Download or read book Creativity in Load Balance Schemes for Multi Many Core Heterogeneous Graph Computing Emerging Research and Opportunities written by Garcia-Robledo, Alberto and published by IGI Global. This book was released on 2018-01-05 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed the rise of analysis of real-world massive and complex phenomena in graphs; to efficiently solve these large-scale graph problems, it is necessary to exploit high performance computing (HPC), which accelerates the innovation process for discovery and invention of new products and procedures in network science. Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing: Emerging Research and Opportunities is a critical scholarly resource that examines trends, challenges, and collaborative processes in emerging fields within complex network analysis. Featuring coverage on a broad range of topics such as high-performance computing, big data, network science, and accelerated network traversal, this book is geared towards data analysts, researchers, students in information communication technology (ICT), program developers, and academics.

Download or read book Creativity in Load Balance Schemes for Multi Many Core Heterogeneous Graph Computing Emerging Research and Opportunities written by Alberto|Arturo|Guillermo and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling and Simulations for Metamaterials Emerging Research and Opportunities written by Armghan, Ammar and published by IGI Global. This book was released on 2018-03-02 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and study of materials is a pivotal component to new discoveries in the various fields of science and technology. By understanding the components and structures of materials, researchers can increase its applications across different industries. Modeling and Simulations for Metamaterials: Emerging Research and Opportunities is a critical scholarly resource that examines the physics of metamaterials with an emphasis on negative-index metamaterials and their applications at terahertz frequencies. Featuring coverage on a broad range of topics, such as electromagnetic waves, harmonic oscillator model, and scattering analysis, this book is geared towards academicians, researchers, engineers, industrialists, and graduate students researching in the field.

Download or read book Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science written by Raj, Pethuru and published by IGI Global. This book was released on 2018-05-18 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fog computing is quickly increasing its applications and uses to the next level. As it continues to grow, different types of virtualization technologies can thrust this branch of computing further into mainstream use. The Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science is a key reference volume on the latest research on the role of next-generation systems and devices that are capable of self-learning and how those devices will impact society. Featuring wide-ranging coverage across a variety of relevant views and themes such as cognitive analytics, data mining algorithms, and the internet of things, this publication is ideally designed for programmers, IT professionals, students, researchers, and engineers looking for innovative research on software-defined cloud infrastructures and domain-specific analytics.

Download or read book Vehicular Cloud Computing for Traffic Management and Systems written by Grover, Jyoti and published by IGI Global. This book was released on 2018-06-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.

Download or read book Handbook of Research on Power and Energy System Optimization written by Kumar, Pawan and published by IGI Global. This book was released on 2018-03-16 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the development of advanced structures for providing sustainable energy has been a topic at the forefront of public and political conversation. Many are looking for advancements on pre-existing sources and new and viable energy options to maintain a modern lifestyle. The Handbook of Research on Power and Energy System Optimization is a critical scholarly resource that examines the usage of energy in relation to the perceived standard of living within a country and explores the importance of energy structure augmentation. Featuring coverage on a wide range of topics including energy management, micro-grid, and distribution generation, this publication is targeted towards researchers, academicians, and students seeking relevant research on the augmentation of current energy structures to support existing standards of living.

Download or read book Handbook of Research on Contemporary Perspectives on Web Based Systems written by Elçi, Atilla and published by IGI Global. This book was released on 2018-05-04 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information systems development underwent many changes as systems transitioned onto web-based forums. Complemented by advancements in security and technology, internet-based systems have become an information mainstay. The Handbook of Research on Contemporary Perspectives on Web-Based Systems is a critical scholarly resource that examines relevant theoretical frameworks, current practice guidelines, industry standards, and the latest empirical research findings in web-based systems. Featuring coverage on a wide range of topics such as data integration, mobile applications, and semantic web, this publication is geared toward computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students seeking current and relevant research on the prevalence of these systems and advancements made to them.

