857 research outputs found
D-SPACE4Cloud: A Design Tool for Big Data Applications
The last years have seen a steep rise in data generation worldwide, with the
development and widespread adoption of several software projects targeting the
Big Data paradigm. Many companies currently engage in Big Data analytics as
part of their core business activities, nonetheless there are no tools and
techniques to support the design of the underlying hardware configuration
backing such systems. In particular, the focus in this report is set on Cloud
deployed clusters, which represent a cost-effective alternative to on premises
installations. We propose a novel tool implementing a battery of optimization
and prediction techniques integrated so as to efficiently assess several
alternative resource configurations, in order to determine the minimum cost
cluster deployment satisfying QoS constraints. Further, the experimental
campaign conducted on real systems shows the validity and relevance of the
proposed method
Toward sustainable data centers: a comprehensive energy management strategy
Data centers are major contributors to the emission of carbon dioxide to the atmosphere, and this contribution is expected to increase in the following years. This has encouraged the development of techniques to reduce the energy consumption and the environmental footprint of data centers. Whereas some of these techniques have succeeded to reduce the energy consumption of the hardware equipment of data centers (including IT, cooling, and power supply systems), we claim that sustainable data centers will be only possible if the problem is faced by means of a holistic approach that includes not only the aforementioned techniques but also intelligent and unifying solutions that enable a synergistic and energy-aware management of data centers.
In this paper, we propose a comprehensive strategy to reduce the carbon footprint of data centers that uses the energy as a driver of their management procedures. In addition, we present a holistic management architecture for sustainable data centers that implements the aforementioned strategy, and we propose design guidelines to accomplish each step of the proposed strategy, referring to related achievements and enumerating the main challenges that must be still solved.Peer ReviewedPostprint (author's final draft
Survey and Analysis of Production Distributed Computing Infrastructures
This report has two objectives. First, we describe a set of the production
distributed infrastructures currently available, so that the reader has a basic
understanding of them. This includes explaining why each infrastructure was
created and made available and how it has succeeded and failed. The set is not
complete, but we believe it is representative.
Second, we describe the infrastructures in terms of their use, which is a
combination of how they were designed to be used and how users have found ways
to use them. Applications are often designed and created with specific
infrastructures in mind, with both an appreciation of the existing capabilities
provided by those infrastructures and an anticipation of their future
capabilities. Here, the infrastructures we discuss were often designed and
created with specific applications in mind, or at least specific types of
applications. The reader should understand how the interplay between the
infrastructure providers and the users leads to such usages, which we call
usage modalities. These usage modalities are really abstractions that exist
between the infrastructures and the applications; they influence the
infrastructures by representing the applications, and they influence the ap-
plications by representing the infrastructures
An anti-malware product test orchestration solution for multiple pluggable environments
The term automation gets thrown around a lot these days in the software industry. However, the recent change in test automation in the software engineering process is driven by multiple factors such as environmental factors, both external and internal as well as industry-driven factors. Simply, what we all understand about automation is - the use of some technologies to operate a task. The choice of the right tools, be it in-house or any third-party software, can increase effectiveness, efficiency and coverage of the security product testing.
Often, test environments are maintained at various stages in the testing process. Developer’s test, dedicated test, integration test and pre-production or business readiness test are some common phrases in software testing. On the other hand, abstraction is often included between different architectural layers, ever-changing providers of virtualization platforms such as VMWare, OpenStack, AWS as test execution environments and many others with a different state of maintainability. As there is an obvious mismatch in configuration between development, testing and production environment; software testing process is often slow and tedious for many organizations due to the lack of collaboration between IT Operations and Software Development teams. Because of this, identifying and addressing test environmentrelated compatibility becomes a major concern for QA teams.
In this context, this thesis presents a DevOps approach and implementation method of an automated test execution solution named OneTA that can interact with multiple test environments including isolated malware test environments. The study was performed to identify a common way of preparing test environments in in-house and publicly available virtualization platforms where distributed tests can run on a regular basis. The current solution allows security product testing in multiple pluggable environments in a single setup utilizing the modern DevOps practice to result minimum efforts.
This thesis project was carried out in collaboration with F-Secure, a leading cyber security company in Finland. The project deals with the company’s internal environments for test execution. It explores the available infrastructures so that software development team can use this solution as a test execution tool
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