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Movements, leaders, victories and the continuing fight for equality.
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In 1968 Shirley Chisholm became the first Black woman elected to the United States Congress. In 1972 she launched a campaign for the Democratic presidential nomination, breaking another political barrier.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
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Software-defined data center (SDDC; also: virtual data center, VDC) is a marketing term that extends virtualization concepts such as abstraction, pooling, and automation to all data center resources and services to achieve IT as a service (ITaaS).[1] In a software-defined data center, "all elements of the infrastructure—networking, storage, CPU and security—are virtualized and delivered as a service."[2]
SDDC support can be claimed by a wide variety of approaches. Critics see the software-defined data center as a marketing tool and "software-defined hype," noting this variability.[3]
In 2013, analysts were divided into three different groups,[3] those who think it is "just another software-defined hype", those who think most of the components are already available and those who see a potential future market. There was no unified agreement about the direction of SDDC. For some areas like the software-defined networking a market value of about US$3.7 billion by 2016 was expected, compared to US$360 million in 2013.[3] (software-defined networking was expected to reach US$18.5 billion in 2022[4]) IDC estimates that the software-defined storage market is poised to expand faster than any other storage market.[3]
The software-defined data center encompasses a variety of concepts and data-center infrastructure components, with each component potentially provisioned, operated, and managed through an application programming interface (API).[5] Core architectural components that comprise the software-defined data center[6] include the following:
A software-defined data center differs from a private cloud, since a private cloud only has to offer virtual-machine self-service,[9] beneath which it could use traditional provisioning and management. Instead, SDDC concepts imagine a data center that can encompass private, public, and hybrid clouds.[10]
Data centers traditionally lacked the capacity to accommodate total virtualization.[11] By 2013, companies began laying the foundation for software-defined data centers with virtualization.[3] Ben Cherian of Midokura considered Amazon Web Services as a catalyst for the move toward software-defined data centers because it "convinced the world that the data center could be abstracted into much smaller units and could be treated as disposable pieces of technology, which in turn could be priced as a utility."[5]
In 2013, the software-defined data center term was promoted as a paradigm shift.[5][12] According to Steve Herrod, the promise of the software-defined data center was that companies would no longer need to rely on specialized hardware or hire consultants to install and program hardware in its specialized language.[13] Rather, IT would define applications and all of the resources they require—including compute, storage, networking, security, and availability—and group all of the required components to create a “logical application.”[13]
Commonly cited benefits of software-defined data centers include improved efficiency[14] from extending virtualization throughout the data center; increased agility[15] from provisioning applications quickly; improved control[15] over application availability and security through policy-based governance; and the flexibility[14][15] to run new and existing applications in multiple platforms and clouds.
In addition, a software-defined data center implementation could reduce a company's energy usage by enabling servers and other data center hardware to run at decreased power levels or be turned off.[15] Some believe that software-defined data centers improve security by giving organizations more control over their hosted data and security levels, compared to security provided by hosted-cloud providers.[15]
The software-defined data center was marketed to drive down prices for data center hardware and challenge traditional hardware vendors to develop new ways to differentiate their products through software and services.[16]
The concepts of software-defined in general, and software-defined data centers in particular, have been dismissed by some as “nonsense,” “marketecture,” and “software-defined hype.”[3] Some critics believe that only a minority of companies with “completely homogeneous IT systems’” already in place, such as Yahoo! and Google, can transition to software-defined data centers.[3]
According to some observers, software-defined data centers won’t necessarily eliminate challenges that relate to handling the differences between development and production environments; managing a mix of legacy and new applications; or delivering service-level agreements (SLAs).[3]
At the same time, adopting an SDDC is not just a technology shift, it also requires changes in the way IT teams work together. Many organizations still operate in separate departments with their own processes, which can make standardization difficult during implementation.[17]
Software-defined networking was seen as essential to the software-defined data center, but it is also considered to be the “least mature technology” required to enable the software-defined data center.[11] However, several companies, including Arista Networks, Cisco, Microsoft and VMware, market products to enable virtual networks that are provisioned, extended, and moved across existing physical networks.[11]
Several competing network virtualization standards already existed by 2012.[11] Neutron, the networking component of the open-source software OpenStack project, provides an application-level abstraction of network resources and includes an interface for configuring virtual switches.[11][18]
The software-defined data center approach will force IT organizations to adapt. Software-defined environments require rethinking many IT processes—including automation, metering, and billing—and executing service delivery, service activation, and service assurance.[15] A widespread transition to the SDDC could take years.[6]
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
Software-defined data center (SDDC; also: virtual data center, VDC) is a marketing term that extends virtualization concepts such as abstraction, pooling, and automation to all data center resources and services to achieve IT as a service (ITaaS). In a software-defined data center, "all elements of the infrastructure—networking, storage, CPU and security—are virtualized and delivered as a service." SDDC support can be claimed by a wide variety of approaches. Critics see the software-defined data center as a marketing tool and "software-defined hype," noting this variability. In 2013, analysts were divided into three different groups, those who think it is "just another software-defined hype", those who think most of the components are already available and those who see a potential future market. There was no unified agreement about the direction of SDDC. For some areas like the software-defined networking a market value of about US$3.7 billion by 2016 was expected, compared to US$360 million in 2013. (software-defined networking was expected to reach US$18.5 billion in 2022) IDC estimates that the software-defined storage market is poised to expand faster than any other storage market.
Software-defined may refer to: GNSS software-defined receiver Software-defined data center Software-defined infrastructure Software-defined mobile network Software-defined networking Software-defined perimeter Software-defined protection Software-defined radio List of software-defined radios Software-defined storage
SDDC may stand for: China Village Electrification Program (Song Dian Dao Cun) Single-device data correction Software-defined data center Surface Deployment and Distribution Command ShutdownDC, an activist group from Washington, DC
HP ConvergedSystem is a portfolio of system-based products from Hewlett-Packard (HP) that integrates preconfigured IT components into systems for virtualization, cloud computing, big data, collaboration, converged management, and client virtualization. Composed of servers, storage, networking, and integrated software and services, the systems are designed to address the cost and complexity of data center operations and maintenance by pulling the IT components together into a single resource pool so they are easier to manage and faster to deploy. Where previously it would take three to six months from the time of order to get a system up and running, it now reportedly takes as few as 20 days with the HP ConvergedSystem. HP ConvergedSystem uses a common Converged infrastructure architecture, the same common foundation used for all HP server, storage, and networking products. HP Converged Infrastructure pools resources so that they can be shared across different applications while being managed from a standardized management platform and security software. The convergence of server, storage, and networking can help user organizations save investment on equipment maintenance and management. HP Converged Systems includes HP ConvergedSystem for Virtualization, for developing and managing virtualized environments; HP CloudSystem, for building and managing cloud computing services across private, public and hybrid clouds; HP ConvergedSystem for Big Data, for loading, analyzing and managing vast quantities of data; HP ConvergedSystem for Collaboration, for configuration and deployment of Microsoft unified communications software; HP OneView for converged infrastructure management; and HP ConvergedSystem for Client Virtualization, for running Virtual desktop infrastructure. HP CloudSystem is an integrated cloud infrastructure for delivering private, public, and hybrid cloud services. It integrates HP cloud software with HP servers, storage, and networking technologies into a single system. The HP OneView converged infrastructure management product provides a unified interface that lets users automate formerly labor-intensive manual Data center management and maintenance tasks, as part of a Software-defined data center.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Brown v. Board of Education in 1954.