Download or read book Multidisciplinary Approaches to Service Oriented Engineering written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-06-01 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The service industry is continually improving, forcing service-oriented engineering to improve alongside it. In a digitalized world, technology within the service industry has adapted to support interactions between users and organizations. By identifying key problems and features, service providers can help increase facilitator profitability and user satisfaction. Multidisciplinary Approaches to Service-Oriented Engineering is a well-rounded collection of research that examines methods of providing optimal system design for service systems and applications engineering. While exploring topics such as cloud ecosystems, interface localization, and requirement prioritization, this publication provides information about the approaches and development of software architectures to improve service quality. This book is a vital resource for engineers, theoreticians, educators, developers, IT consultants, researchers, practitioners, and professionals.

Download or read book Applications of Security Mobile Analytic and Cloud SMAC Technologies for Effective Information Processing and Management written by Karthikeyan, P. and published by IGI Global. This book was released on 2018-06-29 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: From cloud computing to big data to mobile technologies, there is a vast supply of information being mined and collected. With an abundant amount of information being accessed, stored, and saved, basic controls are needed to protect and prevent security incidents as well as ensure business continuity. Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management is a vital resource that discusses various research findings and innovations in the areas of big data analytics, mobile communication and mobile applications, distributed systems, and information security. With a focus on big data, the internet of things (IoT), mobile technologies, cloud computing, and information security, this book proves a vital resource for computer engineers, IT specialists, software developers, researchers, and graduate-level students seeking current research on SMAC technologies and information security management systems.

Download or read book Augmented Reality for Enhanced Learning Environments written by Reyes Ruiz, Gerardo and published by IGI Global. This book was released on 2018-05-18 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an environment where some countries are coming out of the recession at different speeds and others remain in a gloomy economic environment, education plays a vital role in reducing the negative impact of the global economic problems. In this sense, new technologies help to generate human resources with a better quality of education. Augmented Reality for Enhanced Learning Environments provides emerging research on using new technologies to encourage education and improve learning quality through augmented reality. While highlighting issues such as global economic problems impacting schools and insufficient aid, this publication explores new technologies in emerging economies and effective means of knowledge and learning transfer. This book is a vital resource for teachers, students, and aid workers seeking current research on creating a new horizon in science and technology to strengthen the current system of learning.

Download or read book Big Data Analytics for Satellite Image Processing and Remote Sensing written by Swarnalatha, P. and published by IGI Global. This book was released on 2018-03-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Download or read book Innovative Methods User Friendly Tools Coding and Design Approaches in People Oriented Programming written by Goschnick, Steve and published by IGI Global. This book was released on 2018-05-09 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: As modern technologies continue to develop and evolve, the ability of users to interface with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies is necessary to fully realize the potential of twenty-first-century tools. Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming is a critical scholarly resource that examines development and customization user interfaces for advanced technologies and how these interfaces can facilitate new developments in various fields. Featuring coverage on a broad range of topics such as role-based modeling, end-user composition, and wearable computing, this book is a vital reference source for programmers, developers, students, and educators seeking current research on the enhancement of user-centric information system development.

