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Artificial Intelligent Load Balance Agent On Network Traffic Across Multiple Heterogeneous Distributed Computing Systems
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Book Synopsis Artificial Intelligent Load Balance Agent on Network Traffic Across Multiple Heterogeneous Distributed Computing Systems by : Anit Kumar
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.
Book Synopsis Scheduling in Distributed Computing Environment Using Dynamic Load Balancing by : Priyesh Kanungo
Download or read book Scheduling in Distributed Computing Environment Using Dynamic Load Balancing written by Priyesh Kanungo and published by Anchor Academic Publishing. This book was released on 2016-08 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates various components of Distributed Computing Environment and the importance of distributed scheduling using Dynamic Load Balancing. It describes load balancing algorithms for better resource utilization, increasing throughput and improving user’s response time. Various theoretical concepts, experiments, and examples enable students to understand the process of load balancing in computing cluster and server cluster. The book is suitable for students of Advance Operating Systems, High Performance Computing, Distributed Computing in B.E., M.C.A., M. Tech. and Ph.D courses.
Book Synopsis Artificial Intelligence and Simulation by : Tag G. Kim
Download or read book Artificial Intelligence and Simulation written by Tag G. Kim and published by Springer Science & Business Media. This book was released on 2005-01-31 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, held in Jeju Island, Korea in October 2004. The 74 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 170 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodologies, intelligent control, computer and network security, HLA and simulator interoperation, manufacturing, agent-based modeling, DEVS modeling and simulation, parallel and distributed modeling and simulation, mobile computer networks, Web-based simulation and natural systems, modeling and simulation environments, AI and simulation, component-based modeling, watermarking and semantics, graphics, visualization and animation, and business modeling.
Book Synopsis Distributed Constraint Satisfaction by : Makoto Yokoo
Download or read book Distributed Constraint Satisfaction written by Makoto Yokoo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement. Also, an extension of the basic CSP formalization called "Partial CSP" is introduced in order to handle over-constrained CSPs.
Book Synopsis Load Balance For Distributed Real-time Computing Systems by : Junhua Fang
Download or read book Load Balance For Distributed Real-time Computing Systems written by Junhua Fang and published by World Scientific. This book was released on 2020-05-19 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.
Book Synopsis A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH by : Dr P. SrinivasaRao
Download or read book A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH written by Dr P. SrinivasaRao and published by Lulu.com. This book was released on 2017-12-30 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: A distributed system consists of many heterogeneous processors with different processing power and all processors are interconnected with a communication channel. In such a system, if some processors are less loaded or idle and others are heavily loaded, the system performance will be reduced drastically. System performance can be improved by using proper load balancing [1, 4]. The aim of load balancing is to improve the performance measures and reduce the overall completion time and cost
Book Synopsis Mobile Hybrid Intrusion Detection by : Álvaro Herrero
Download or read book Mobile Hybrid Intrusion Detection written by Álvaro Herrero and published by Springer Science & Business Media. This book was released on 2011-01-19 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book. This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment. The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations.
Book Synopsis Collaborative Computer Security and Trust Management by : Seigneur, Jean-Marc
Download or read book Collaborative Computer Security and Trust Management written by Seigneur, Jean-Marc and published by IGI Global. This book was released on 2009-12-31 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book combines perspectives of leading researchers in collaborative security to discuss recent advances in this burgeoning new field"--Provided by publisher.
Book Synopsis Wireless Network Traffic and Quality of Service Support: Trends and Standards by : Lagkas, Thomas D.
Download or read book Wireless Network Traffic and Quality of Service Support: Trends and Standards written by Lagkas, Thomas D. and published by IGI Global. This book was released on 2010-03-31 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers cutting edge approaches for the provision of quality of service in wireless local area networks"--Provided by publisher.
Book Synopsis Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series by : Francois Belletti
Download or read book Alternate Representations for Scalable Analysis and Control of Heterogeneous Time Series written by Francois Belletti and published by . This book was released on 2017 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent increase in the availability of very large data sets has enabled major breakthroughs in Artificial Intelligence. Automated devices are now able to achieve a higher level of performance in computer vision, playing perfect and imperfect information games, and language processing which now compares to that of humans. Such progress is largely due to improved Single Instruction Multiple Data computing capabilities and higher bandwidth in distributed computing systems and innovative methods to leverage them. A plethora of algorithms and theories developed in the field of Machine Learning enable better identification of system dynamics and extensive control of the corresponding systems. However, the vast majority of research focuses on problems dealing with homogenous observation data sets or control environment. Additionally, a large amount of work has focused on data sets comprising only of images, videos featuring similar sampling frequencies, and of time series with regular and identical timestamps of observation. Such a setting is not representative of the actual way data sets are collected and problems present themselves to practitioners. The present work delves into a more realistic setting where a unified representation of the data or control problem of interest is not available. We deal with a collection of heterogeneous sub-parts that relate one to another but do not naturally present themselves to practitioners in a homogenous fashion. Our main objective is to design methods that are readily applicable to heterogenous data sets and control problems in the distributed setting. The development of techniques that can be employed without additional pre-processing of the data makes them more practical to use by a broader range of individuals, companies and institutions. We first focus on large multi-variate time series comprising of observations that are not synchronous in time. We then tackle Partial Differential Equations featuring a spatial continuum of distinct states. After this initial focus on the identification of dynamics in time series -- otherwise referred to as time series analysis -- we delve into the topic of control. Control leverages the knowledge we gather about a system in order to have it reach a particular desirable