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Network & Application Performance in Cloud Computing.

Network & Application Performance in Cloud Computing.
Author: Dr. Ashad Ullah Qureshi
Publisher: Concepts Books Publication
Total Pages: 65
Release: 2022-06-01
Genre: Computers
ISBN:

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In a world of data deluge, considerable computational power is necessary to derive knowledge from the mountains of raw data which surround us. This trend mandates the use of various parallelization techniques and runtimes to perform such analyses in a meaningful period of time. The information retrieval community has introduced a programming model and associated runtime architecture under the name of MapReduce, and it has demonstrated its applicability to several major operations performed by and within this community. Our initial research demonstrated that, although the applicability of MapReduce is limited to applications with fairly simple parallel topologies, with a careful set of extensions, the programming model can be extended to support more classes of parallel applications; in particular, this holds true for the class of Composable Applications.


Designing Networks and Services for the Cloud

Designing Networks and Services for the Cloud
Author: Huseni Saboowala
Publisher: Cisco Press
Total Pages: 336
Release: 2013-05-16
Genre: Computers
ISBN: 0132731002

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Designing Networks and Services for the Cloud Delivering business-grade cloud applications and services A rapid, easy-to-understand approach to delivering a secure, resilient, easy-to-manage, SLA-driven cloud experience Designing Networks and Services for the Cloud helps you understand the design and architecture of networks and network services that enable the delivery of business-grade cloud services. Drawing on more than 40 years of experience in network and cloud design, validation, and deployment, the authors demonstrate how networks spanning from the Enterprise branch/HQ and the service provider Next-Generation Networks (NGN) to the data center fabric play a key role in addressing the primary inhibitors to cloud adoption–security, performance, and management complexity. The authors first review how virtualized infrastructure lays the foundation for the delivery of cloud services before delving into a primer on clouds, including the management of cloud services. Next, they explore key factors that inhibit enterprises from moving their core workloads to the cloud, and how advanced networks and network services can help businesses migrate to the cloud with confidence. You’ll find an in-depth look at data center networks, including virtualization-aware networks, virtual network services, and service overlays. The elements of security in this virtual, fluid environment are discussed, along with techniques for optimizing and accelerating the service delivery. The book dives deeply into cloud-aware service provider NGNs and their role in flexibly connecting distributed cloud resources, ensuring the security of provider and tenant resources, and enabling the optimal placement of cloud services. The role of Enterprise networks as a critical control point for securely and cost-effectively connecting to high-performance cloud services is explored in detail before various parts of the network finally come together in the definition and delivery of end-to-end cloud SLAs. At the end of the journey, you preview the exciting future of clouds and network services, along with the major upcoming trends. If you are a technical professional or manager who must design, implement, or operate cloud or NGN solutions in enterprise or service-provider environments, this guide will be an indispensable resource. * Understand how virtualized data-center infrastructure lays the groundwork for cloud-based services * Move from distributed virtualization to “IT-as-a-service” via automated self-service portals * Classify cloud services and deployment models, and understand the actors in the cloud ecosystem * Review the elements, requirements, challenges, and opportunities associated with network services in the cloud * Optimize data centers via network segmentation, virtualization-aware networks, virtual network services, and service overlays * Systematically secure cloud services * Optimize service and application performance * Plan and implement NGN infrastructure to support and accelerate cloud services * Successfully connect enterprises to the cloud * Define and deliver on end-to-end cloud SLAs * Preview the future of cloud and network services


Cloud Services, Networking, and Management

Cloud Services, Networking, and Management
Author: Nelson L. S. da Fonseca
Publisher: John Wiley & Sons
Total Pages: 432
Release: 2015-04-20
Genre: Technology & Engineering
ISBN: 1118845943

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Cloud Services, Networking and Management provides a comprehensive overview of the cloud infrastructure and services, as well as their underlying management mechanisms, including data center virtualization and networking, cloud security and reliability, big data analytics, scientific and commercial applications. Special features of the book include: State-of-the-art content Self-contained chapters for readers with specific interests Includes commercial applications on Cloud (video services and games)


Cloud Computing

Cloud Computing
Author: Nick Antonopoulos
Publisher: Springer
Total Pages: 418
Release: 2017-06-02
Genre: Computers
ISBN: 3319546457

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This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.


