Cloud computing has become an important means to speed up computing. One problem influencing heavily the performance of such systems is the choice of nodes as servers responsible for executing the users' tasks. In this article we report how complex networks can be used to model such a problem. More specifically, we investigate the performance of the processing respectively to cloud systems underlain by Erdos-Renyi and Barabasi-Albert topology containing two servers. Cloud networks involving two communities not necessarily of the same size are also considered in our analysis. The performance of each configuration is quantified in terms of two indices: the cost of communication between the user and the nearest server, and the balance of the distribution of tasks between the two servers. Regarding the latter index, the ER topology provides better performance than the BA case for smaller average degrees and opposite behavior for larger average degrees. With respect to the cost, smaller values are found in the BA topology irrespective of the average degree. In addition, we also verified that it is easier to find good servers in the ER than in BA. Surprisingly, balance and cost are not too much affected by the presence of communities. However, for a well-defined community network, we found that it is important to assign each server to a different community so as to achieve better performance.
CMS has signaled a renewed focus on interoperability, a welcome development for healthcare professionals anxious to more easily exchange insightful data. But there’s still the matter of how well the people involved in various collaborative “Big Data in Healthcare” initiatives operate together.
At some point for most of us in our careers – usually early on – we’ve encountered a project that was initially heralded with a great deal of fanfare, only to ultimately fizzle out after failing to gain enough buy-in. For all the excitement surrounding Big Data projects, many are at similar risk of a premature end if stakeholder concerns aren’t addressed at the outset:
Who will host the data?How will data privacy concerns be handled?How have restrictions on data use been addressed?Do existing consents allow for data sharing?Will the data need to be de-identified? If so, using which methodology?Who will be responsible for acquiring, maintaining and distributing it?How will the data be protected as it’s routed to its new home?How well will it be protected in its new home? Who will have access to it?
For this to work, a neutral ground is usually needed, offered by a trusted third party.
The cloud: breaking down barriers to data exchange In healthcare, massive amounts of data are not stored in pre-defined, structured tables. Instead, they are often composed of text, notes, numbers, images, formulas, dates, and other facts that are inherently unstructured. In fact, certain kinds of data sources are being created so quickly that there is no time to store it before the need to analyze it.
Savvy healthcare executives see Big Data as an opportunity to break down the paradigm of siloed data. They know that isolated data can be inefficient. Yet even while supporting the vision of Big Data, many healthcare leaders are traditionally reluctant to share data outside their own firewalls. Due to competitive considerations and confidentiality risks, there must be a level of trust in the quality and security of the receiving organization’s health data management systems for the data owner to be willing to share it. No one wants to risk a HIPAA privacy or security violation at the hands of another entity.
'Dirty' data can yield hidden treasures To make an effective Big Data play, data sharing arrangements must be made, data flows defined, data analytics engines and the underlying infrastructure created, and the proper data governance must be agreed upon by all relevant stakeholders. It is at this stage that a trusted third party data warehouse environment is critical for success.
Conventional wisdom leads many to believe that data must be scrubbed, normalized and aggregated into a standard format in order to gain key insights. In fact, for Big Data in Healthcare, the time-tested principle of “garbage in, garbage out” actually may not apply.
Using the right data analytics tools can reveal unexpected insights from unstructured or “dirty” data as some call it.
In addition to enabling insights from disparate data sources, storing and protecting data, data management services are now available that alleviate the need for healthcare organizations to hire additional experts in meaningful use or cloud technology, including:
Pulling data from different sources into a single cloud-based repository for collaborative useDe-identifying the data and stripping it of identifiable informationData visualization with dashboards and reportsAudit trails of who accessed what, when and from whereDynamically scaling the infrastructure as the data volume increases
Cloud for collaborative care Entities that are members of an accountable care organization or other coordinated care programs also benefit from the neutrality of the cloud for a variety of functions, from the day-to-day, such as claims and billing, to more analytic reporting and collaboration. The cloud provider can host the data along with any other number of data management services that the healthcare organization can’t, or just doesn’t want to take on.