Download or read book Artificial Intelligent Load Balance Agent on Network Traffic Across Multiple Heterogeneous Distributed Computing Systems written by Anit Kumar and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed computing is a very common term in the field of computer science and also a very general computing paradigm which is being used by almost all the scientific and industrial computing applications. All the information technology applications have based upon the use of the distributed computing. It came on demand day by day with the evolution high speed internet. Distributed services are generally deployed on different servers somewhere at a particular geographical region and its consumers are mostly spread over the world wide. Most commercial application now a days providing its platform to access multiple different distributed computing service to provide a set of different consumer services to their customers like an example of ecommerce giant vendors Amazon and PayTM are providing many consumer services like Shopping, Bill payment, Purchasing travel ticket and Top-up mobile balance etc. on a single platform. Since the needs of customers increases day by day and they want as much as services on a single platform, so there comes up of accessing many distributed services on a single platform over some network. As soon as this kind of computer applications started to come into the commercial market, the number of its users started to increase exponentially over the time. By the time it became very difficult to handle and respond to its various users at the same. There is a high risk for the organizations of losing their customers, if they are unable to provide services with a minimal possible response time. If an application has comparatively less features but its response is fast, then it became a widely used product in the market. Hence almost all the organization invests a separate large amount of money annually on the maintenance of its computer applications to boost its performance and response. Even though there are still many challenges in this field, since organization has a limited computing and networking resources to provide their services to its users which are in millions in number. Hence, it has been always a major area of research for many engineers and scientists from all over the world to implement and deliver an algorithm that would be able to solve all these types of problem and provide the services up to the customer satisfaction. This research paper provides the systematic literaraute review on different and best of the till known load balancing system which is artificial intelligence enough to determine the resource capacity of the host server to allow only permitted number of jobs at the same time which falls under resource constraint of the server.

Download or read book Global Load Balancing with Parallel Mesh Adaption on Distributed memory Systems written by Rupak Biswas and published by . This book was released on 1996 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Dynamic mesh adaption on unstructured grids is a powerful tool for efficiently computing unsteady problems to resolve solution features of interest. Unfortunately, this causes load imbalance among processors on a parallel machine. This paper describes the parallel implementation of a tetrahedral mesh adaption scheme and a new global load balancing method. A heuristic remapping algorithm is presented that assigns partitions to processors such that the redistribution cost is minimized. Results indicate that the parallel performance of the mesh adaption code depends on the nature of the adaption region and show a 35.5X speedup on 64 processors of an SP2 when 35% of the mesh is randomly adapted. For large-scale scientific computations, our load balancing strategy gives almost a sixfold reduction in solver execution times over non-balanced loads. Furthermore, our heuristic remapper yields processor assignments that are less than 3% off the optimal solutions but requires only 1% of the computational time."

Download or read book Improving Distributed Graph Processing by Load Balancing and Redundancy Reduction written by Shuang Song (Ph. D.) and published by . This book was released on 2020 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data generated every day is growing exponentially in the big data era. A significant portion of this data is stored as graphs in various domains, such as online retail and social networks. Analyzing large-scale graphs provides important insights that are highly utilized in many areas, such as recommendation systems, banking systems, and medical diagnosis. To accommodate analysis on large-scale graphs, developers from industry and academia design the distributed graph processing systems. However, processing graphs in a distributed manner suffers performance inefficiencies caused by workload imbalance and redundant computations. For instance, while data centers are trending towards a large amount of heterogeneous processing machines, graph partitioners still operate under the assumption of uniform computing resources. This leads to load imbalance that degrades the overall performance. Even with a balanced data distribution, the irregularity of graph applications can result in different amounts of dynamic operations on each machine in the cluster. Such imbalanced work distribution slows down the execution speed. Besides these, redundancy also impacts the performance of distributed graph analysis. To utilize the available parallelism of computing clusters, distributed graph systems deploy the repeated-relaxing computation model (e.g., Bellman-Ford algorithm variants) rather than in a sequential but work-optimal order. Studies performed in this dissertation show that redundant computations pervasively exist and significantly impact the performance efficiency of distributed graph processing. This dissertation explores novel techniques to reduce the workload imbalance and redundant computations of analyzing large-scale graphs in a distributed setup. It evaluates proposed techniques on both pre-processing and execution modules to enable fair data distribution, lightweight workload balancing, and redundancy optimization for future distributed graph processing systems. The first contribution of this dissertation is the Heterogeneity-aware Partitioning (HAP) that aims to balance load distribution of distributed graph processing in heterogeneous clusters. HAP proposes a number of methodologies to estimate various machines’ computational power on graph analytics. It also extends several state-of-the-art partitioning algorithms for heterogeneity-aware data distribution. Utilizing the estimation of machines’ graph processing capability to guide extended partitioning algorithms can reduce load imbalance when processing a large-scale graph in heterogeneous clusters. This results in significant performance improvement. Another contribution of the dissertation is the Hula, which optimizes the workload balance of distributed graph analytics on the fly. Hula offers a hybrid graph partitioning algorithm to split a large-scale graph in a locality-friendly manner and generate metadata for lightweight dynamic workload balancing. To track machines’ work intensity, Hula inserts hardware timers to count the time spent on the important operations (e.g., computational operations and atomic operations). This information can guide Hula’s workload scheduler to arrange work migration. With the support of metadata generated by the hybrid partitioner, Hula’s migration scheme only requires a minimal amount of data to transfer work between machines in the cluster. Hula’s workload balancing design achieves a lightweight imbalance reduction on the fly. Finally, this dissertation focuses on improving the computational efficiency of distributed graph processing. To do so, it reveals the root cause and the amount of redundant computations in distributed graph processing. SLFE is proposed as a system solution to reduce these redundant operations. SLFE develops a lightweight pre-processing technique to obtain the maximum propagation order of each vertex in a given graph. This information is defined as Redundancy Reduction Guidance (RRG) and is utilized by SLFE’s Redundancy Reduction (RR)-aware computing model to prune redundant operations on the fly. Moreover, SLFE provides RRaware APIs to maintain high promgrammablity. These techniques allow the redundancy optimizations of distributed graph processing to become transparent to users

