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Recent Contributions

Keywords:business intelligence, data warehousing, business economics,
analytic databases
Authors: Omer Trajman, Vertica Systems, Inc.
Abstract:
Cloud computing based on Amazon’s or Google’s hardware infrastructure, offers data warehousing practitioners a new deployment option that brings unlimited scalability without traditional center overhead and budget constraints. This session will explain how companies are leveraging the cloud and cloud databases to change the economics of business intelligence and data warehousing.

Attendees will learn:

-A comparison of different cloud database architectures and which ones are best suited for data warehousing;
-Best practices for starting, loading and accessing cloud-based analytic databases;
-How data security, backup, database scalability and other admin tasks are performed;
-How cloud computing is changing the economics of BI via case studies.

Keywords:virtual clouds, cloud marketplace, business process optimization, business analytics, high performance analytics
Authors: Theodore Omtzigt, Stillwater Supercomputing, Inc.
Abstract:
Complex workloads such as knowledge discovery, data mining, and business analytics go through different bottlenecks during their execution. These workloads can become database or file system bound, compute or memory bound, or network bound. Each bottleneck has different cost and performance attributes among the different cloud providers. For example, Amazon EC2 charges for incoming bandwidth, whereas GoGrid does not. This creates an opportunity to generate business value by finding the cheapest cloud provider to deliver a particular business service on. Furthermore, when such workloads are deployed in public or private clouds the value provided by a service that can seamlessly move these services around is greatly increased. The Stillwater Virtual Cloud Platform ™ virtualizes private and public clouds so that they are dynamically interchangeable. By enabling dynamic service selection, the Stillwater Virtual Cloud Platform enables a marketplace that finds the cheapest resource to execute these high-value business analytical services on, and directly passes these savings on to the customer.

Keywords:open source, saas, free software, gpl, cloud computing
Authors: Krishnan Subramanian, Krishworld.com.
Abstract:
There is an opinion that open source has no relevance in the SaaS based world. In this paper, we counter that opinion with strong arguments supporting the need to have open source in the middle of SaaS ecosusystem. We argue that along with open standards and data portability, open source is vital for the success of SaaS. We propose a SaaS ecosystem with open source as the main feature and offer various scenarios highlighting its importance. This paper will try to counter the talk about irrelevance of open source in the SaaS world as well as some myths about SaaS present among the proponents of open and free software.

Keywords:business continuity, SLAs, disaster recovery, platform
Authors: Omer Trajman, Vertica Systems, Inc.
Abstract:
Business continuity planning (BCP) is an expensive yet a necessary exercise for many IT organizations. Since planning for fully redundant service availability in case of outages is economically impractical, IT spends hours optimizing machine utilization around upgrades and maintenance. For unplanned outages, IT must establish replication for critical systems and monitor them for consistency and data accuracy. Since BCP for existing mission critical applications take precedence over new demands, the costs of managing IT can be overwhelming. The cloud offers a cost effective platform for handling disruptive events – both planned and unplanned.

This session will discuss how to deploy cloud computing effectively and securely to balance new business requirements with existing SLA demands. Attendees will learn how to take advantage of the flexibility offered by cloud computing to increase utilization of their existing investments and maintain data security.

Keywords:security, policy, data security
Authors: Omer Trajman, Vertica Systems, Inc.
Abstract:
For all the Cloud’s benefits there are new considerations when it comes to application deployment and data security outside of the enterprise. When data is stored on your premises, access is strictly managed and guarded, and often the concern is securing your machines from external unauthorized access. Out in the cloud everything is networked and accessible, which requires a different approach. As the cloud matures, IT is developing the policies and best practices for securing data and access to cloud computing resources.

Learn about security policy in the cloud and explore the tools and technologies available today that give you the kind of control over security that you are used to having within the enterprise. We’ll discuss the role that firewalls, VPNs, encryption, and virtual root play and what assurances you need to get from your cloud provider before clicking “upload.”

Keywords: cloud computing standards, cloud computing interoperability, reference implementations
Authors: Robert Grossman, Open Cloud Consortium.
Abstract:
The Open Cloud Consortium (www.opencloudconsortium.org) is a new
not-for-profit consortium that 1) supports the development of
standards for cloud computing and frameworks for interoperating
between clouds; 2) supports the development of benchmarks for cloud
computing; 3) supports open source software for cloud computing; 4)
manages a testbed for cloud computing called the Open Cloud Testbed;
and, 5) sponsors workshops and other events related to cloud
computing.

