Cloud

See the latest white papers on how cloud computing and cloud services have transformed the IT industry, from data center services to virtualization, software-as-a-service, infrastructure-as-a-service, platform-as-a service and more.

  • White Papers // Oct 2009

    Cloud Computing Resource Management Through a Grid Middleware: A Case Study With DIET and Eucalyptus

    The Cloud phenomenon is quickly growing towards becoming the de facto standard of Internet Computing, storage and hosting both in industry and academia. The large scalability possibilities offered by Cloud platforms can be harnessed not only for services and applications hosting but also as a raw on-demand computing resource. This...

    Provided By INRIA

  • White Papers // Aug 2010

    Building a Cloud Computing Specification: Fundamental Engineering for Optimizing Cloud Computing Initiatives

    The need for a specification for Cloud Computing has emerged. The commoditization of the term "Cloud Computing" for various marketing purposes has diluted, and in some cases compromised the underlying intent of Cloud Computing. However, the recognition of the foundational computing model inferred by the generic term as a significant...

    Provided By Computer Sciences

  • White Papers // Apr 2012

    Making Infrastructure-as-a-Service in the Enterprise a Reality

    Virtualization, cloud computing, massive growth in unstructured data, transaction volumes, and applications and demands for energy efficiency are all driving datacenters to rethink how IT resources should be deployed. Many enterprises are transforming their IT infrastructure from multiple independent datacenters to an Infrastructure-as-a-Service (IaaS) model, in which shared pools of...

    Provided By Oracle

  • White Papers // Jan 2013

    Accelerating Deployment of Enterprise Database Cloud Using an Oracle Optimized Solution

    Oracle understands the strategic benefit at the heart of cloud computing initiatives - a cloud-based services delivery model allows IT to make improvements in agility, quality of service, and cost efficiencies, helping IT to align its operations more closely with the organization's core business objectives. Since the foundation of many...

    Provided By Oracle

  • White Papers // May 2010

    Architectural Strategies for IT Optimization: From Silos to Clouds

    In business and IT, there is no steady state where one grand plan can optimize all aspects of an enterprise's architecture. Amidst the best intentions, the dynamics of business continuously drive sub-optimal, redundant, and ad hoc IT responses. As the IT portfolio grows, IT legacy investments and architectures begin to...

    Provided By Oracle

  • White Papers // Apr 2009

    Oracle Application Express and Amazon Cloud

    Oracle Application Express, a feature of the Oracle database 11g, combines rapid web application development with the power of the Oracle database. Its easy to use browser based application builder enables developers and non-programmers to develop and deploy data driven web applications in very little time. Oracle APEX doesn't depend...

    Provided By Oracle

  • White Papers // Jan 2010

    Point Cloud: Storage, Loading, and Visualization

    In recent years laser scanning and terrestrial imaging have enabled the collection of large amounts of LiDAR (Light Detection and Ranging) data. New laser scanning equipment made it easier to acquire 3-D representations of real world entities as high-density point clouds, which may then be generalized to compact forms such...

    Provided By Oracle

  • White Papers // Oct 2009

    Achieving the Cloud Computing Vision

    Cloud computing is enabling the agility required by organizations to be leaders in today's ever growing global economy. It is accelerating the time to market for new products and services while reducing the costs to design, build, deploy, and support these products and services. It has the ability to fundamentally...

    Provided By Oracle

  • White Papers // Mar 2013

    Enterprise Cloud Infrastructure on SPARC - An Oracle Optimized Solution

    The Oracle Optimized Solution for Enterprise Cloud Infrastructure on SPARC addresses key challenges in deploying a virtualized cloud infrastructure - reducing time-to-deployment, lowering costs, and eliminating risk. IT organizations typically spend multiple weeks to plan, architect, troubleshoot, and deploy a full multi-vendor solution. Deployment teams must assemble and integrate a...