Download or read book Heterogeneous Cluster Computing for Many task Exact Optimization written by Jan Gmys and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Branch-and-Bound (B&B) is a frequently used tree-search exploratory method for the exact resolution of combinatorial optimization problems (COPs). However, in practice, only small problem instances can be solved on a sequential computer, as B&B generates often generates a huge amount of subproblems to be evaluated. In order to solve large COPs, we revisit the design and implementation of massively parallel B&B on top of large heterogeneous clusters, integrating multi-core CPUs, many-core processors and GPUs. For the efficient storage and management of subproblems an original data structure (IVM) dedicated to permutation problems is used. Because of the highly irregular and unpredictable shape of the B&B tree, dynamic load balancing between parallel exploration processes is one of the main issues addressed in this thesis. Based on a compact encoding of the search space in the form of intervals, work stealing strategies for multi-core and GPU are proposed, as well as hierarchical approaches for load balancing in distributed memory multi-CPU/multi-GPU systems. Three permutation problems, the Flowshop Scheduling Problem (FSP), the Quadratic Assignment Problem (QAP) and the n-Queens puzzle problem are used as test-cases. The resolution, in 9 hours, of a FSP instance with an estimated sequential execution time of 22 years demonstrates the scalability of the proposed algorithms on a cluster composed of 36 GPUs.

Download or read book A Performance Study of Diffusive Vs Remapped Load balancing Schemes written by K. Schloegel and published by . This book was released on 1998 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "For a large class of irregular grid applications, the computational structure of the problem changes in an incremental fashion from one phase of the computation to another. Eventually, as the graph evolves, it becomes necessary to correct the partition in accordance with the structural changes in the computation. Two different types of schemes to accomplish this task have been developed recently. In one scheme, the graph is partitioned from scratch and then the resulting partition is remapped intelligently to the original partition. The second type of scheme uses a multi-level diffusion repartitioner. In this paper, we conduct a comparison study on repartitioning via intelligent remapping versus repartitioning by diffusion. We show that multilevel diffusion algorithms generally produce significantly lower data migration overhead for adaptive graphs in which low magnitude localized or non-localized imbalances occur and for graphs in which high magnitude imbalances occurs globally throughout the domains than partitioning from scratch and remapping the resulting partition. We show that for the class of problems in which high magnitude imbalances occur in localized areas of the graph, partitioning from scratch and remapping the resulting partition will result in higher quality partitions than diffusion schemes, while obtaining data migration overheads which are comparable to those obtained by diffusive schemes. Finally, we show that the run times of the various schemes are all similar."