Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, ...theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm.
All grown-up; 18 years of LHC@home Cameron, David; Field, Laurence; Van der Veken, Frederik ...
EPJ Web of Conferences,
2024, Letnik:
295
Journal Article, Conference Proceeding
Recenzirano
Odprti dostop
LHC@home was launched as a BOINC project in 2004 as an outreach project for CERN’s 50 years anniversary. Initially focused on the accelerator physics simulation code SixTrack, the project was ...expanded in 2011 to run other physics simulation codes on Linux thanks to virtualisation. Later on the experiment and theory applications running on the LHC@home platform have evolved to use containers and take advantage of the CVMFS file system as well as content delivery networks. Furthermore, a substantial part of the contributed computing capacity nowadays is provided as opportunistic back-fill from data centers with spare capacity, in addition to enthusiastic volunteers. The paper will address the challenges with this distributed computing model, new applications to exploit GPUs and the future outlook for volunteer computing.
DIRAC is a widely used framework for distributed computing. It provides a layer between users and computing resources by offering a common interface to a number of heterogeneous resource providers. ...In these proceedings we describe a new implementation of the DIRAC to Cloud interface.
Petri nets Diaz, Michel
2010., 2009, 2010-01-05, 2013-03-01
eBook
A Petri net is a mathematical representation of a network. This book first introduces the basic models including time and stochastic extensions, in particular place-transition and high level Petri ...nets. Their modeling and design capabilities are illustrated by a set of representations of interest in operating and communication systems. The volume then addresses the related verification problems and proposes corresponding solutions by introducing the main notions needed to fully understand the behavior and properties behind Petri nets. Particular attention is devoted to how systems can be fully represented and analyzed in terms of their behavioral, time, and stochastic aspects by using the same formal approach and semantic basis. Finally, illustrative examples are presented in the important fields of interoperability in telecommunication services, programming languages, multimedia architectures, manufacturing systems, and communication protocols.
Fog and Edge Computing Rajkumar Buyya, Satish Narayana Srirama
2019, 2018-12-31, 2019-01-04
eBook
</P> <b>A comprehensive guide to Fog and Edge applications, architectures, and technologies</b> <p>Recent years have seen the explosive growth of the Internet of Things ...&#40;IoT&#41;: the internet&#45; connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever&#45;increasing bandwidth demands and privacy concerns of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data closer to devices and more efficiently than traditional cloud architecture. <p><i>Fog and Edge Computing: Principles and Paradigms</i>provides a comprehensive overview of the state&#45;of&#45;the&#45;art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies. <p>Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: <ul> <li>Discusses IoT and new computing paradigms in the domain such as Fog, Edge and Mist</li> <li>Provides insights on transitioning from current Cloud&#45;centric and 4G/5G wireless environments to Fog computing</li> <li>Examines methods to optimize virtualized, pooled, and shared resources</li> <li>Identifies potential technical challenges and offers suggestions for possible solutions</li> <li>Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management</li> <li>Includes access to a website portal for advanced online resources</li> </ul> <p><i>Fog and Edge Computing: Principles and Paradigms</i>is an essential source of up&#45;to&#45;date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.
Find out how Events Processing (EP) works and how it can work for youBusiness Event Processing: An Introduction and Strategy Guidethoroughly describes what EP is, how to use it, and how it relates to ...other popular information technology architectures such as Service Oriented Architecture.Explains how sense and response architectures are being applied with tremendous results to businesses throughout the world and shows businesses how they can get started implementing EPShows how to choose business event processing technology to suit your specific business needs and how to keep costs of adopting it downProvides practical guidance on how EP is best integrated into an overall IT strategy and how its architectural styles differ from more conventional approachesThis book reveals how to make the most advantageous use of event processing technology to develop real time actionable management information from the events flowing through your company's networks or resulting from your business activities. It explains to managers and executives what it means for a business enterprise to be event-driven, what business event processing technology is, and how to use it.
Designed for researchers, engineers, IT professionals, and graduate students in parallel and cloud computing, this volume covers the state of the art in cloud computing theory and practice. It spans ...the background, concepts, services, and middleware of cloud computing. A range of scientific researchers and professors in cloud computing, grid computing, high-performance computing, and Internet computing discuss enabling techniques, system implementation, service functionalities, and various applications. Numerous case studies are included throughout the text.
Summary
This work attempts to analyze the limits of Weka Data Miner in executing the Simple K‐Means algorithm and makes an attempt to identify how much data is too much data for the Weka Data Miner ...to execute the algorithm. This work is further based on developing a distributed processing model to offer a better solution in handling large datasets. The required features are implemented using the RMI Call back Server. The Euclidean Distance measure is considered for calculating the distance.
Improved Pilot Logging in DIRAC Fayer, Simon; Martyniak, Janusz; Stagni, Federico
EPJ Web of Conferences,
01/2024, Letnik:
295
Conference Proceeding, Journal Article
Recenzirano
Odprti dostop
DIRAC is a widely used framework for distributed computing. It works by building a layer between the users and the resources offering a common interface to a number of heterogeneous providers. DIRAC, ...like many other workload management systems, uses pilot jobs to check and configure the worker-node environment before fetching a user payload. The log messages generated by these pilot jobs are crucial for diagnosing problems in the infrastructure. In these proceedings we present a configurable, resource independent remote pilot logging system.