuristics for distributed systems clustering and mapping under network restrictions;a self-adaptive weighted sum technique for the joint optimization of performance and power consumption in data centers;static load balancing for cost minimization in distributedcomputing systems;minimizing inter-iteration dependencies in multi-dimensional loops;a high performance Gibbs sampling algorithm for item response theory;parallel molecular dynamics on the cell architecture;resource discovery for query processing in data grids;scheduling real time tasks on heterogeneous reconfigurable devices;concurrent data processing for fusion simulation through distributed CCA component;and design and implement dynamic irregular parallel computation using the key-value-reference model.
The proceedings contain 52 papers. The topics discussed include: a rapid heuristic for scheduling non-preemptive dependent periodic tasks onto multiprocessor;deadline-based scheduling of divisible real-time loads;a pe...
ISBN:
(纸本)9781604233926
The proceedings contain 52 papers. The topics discussed include: a rapid heuristic for scheduling non-preemptive dependent periodic tasks onto multiprocessor;deadline-based scheduling of divisible real-time loads;a performance-effective task scheduling algorithm for multiprocessor computing systems;grid enabling a content based image retrieval application;multi-tier data access and hierarchical memory optimization;replica traffic manager for data grids;design considerations for resilient distributed data centers;supporting geographic data in the mobile computing environment;real-time data processing based on caching algorithm in ubiquitous information middleware;and evaluation of architectural support for speech codecs application in large-scale parallel machines.
The proceedings contain 18 papers. The topics discussed include: case study on storage characteristics of hadoop;investigating operating system noise in extreme-scale high-performance computing systems using simulatio...
ISBN:
(纸本)9780889869431
The proceedings contain 18 papers. The topics discussed include: case study on storage characteristics of hadoop;investigating operating system noise in extreme-scale high-performance computing systems using simulation;managing large scale experiments in distributed testbeds;a parallel algorithm for nonnegative matrix factorization based on Newton iteration;parallel butterfly sorting algorithm on GPU;halo-free design for retinex based real-time video enhancement system;performance enhancement of map-reduce framework on GPU;mining cloud environments usage data;parallel processing of analytical Poisson-Boltzmann using higher order FEM;deriving a multi-level program model for efficient parallelization on heterogeneous platforms;and regulate my appetite according to dishes: a distributed on-line optimal stopping web service selection scheme.
Swarm Intelligence (SI) algorithms, motivated by the group actions of natural systems, offer robust and efficient solutions to complex optimization problems. This review explores several key SI algorithms, including C...
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ISBN:
(数字)9798331519582
ISBN:
(纸本)9798331519599
Swarm Intelligence (SI) algorithms, motivated by the group actions of natural systems, offer robust and efficient solutions to complex optimization problems. This review explores several key SI algorithms, including Cuckoo Search (CS), Firefly Algorithm (FA), Bat Algorithm (BA), and others. Each algorithm uses ideas from nature, like how ants find food and how bees interact with each other, to effectively solve nonlinear and multimodal problems. Comparative analysis focuses on convergence speed, solution quality, robustness, and computational complexity, highlighting the unique strengths and applicability of each algorithm. SI algorithms can be changed and scaled up or down easily, which makes them useful for dynamic and large-scale optimization tasks. This makes them future-proof solutions that can be used in many areas. Future research directions include new algorithms, hybrid approaches, real-world applications, and integration with machine learning techniques, promising continued advances and broader applicability. The development of SI algorithms is driven by their natural inspiration, simplicity, and potential for innovative applications, underscoring their importance in tackling diverse and complex challenges.
The proceedings contain 74 papers. The topics discussed include: an interconnection networks comparative performance evaluation methodology: delta and over-sized delta networks;implementation strategies for applicatio...
ISBN:
(纸本)9781618398161
The proceedings contain 74 papers. The topics discussed include: an interconnection networks comparative performance evaluation methodology: delta and over-sized delta networks;implementation strategies for application level acknowledgment and retransmission mechanisms;performance study of distributed genetic algorithms for three-dimensional bin-packing;parallel relative debugging with dynamic data structures;a unified resource scheduling approach on cluster computing systems;optimal graph transformation assuming alternate scheduling models;efficient queuing scheme for multicast switches in overlay networks;design and analysis of improved shortest path tree update for network routing;and an intelligent congestion-relieving mechanism for wormhole-routed networks.
Zero-day attacks present a significant security threat to vehicular networks, exploiting vulnerabilities at both software and hardware levels within such systems that remain undiscovered. Mitigating these threats is e...
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ISBN:
(数字)9798331524937
ISBN:
(纸本)9798331524944
Zero-day attacks present a significant security threat to vehicular networks, exploiting vulnerabilities at both software and hardware levels within such systems that remain undiscovered. Mitigating these threats is essential to ensuring the safety and security of vehicular systems. Support Vector Machine (SVM) is a good candidate for anomaly detection of zero-day attacks within vehicular networks because it can handle highdimensional data and effectively distinguish between normal and abnormal patterns in complex and dynamic environments. A trained SVM on the normal operation data of in-vehicular network can identify flag deviations, thus making it effective in the detection of any previously unknown attack patterns, which is a common behaviour of zero-day attacks. In this paper, we introduce an anomaly detection method called “ZeroCAN” which models the behaviour of every single electronic control unit on the network with a separate SVM and a set of high-level features that capture the timing and data payload aspects of CANbus traffic. This approach achieves an anomaly detection rate of over $\mathbf{9 9 \%}$ and a false positive rate below $\mathbf{0. 0 1 \%}$ during normal operation in most cases.
作者：
Mullin, LenoreHains, Gaétan
1400 Washington Ave AlbanyNY12222 United States LACL
Université Paris-Est Créteil94000 France
High-performance architectures have complex features so that reliable production of parallel software is beyond the reach of many Computer Science graduates. Compilers alone cannot guarantee the highest performance an...
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Modern Astrophysics and Cosmology (A&C) projects produce immense data volumes, necessitating advanced software tools for data access, storage, and analysis. Visualization Interface for the Virtual Observatory (Vis...
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ISBN:
(数字)9798331524937
ISBN:
(纸本)9798331524944
Modern Astrophysics and Cosmology (A&C) projects produce immense data volumes, necessitating advanced software tools for data access, storage, and analysis. Visualization Interface for the Virtual Observatory (VisIVO) is one such tool enabling multi-dimensional data analysis and knowledge discovery across complex astrophysical datasets. Leveraging containerization and virtualization, VisIVO has been deployed on various distributedcomputing platforms. Additionally, Blender, an open-source 3D suite, provides robust tools for rendering and processing volumetric data, making it suitable for visualizing complex datasets. At the SPACE Center of Excellence these tools are being adapted for high-performance visualization of cosmological simulations performed with GADGET and ChaNGa on pre-exascale systems. However, implementing high-performance visualization on diverse HPC platforms presents several challenges, including hardware and software compatibility, data management, scalability, performance portability, and efficient resource allocation. This paper outlines strategies to integrate VisIVO with workflow frameworks and streaming platforms to address these challenges. Workflow frameworks enhance portability, scheduling, and reproducibility of visualization workflows on pre-exascale systems used in A&C simulations. We also discuss the use of streaming platforms to enable concurrent (i.e. in-situ) analysis and visualization of simulations, reducing the need to store full simulation data by leveraging distributed databases that stream the output data in real time. Lastly, we present an adaptation of Blender to handle large-scale particle-based astrophysical data, offering high-quality visualization with interactive exploration capabilities.
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