    Provided By Oracle

  • White Papers // May 2011

    Energy-Aware Ant Colony Based Workload Placement in Clouds

    With cloud computing becoming ubiquitous, cloud providers are starting to deploy increasing numbers of energy hungry data centers. Energy conservation then becomes essential, in order to decrease operation costs and increase the system reliability. One traditional approach to conserve energy in these environments is to perform workload (i.e., VM) consolidation....

    Provided By INRIA

  • White Papers // May 2011

    Cost Reduction Through SLA-Driven Self-Management

    A main challenge for service providers is managing Service-Level Agreements (SLAs) with their customers while satisfying their business objectives, such as maximizing profits. Most current systems fail to consider business objectives and thus to provide a complete SLA management solution. This paper proposes an SLA-driven management solution that aims to...

    Provided By INRIA

  • White Papers // Aug 2010

    BlobSeer: Next Generation Data Management for Large Scale Infrastructures

    As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing gain an increasing importance. The emergence of highly scalable infrastructures, e.g. for cloud computing and for petascale computing and beyond introduces additional issues for...

    Provided By INRIA

  • White Papers // May 2011

    Building Dynamic Computing Infrastructures Over Distributed Clouds

    The emergence of cloud computing infrastructures brings new ways to build and manage computing systems, with the flexibility offered by virtualization technologies. This paper focuses on two principal objectives. First, leveraging virtualization and cloud computing infrastructures to build distributed large scale computing platforms from multiple cloud providers, allowing running software...

    Provided By INRIA

  • White Papers // Mar 2011

    Towards a Self-Adaptive Data Management System for Cloud Environments

    Recently, important academic and industrial actors, such as Google, Amazon or Yahoo!, have started to investigate Cloud computing, an emerging paradigm for managing computing resources. Various Cloud computing infrastructure platforms have been proposed as alternatives for clusters or grids, which are the typical infrastructures for large-scale distributed applications. These kinds...

    Provided By INRIA

  • White Papers // Feb 2011

    Combining Grid and Cloud Resources by Use of Middleware for SPMD Applications

    Distributed computing environments have evolved from in-house clusters to Grids and now Cloud platforms. The authors, as others, provide HPC benchmarks results over Amazon EC2 that show a lower performance of Cloud resources compared to private resources. So, it is not yet clear how much of impact Clouds will have...

    Provided By INRIA

  • White Papers // Oct 2010

    Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services

    The cloud computing model aims to make large-scale data-intensive computing affordable even for users with limited financial resources that cannot invest into expensive infrastructures necessary to run them. In this paper, MapReduce is emerging as a highly scalable programming paradigm that enables high-throughput data-intensive processing as a cloud service. Its...

    Provided By INRIA

  • White Papers // Oct 2010

    Towards XtreemOS in the Clouds - Automatic Deployment of XtreemOS Resources in a Nimbus Cloud

    Grid computing is a well-known and mature model of distributed computing based on the idea of collaborative sharing of resources between multiple users. Grids are generally used for executing large and long running applications. These applications are set up and configured to work on specific kinds of hardware and software....

    Provided By INRIA

  • White Papers // Oct 2010

    Efficient VM Storage for Clouds Based on the High-Throughput BlobSeer BLOB Management System

    Cloud computing has recently emerged as a new computing paradigm aiming at providing reliable, flexible, IT infrastructure and services based on externalized, virtual resources. In this paper, users may upload Virtual Machine (VM) images into a Cloud storage service, from which they are propagated on demand to the physical nodes...

    Provided By INRIA

  • White Papers // Jul 2010

    Forecasting for Cloud Computing On-Demand Resources Based on Pattern Matching

    The Cloud phenomenon brings along the cost-saving benefit of dynamic scaling. Knowledge in advance is necessary as the virtual resources that Cloud computing uses have a setup time that is not negligible. The authors propose a new approach to the problem of workload prediction based on identifying similar past occurrences...

    Provided By INRIA

  • White Papers // Apr 2010

    Decision Model for Cloud Computing Under SLA Constraints

    With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and thus control the balance of reliability versus monetary costs. A critical challenge is to determine bid prices that minimize monetary costs for a user while meeting Service Level Agreement (SLA)...