state. Part of the new work presented in the current work therefore focuses on the control of distributed cohorts of agents subject to individually unique constraints. Finally, we extend the work conducted separately to heterogenous time series analysis and control and devise strategies beneficial for neural policies that identify system dynamics and optimal actions as part of the same module. As we move from system identification to distributed control our aim is to find representations of the initial heterogenous problem that are homogenous and enable communication avoidance. In each of the chapters of the present work, we methodically design an alternate unifying and summarizing representation of the initial data set or control problem of interest. Our motivation to find small, concise yet expressive representations is that they enable scalable computations in the distributed setting. When utilizing cohorts of computers inter-connected by a medium such as an ethernet or wireless network, communication time presents the main factor in the overall computing time. Decreasing the size of the messages that need to be transmitted therefore minimizes the overhead created by the need to communication information from a machine to another. With less time wasted in communication, we maximize the benefit of having more computational power and memory in the form of a distributed system. We find by designing communication avoiding homogenous representations that statistical efficiency appears as a natural by-product. To that end, we leverage elements of stochastic process and point process theory, distributed spectral representations of linearized Partial Differential equations, convex duality and stochastic optimization, and finally specific regularization schemes in Reinforcement Learning of deep neural policies. The present work features novel results on the estimation of cross-correlation of irregularly observed time series with event-driven sampling. A new analysis of the linearized Aw-Rascle-Zhang system of Partial Differential Equations is developed that unravels conditions for travelling waves to expand in the system. A comparative study of a dual splitting algorithm we developed for distributed control reveals new results that highlight how the messages being transmitted are more useful to the cohort of agents for control than for an adversary to eavesdrop on individuals. The regularization scheme we developed for neural control policies enabled extensive and robust control ability that compares with cutting edge parametric control strategies despite that no preliminary calibration is needed with our method. The applications entailed in our numerical experiments span the fields of quantitative finance, macroscopic traffic modeling, Mobility-as-a-Service, electrical load balancing, and optimal ramp metering for freeways. The alternate representations we develop are statistically efficient, scale naturally and are readily usable with collections of data-sets or controllers which may not rely on similar representational conventions.
Download or read book Artificial Intelligence written by and published by BoD – Books on Demand. This book was released on 2021-09-01 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science.
Book Synopsis IJCAI-93 by : International Joint Conferences on Artificial Intelligence
Download or read book IJCAI-93 written by International Joint Conferences on Artificial Intelligence and published by . This book was released on 1993 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Underwater Acoustic Sensor Networks by : Yang Xiao
Download or read book Underwater Acoustic Sensor Networks written by Yang Xiao and published by CRC Press. This book was released on 2010-05-19 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed review of underwater channel characteristics, Underwater Acoustic Sensor Networks investigates the fundamental aspects of underwater communication. Prominent researchers from around the world consider contemporary challenges in the development of underwater acoustic sensor networks (UW-ASNs) and introduce a cross-layer approach for effec
Book Synopsis Load Balancing of Irregular Parallel Applications on Heterogeneous Computing Environments by : Vladimir Janjic
Download or read book Load Balancing of Irregular Parallel Applications on Heterogeneous Computing Environments written by Vladimir Janjic and published by . This book was released on 2012 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis BALANCE: Signature-BAsed LoAd MaNagement for Loosely Coupled Heterogeneous DistributEd Systems by :
Download or read book BALANCE: Signature-BAsed LoAd MaNagement for Loosely Coupled Heterogeneous DistributEd Systems written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Most distributed systems are characterized by modular architecture, distribution of distinct resource (hardware characteristics) and application (workload characteristics) features supporting heterogeneous processing elements. Due to the inherent heterogeneity and distribution nature, entities in distributed systems often tend to have uneven load distribution. In this light, it is imperative to have an efficient load management scheme for heterogeneous distributed systems. Most existing load balancing algorithms determine the appropriate machine for task or process execution using coarse-grained information such as average load on each host. Nevertheless, since distributed systems are characterized by multiple metrics, load balancing algorithms need to consider multi-dimensional resource requirements. More importantly, rather than characterizing system metric using coarse-grained information, the load balancing algorithm needs to consider fine-grained measurements in order to achieve efficient load management for dynamic distributed systems. In this thesis, we present BALANCE, a signature-based load management system to improve resource utilization in dynamic heterogeneous distributed systems. BALANCE dynamically captures fine-grained signatures of dynamic application workloads using time series patterns, performs precise resource tracking and allocation based on the extracted signatures. BALANCE employs multi-dimensional time series indexing and uses Pastry, an existing scalable peer-to-peer scalable storage system to achieve efficiency and scalability respectively. We implement a prototype of BALANCE and deploy it on the PlanetLab and NCSU Virtual Computing Lab (VCL). Our experiments show that BALANCE completes efficient task allocation and hence load balancing within tens of milliseconds. It improves the overall request satisfaction rate by 30-80% compared to the existing approaches.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799853403 Total Pages :2700 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing by : Management Association, Information Resources
Download or read book Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-01-25 with total page 2700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Book Synopsis Software Agents for Future Communication Systems by : Alex Hayzelden
Download or read book Software Agents for Future Communication Systems written by Alex Hayzelden and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agent technology has recently become one of the most vibrant and fastest growing areas in information technology. This is the first systematic introduction to software agents with the goal of exploiting them in future communication systems. The coherently written chapters provide complementary coverage of the relevant issues. Multi-agent systems and mobile agent approaches are presented and applied to important topics in future communication systems.