In this talk, we give an introduction to the Open Cloud Consortium and
describe some of its working groups and current activities.

Keywords: cloud storage, distributed, massively scalable, ubiquitous access, universal file storage
Authors: Philippe Nicolas, KerStor(France).
Abstract:
Cloud Computing radically changes how data is accessed, stored, protected or archived. With the data explosion, people are looking for new innovative storage approach to address their current and near future issues for storing online data. This presentation will cover data storage challenges especially with "external" location and how the industry and the open source community introduce some real innovations in file storage with massive distributed and ubiquitous technologies.

Keywords: cloud storage, distributed, massively scalable, ubiquitous access, universal file storage
Authors: Philippe Nicolas, KerStor.
Abstract:
Clearly the biggest IT buzzword in the industry today, Cloud term is now used everywhere and sometimes overeused. In fact, Cloud Computing and Storage try to address Data Center and IT key pain points such as Complexity, Cost, Compliance, Obsolescence and Performance representing the ultimate evolution of Utility Computing and IT on Demand leveraging Internet. This presentation will introduce, define and describe Could Storage with use cases to illustrate some Cloud applications such as online data serving, offsite data protection, archive and vaulting or the clear apparition of a new tier of storage.

Keywords: virtualization, data center, cloud computing, dynamic infrastructure, infrastructure
Authors: Lori MacVittie, F5 Networks.
Abstract:
It’s been called Dynamic Infrastructure and Infrastructure 2.0. It’s been confused with IaaS (Infrastructure as a Service). But it's not "the cloud" nor is it a service in the sense most understand the word. It is a foundational set of concepts and capabilities upon which emerging data center models taking advantage of virtualization and cloud computing must be based in order for organizations to realize the technical and financial benefits of these new deployment architectures. This session will focus on what dynamic infrastructure is, how it relates to existing and emerging infrastructure, and how it will enable emerging data center models to become reality.

Keywords: testing, automation, amazon, deployment, saas
Authors: Marc-Elian Bégin and Charles Loomis, SixSq Sàrl(Switzerland).
Abstract:
The ultimate goals of any software-testing regime are to make the software more robust and reliable, thereby reducing development and support costs and increasing customer satisfaction. Recent trends to use unit testing and other techniques, such as continuous integration, in the software build process help reach those goals. However with the move towards systems of interacting services, full-scale system tests are critical, yet are rarely done as systematically or completely as unit tests because of the large manual effort required to deploy a full-scale system and run the tests.

A couple technical advances have made automation of full-scale system tests possible. First, the advent of commercial cloud computing services, such as Amazon Web Services (AWS), provides a convenient, dynamic backend infrastructure avoiding the need to interact directly with system administrators for machine deployment. Second, working prototypes from the ETICS project have shown the feasibility and benefit of capturing deployment and test information in order to automatically deploy services in grid environments and execute system tests.

SixSq is developing SlipStream™ a framework for the automatic deployment and testing of n-tier and distributed software systems. The framework makes extensive use of cloud computing technologies, and more specifically AWS, to provide dynamic near-production environments for realistic tests of distributed systems. Using the dynamic pool of resources that clouds provide allows the automatic, low-cost deployment of test configurations. This means software projects don’t have to procure, deploy and maintain their own test infrastructure, but can use a pay-as-you-go cloud model instead. Software-as-a-Service (SaaS) in this context means that users have a fully available test infrastructure from day one, without upfront investments required.

While the benefit of having the ability to assert, in a continuous integration fashion, the releasability of one’s software into production is significant, in-cloud deployment of n-tier architecture systems also brings its challenges. From dynamic ip address allocation to parametric deployment topologies, in-cloud deployment can have a significant and positive impact on the way software systems are deployed, not only for system testing but also for production.

We presented on this topic at the Google Test Automation Conference (GTAC) 2008 in Seattle in October. While our GTAC presentation was focused on background work and lessons learned from prior projects, such as ETICS and EGEE, in this presentation we present our experience from the SlipStream™ alpha testing phase. This presentation will also include a range of use-cases and issues in deployment and test of services using the AWS cloud, as well as future directions.

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Cloud Computing Conference