    Provided By INRIA

  • White Papers // Nov 2009

    ROCS: A Remotely Provisioned OSGi Framework for Ambient Systems

    One of the challenges of ambient systems lies in providing all the available services of the environment to the ambient devices, even if they do not physically host those services. Although this challenge has come to find a solution through cloud computing, there are still few devices and operating systems...

    Provided By INRIA

  • White Papers // Apr 2010

    Autonomic Virtual Resource Management for Service Hosting Platforms

    This paper addresses the problem of autonomic virtual resource management for hosting service platforms with a two-level architecture which isolates application-specific functions from a generic decision-making layer. The authors take into account both high-level performance goals of the hosted applications and objectives related to the placement of virtual machines on...

    Provided By INRIA

  • White Papers // Apr 2010

    SLA-Aware Virtual Resource Management for Cloud Infrastructures

    Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provides great flexibility with the ability to consolidate several virtual machines on the same physical server, to...

    Provided By INRIA

  • White Papers // Apr 2010

    Multi-Facet Approach to Reduce Energy Consumption in Clouds and Grids: The GREEN-NET Framework

    This paper presents an integrated framework for energy savings in large scale distributed systems such as grids and clouds. The framework comprises tools and mechanisms: to measure and log data about the energy consumed by resources; to present this information to users; to involve the users in decisions to reduce...

    Provided By INRIA

  • White Papers // Aug 2011

    On the Benefits of Transparent Compression for Cost-Effective Cloud Data Storage

    Infrastructure-as-a-Service (IaaS) cloud computing has revolutionized the way one thinks of acquiring computational resources: it allows users to deploy Virtual Machines (VMs) at large scale and pay only for the resources that were actually used throughout the runtime of the VMs. This new model raises new challenges in the design...

    Provided By INRIA

  • White Papers // Mar 2011

    Going Back and Forth: Efficient Multideployment and Multisnapshotting on Clouds

    Infrastructure as a Service (IaaS) cloud computing has revolutionized the way one thinks of acquiring resources by introducing a simple change: allowing users to lease computational resources from the cloud provider's datacenter for a short time by deploying Virtual Machines (VMs) on these resources. This new model raises new challenges...

    Provided By INRIA

  • White Papers // Feb 2010

    Towards XtreemOS in the Clouds - Automatic Deployment of an XtreemOS Resource in a Nimbus Cloud

    Cloud is a new computing model which seamlessly provides on-demand resource lease as transparent services to the user and it is based on virtualization technologies. Grid is a mature model based on his ideas of Virtual Organizations and collaborative sharing of resources between them. Nimbus is an open source cloud...

    Provided By INRIA

  • White Papers // Nov 2011

    Virtual Cloud: Rent Out the Rented Resources

    With the advent in cloud computing technologies, use of cloud computing infrastructure is increasing day by day and a lot of enterprises are shifting their computing from in-house infrastructure to the cloud infrastructure. Over a small period of time, it has substantiated to be an attractive choice for the enterprises....

    Provided By INRIA

  • White Papers // Apr 2011

    Hybrid Distributed Computing Infrastructure Experiments in Grid5000: Supporting QoS in Desktop Grids With Cloud Resources

    Hybrid Distributed Computing Infrastructures (DCIs) allow users to combine Grids, Desktop Grids, Clouds, etc. to obtain for their users even larger computing capabilities. In this paper, the authors present an experimental study of the SpeQuloS framework which aims at providing QoS to Desktop Grid by provisioning on-demand Cloud resources. They...

    Provided By INRIA

  • White Papers // Mar 2010

    Reducing Costs of Spot Instances Via Checkpointing in the Amazon Elastic Compute Cloud

    Recently introduced spot instances in the Amazon Elastic Compute Cloud (EC2) offer lower resource costs in exchange for reduced reliability; these instances can be revoked abruptly due to price and demand fluctuations. Mechanisms and tools that deal with the cost-reliability trade-offs under this schema are of great value for users...

