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Transformation Network
The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…
Essential Characteristics of Cloud Computing as Digital Transformation
Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…
Transformation Innovation
4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following: Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…
Transformation Frameworks
Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…
Transformation Infrastructure
Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…
Essential Characteristics of Cloud Computing as Digital Transformation
A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value: Accelerating speed to market Strengthening competitive positioning Boosting revenue growth Raising…
Embrace Transformation
From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…
Computer Vision Advances Zero-Defect Manufacturing
by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…
Real-Time Analytics Power the Roadway of the Future
By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…
Thriving on the Edge: Developing CSP Edge Computing Strategy
Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…
A few days ago I received a call from a small business owner asking if I would meet him for coffee. He wanted to run some ideas past me on how he could enhance his current business with cloud computing. This is the sort of request that I can never turn down so we quickly made an appointment for the next day. After exchanging pleasantries and settling down with our lattes, he started to give me an overview of his current business.
- True Cloud Service Providers build and offer scalable, redundant and elastic resources to the marketplace. In other words, you build it before they come;
- Cloud services aren’t built to specification based on a RFP. A CSP provides standardized offerings with standardized SLA built on an infrastructure the CSP designs;
- The cloud computing economic model is built on over-subscription of the CSP’s available services across a large marketplace, not on individual long-term contracts.
- On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
- Broad network access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops and workstations).
- Resource pooling: The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state or datacenter). Examples of resources include storage, processing, memory and network bandwidth.
- Rapid elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
- Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth and active user accounts). Resource usage can be monitored, controlled and reported, providing transparency for the provider and consumer.
(This post was written as part of the Dell Insight Partners program, which provides news and analysis about the evolving world of tech. To learn more about tech news and analysis visit Tech Page One. Dell sponsored this article, but the opinions are our own and don’t necessarily represent Dell’s positions or strategies.)
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2012)
Cloud Computing
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