Cloud Computing

Cloud Computing
Author: Nikos Antonopoulos
Publisher: Springer Science & Business Media
Total Pages: 386
Release: 2010-07-16
Genre: Computers
ISBN: 1849962413

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Cloud computing continues to emerge as a subject of substantial industrial and academic interest. Although the meaning and scope of “cloud computing” continues to be debated, the current notion of clouds blurs the distinctions between grid services, web services, and data centers, among other areas. Clouds also bring considerations of lowering the cost for relatively bursty applications to the fore. Cloud Computing: Principles, Systems and Applications is an essential reference/guide that provides thorough and timely examination of the services, interfaces and types of applications that can be executed on cloud-based systems. The book identifies and highlights state-of-the-art techniques and methods for designing cloud systems, presents mechanisms and schemes for linking clouds to economic activities, and offers balanced coverage of all related technologies that collectively contribute towards the realization of cloud computing. With an emphasis on the conceptual and systemic links between cloud computing and other distributed computing approaches, this text also addresses the practical importance of efficiency, scalability, robustness and security as the four cornerstones of quality of service. Topics and features: explores the relationship of cloud computing to other distributed computing paradigms, namely peer-to-peer, grids, high performance computing and web services; presents the principles, techniques, protocols and algorithms that can be adapted from other distributed computing paradigms to the development of successful clouds; includes a Foreword by Professor Mark Baker of the University of Reading, UK; examines current cloud-practical applications and highlights early deployment experiences; elaborates the economic schemes needed for clouds to become viable business models. This book will serve as a comprehensive reference for researchers and students engaged in cloud computing. Professional system architects, technical managers, and IT consultants will also find this unique text a practical guide to the application and delivery of commercial cloud services. Prof. Nick Antonopoulos is Head of the School of Computing, University of Derby, UK. Dr. Lee Gillam is a Lecturer in the Department of Computing at the University of Surrey, UK.


Application Workload Prediction and Placement in Cloud Computing Systems

Application Workload Prediction and Placement in Cloud Computing Systems
Author: Katrina Leigh LaCurts
Publisher:
Total Pages: 135
Release: 2014
Genre:
ISBN:

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Cloud computing has become popular in recent years. Companies such as Amazon and Microsoft host large datacenters of networked machines available for users to rent. These users are varied: from individual researchers to large companies. Their workloads range from short, resource-intensive jobs to long-running user-facing services. As cloud environments become more heavily used, provisioning the underlying network becomes more important. Previous approaches to deal with this problem involve changing the network infrastructure, for instance by imposing a particular topology [34] or creating a new routing protocol [27]. While these techniques are interesting and successful in their own right, we ask a different question: How can we improve cloud networks without changing the network itself? This question is motivated by two desires: first, that customers be able to improve their application's performance without necessarily involving the provider, and second, that our techniques be immediately applicable to today's cloud networks. This dissertation presents an end-to-end system, Cicada, which improves application performance on cloud networks. Cicada tackles two problems: how to model and predict an application's workload, and how to place applications on machines in the network. Cicada can be used by either cloud providers or customers. When used by a cloud provider, Cicada enables the provider to offer certain network performance guarantees to its customers. These guarantees give customers the confidence to use cloud resources when building their own user-facing applications (as there is no longer a risk of the cloud under-provisioning for the customer's network needs), and allow providers to better utilize their network. When used by customers, Cicada enables customers to satisfy their own objectives, such as minimizing the completion time of their application. To do this, Cicada exploits variation in the underlying cloud network to use the fastest paths most frequently. This requires an extension to Cicada, called Choreo, which performs quick, accurate, client-side measurement. We evaluate Cicada using data we collected from HP Cloud, a deployed network with real users. Cicada's workload prediction algorithm outperforms the existing state-of-the-art [20] by up to 90%. Its placement method reduces application completion time by an average of 22%-43%(maximum improvement: 79%) when applications arrive in real-time, and doubles inter-rack utilization in certain datacenter topologies. These results and others herein corroborate our thesis that application performance can be improved in cloud networks without making any changes to the network itself.


Integration of Cloud Computing with Internet of Things

Integration of Cloud Computing with Internet of Things
Author: Monika Mangla
Publisher: John Wiley & Sons
Total Pages: 386
Release: 2021-04-13
Genre: Computers
ISBN: 111976887X

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The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.


Heterogeneity, High Performance Computing, Self-Organization and the Cloud

Heterogeneity, High Performance Computing, Self-Organization and the Cloud
Author: Theo Lynn
Publisher: Springer
Total Pages: 183
Release: 2018-05-18
Genre: Business & Economics
ISBN: 3319760386

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This book is open access under a CC BY NC ND license. It addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.


Computational Network Application Tools for Performance Management

Computational Network Application Tools for Performance Management
Author: Millie Pant
Publisher: Springer Nature
Total Pages: 267
Release: 2019-10-18
Genre: Business & Economics
ISBN: 9813295856

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This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain. The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.


Integrated Networking, Caching, and Computing

Integrated Networking, Caching, and Computing
Author: F. Richard Yu
Publisher: CRC Press
Total Pages: 251
Release: 2018-06-13
Genre: Computers
ISBN: 1351611240

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This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.