Can you blame them? Healthcare organizations need all of their IT staff on deck for analytics and other data projects. And as we move to a more coordinated and shared model for healthcare, all stakeholders need a neutral and trusted environment that fosters collaboration. And based on the potential for infinite computing power and storage on the cloud, the sky’s the limit for interoperability.
Node.js has great community support, there are more than sixty thousands of modules written and many frameworks available to be used. Here we have chosen 29 best Node.js frameworks to speed up your web application development by providing robust set of features and also enhance the ease of programming with MVC programming pattern.
NEW YORK, March 19, 2015 /PRNewswire/ -- Smartling today announced that Director of Client Success Elizabeth Quispe will present on agile translation at the 2015 Intelligent Content Conference, which will be held March 23-25 in San Francisco. The annual Intelligent Content Conference gathers the best and brightest content professionals to discuss the topics, standards, methods and technologies utilized today to enable intelligent content solutions.
On March 24, Quispe will deliver a session entitled "From Agile Marketing to Agile Translation: How to Achieve Nimble and Scalable Multilingual Content Creation." Quispe will address which translation approaches make the most sense for agile translation, best practices for incorporating "translation iteration planning" into the multilingual content creation process, and which types of content are best for agile translation. Attendees will also learn the characteristics needed to make agile translation a success within their organization.
Who: Elizabeth Quispe, director of client success at Smartling
What: "From Agile Marketing to Agile Translation: How to Achieve Nimble and Scalable Multilingual Content Creation" session
Smartling, Inc. simplifies and accelerates translation and localization for companies reaching a global market. With the first cloud-based enterprise platform for translation management, Smartling helps companies quickly translate and deploy their websites and dynamic Web applications, mobile applications and business documents across the entire corporate digital infrastructure. Named "Most Innovative Startup" at Dow Jones/Wall Street Journal's 2011 FASTech 50, Smartling is shaking up the translation and localization industry with the first platform designed to manage the entire translation, localization and delivery process via a scalable SaaS model. Brands that rely on Smartling to launch and manage localized multilingual websites and applications include Foursquare, GoPro, HotelTonight, Path, Pinterest, Shutterstock, Spotify, SurveyMonkey, Vimeo and more. The Smartling platform currently serves billions of page views per month in more than 100 languages across the globe.
Founded in 2009 and headquartered in New York City, Smartling is privately held and backed by leading venture capital firms, including First Round Capital, Harmony Partners, ICONIQ Capital, IDG Ventures, U.S. Venture Partners, Venrock and several prominent angel investors.
Media Contact: Jackie Gerbus Davies Murphy Group 508-479-2786 email@example.com
There is no denying that Magento is an ideal platform for building ecommerce websites, as it comes with an astounding number of options that can help your online business do extremely well. But inspite of all of its capabilities, you can’t create a blog as this ecommerce...For more details visit: http://tinyurl.com/n3wkpe7
If you’re a web developer who wants to release their work on iOS and Android (while harnessing the features of those platforms), you don’t have to learn a new language or entirely new concepts. You just need a basic grasp of Meteor, and then a basic grasp of details specific to mobile development.
SAS Curriculum Pathways has released a new handbook called Mobile Learning: A Handbook for Developers, Educators and Learners. The handbook includes practical tips on creating applications for education, and highlights opportunities for collaboration between educational technology providers and educators. It also advises parents and educators on how best to use mobile learning resources in class and at home.
API (Application Programming Interface). Developer Experience (DX). You may or may not have heard of these terms before, but they are heavily used in the SaaS (software-as-a-service) industry. Developers use APIs to build off existing products and innovate new ideas. APIs allow companies to easily integrate with apps that bring in expertise where the company themselves may be lacking resources or would be costly to produce in-house.
Sometimes the thought of setting up Google Analytics can seem a little daunting,, especially if you are not familiar with the process. The purpose of this article will be to explain in as much detail as possible, how you can improve your ecommerce website by setting up Google Analytics.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
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Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
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