    Provided By INRIA

  • White Papers // Apr 2010

    An Efficient Framework for Running Applications on Clusters, Grids and Clouds

    Since the appearance of the distributed computing technology, there has been a significant effort in designing and building the infrastructure needed to tackle the challenges raised by complex scientific applications, which require massive computational resources. This increases the awareness to harness the power and the flexibility of Clouds, which have...

    Provided By INRIA

  • White Papers // Mar 2014

    Evaluating Streaming Strategies for Event Processing across Infrastructure Clouds

    Infrastructure clouds revolutionized the way in which the authors approach resource procurement by providing an easy way to lease compute and storage resources on short notice, for a short amount of time, and on a pay-as-you-go basis. This new opportunity, however, introduces new performance trade-offs. Making the right choices in...

    Provided By INRIA

  • White Papers // Dec 2012

    Regenerating Codes: A System Perspective

    As cloud-based solutions for backup and sharing are being offered to users, the amount of storage needed for cloud services keeps increasing. In order to lower the costs (e.g., hardware, energy) for operating such systems, it is important to rely on efficient paradigms. Currently, many systems still rely on well-proven...

    Provided By INRIA

  • White Papers // Jul 2013

    CrystalGPU: Transparent and Efficient Utilization of GPU Power

    The explosion of the amount of data stored in cloud systems calls for more efficient paradigms for redundancy. While replication is widely used to ensure data availability, erasure correcting codes provide a much better trade-off between storage and availability. Regenerating codes are good candidates for they also offer low repair...

    Provided By INRIA

  • White Papers // May 2013

    Advanced Validation of the DVMS Approach to Fully Distributed VM Scheduling

    The holy grail for Infrastructure as a Service (IaaS) providers is to maximize the utilization of their infrastructure while ensuring the Quality of Service (QoS) for the virtual machines they host. Although the frameworks in charge of managing Virtual Machines (VM) on pools of physical ones (PM) have been significantly...

    Provided By INRIA

  • White Papers // Oct 2012

    Seed4C: A Cloud Security Infrastructure validated on Grid'5000

    The value of secure elements to protect software execution on a personal computer or on a server is not to be demonstrated. Nowadays, the emergence of cloud computing has led to a growing number of use case scenarios where one has to deal, not with a single computer but rather...

    Provided By INRIA

  • White Papers // Jun 2011

    PIGA-Virt: an Advanced Distributed MAC Protection of Virtual Systems

    Efficient mandatory access control of virtual machines remains an open problem for protecting efficiently cloud systems. For example, the MAC protection must allow some information flows between two virtual machines while preventing other information flows between those two machines. For solving these problems, the virtual environment must guarantee an in-depth...

    Provided By INRIA

  • White Papers // May 2013

    Performance Modeling for Power Consumption Reduction on SCC

    As power is becoming one of the biggest challenge in high performance computing, the authors are proposing a performance model on the Single-chip Cloud Computer in order to predict both power consumption and runtime of regular codes. This model takes into account the frequency at which the cores of the...

    Provided By INRIA

  • White Papers // Jul 2011

    Self-Healing Distributed Scheduling Platform

    Distributed systems require effective mechanisms to manage the reliable provisioning of computational resources from different and distributed providers. Moreover, the dynamic environment that affects the behavior of such systems and the complexity of these dynamics demand autonomous capabilities to ensure the behavior of distributed scheduling platforms and to achieve business...

    Provided By INRIA

  • White Papers // Jun 2009

    Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical Study of SETI@home

    In the age of cloud, Grid, P2P, and volunteer distributed computing, large-scale systems with tens of thousands of unreliable hosts are increasingly common. Invariably, these systems are composed of heterogeneous hosts whose individual availability often exhibit different statistical properties (for example stationary versus non-stationary behavior) and fit different models (for...

    Provided By INRIA