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Advances In Communication, Cloud, And Big Data _TOP_

Today, cloud-based services and applications are ubiquitous in many systems. The cloud provides undeniable potential benefits to the users by offering lower costs and simpler deployment. The users significantly reduce their system management responsibilities by outsourcing services to the cloud service providers. However, the management shift has posed significant security challenges to the cloud service providers. Security concerns are the main reasons that delay organizations from moving to the cloud. The security and efficiency of user identity management and access control in the cloud needs to be well addressed to realize the power of the cloud. In this chapter, the authors identify the key challenges and provide solutions to the authentication and identity management for secure cloud business and services. The authors first identify and discuss the challenges and requirements of the authentication and identity management system in the cloud. Several prevailing industry standards and protocols for authentication and access control in cloud environments are provided and discussed. The authors then present and discuss the latest advances in authentication and identity management in cloud, especially for mobile cloud computing and identity as a service. They further discuss how proximity-based access control can be applied for an effective and fine-grained data access control in the cloud.

Advances in Communication, Cloud, and Big Data

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Early big data systems were mostly deployed on premises, particularly in large organizations that collected, organized and analyzed massive amounts of data. But cloud platform vendors, such as Amazon Web Services (AWS), Google and Microsoft, have made it easier to set up and manage Hadoop clusters in the cloud. The same goes for Hadoop suppliers such as Cloudera, which supports the distribution of the big data framework on the AWS, Google and Microsoft Azure clouds. Users can now spin up clusters in the cloud, run them for as long as they need and then take them offline with usage-based pricing that doesn't require ongoing software licenses.

The separation between e-commerce and brick and mortar retail will blur as digital and physical shopping experiences become one in the same. Augmented reality will give consumers the ability to try on and order clothes from the comfort of their homes, but physical stores with reduced footprints will feature unique consumer experiences, immediate purchases, and try-before-you-buy optionality. Coupled with IoT technologies that track consumer behavior and build datasets around it, and advances in AI, retailers could be able to predict consumer behavior at almost 100% accuracy. We also expect to see e-commerce as a value add for small and mid-sized businesses, providing a medium for them to sell products outside of their locality and giving a means of accessing global consumer-bases.

To develop a healthcare system based on big data that can exchange big data and provides us with trustworthy, timely, and meaningful information, we need to overcome every challenge mentioned above. Overcoming these challenges would require investment in terms of time, funding, and commitment. However, like other technological advances, the success of these ambitious steps would apparently ease the present burdens on healthcare especially in terms of costs. It is believed that the implementation of big data analytics by healthcare organizations might lead to a saving of over 25% in annual costs in the coming years. Better diagnosis and disease predictions by big data analytics can enable cost reduction by decreasing the hospital readmission rate. The healthcare firms do not understand the variables responsible for readmissions well enough. It would be easier for healthcare organizations to improve their protocols for dealing with patients and prevent readmission by determining these relationships well. Big data analytics can also help in optimizing staffing, forecasting operating room demands, streamlining patient care, and improving the pharmaceutical supply chain. All of these factors will lead to an ultimate reduction in the healthcare costs by the organizations.

Another important technology of this decade is IoT (the internet of things). With advances in cloud computing and real-time data analytics, it is always changing. M2M communication and data sharing are two processes that happen at the same time. With cloud computing, all of this is easy to handle.

If cloud computing continues to evolve at its current rate or faster, the demand for hardware will minimize. Virtualization, cloud computing, and virtual machines (VMs) will be used for most operations and business processes. As a result of this advancement, the expenses of setting up physical infrastructure and software installations will be greatly reduced, resulting in lower hardware utility. Furthermore, as cloud computing advances, data analysis and interpretation will become completely automated and virtualized, eliminating the need for human intervention.

Over the coming decades, digital technologies are set to make energy systems around the world more connected, intelligent, efficient, reliable and sustainable. Stunning advances in data, analytics and connectivity are enabling a range of new digital applications such as smart appliances, shared mobility, and 3D printing. Digitalised energy systems in the future may be able to identify who needs energy and deliver it at the right time, in the right place and at the lowest cost. But getting everything right will not be easy.

Across all transport modes, digital technologies are helping to improve energy efficiency and reduce maintenance costs. In aviation, the latest commercial aircraft are equipped with thousands of sensors, generating almost a terabyte of data on an average flight. Big data analytics optimise route planning and can help pilots make in-flight decisions and reduce fuel use. Ships are also being equipped with more sensors, helping crew take actions to optimise routes, while advances in satellite communications are enabling greater connectivity.

Many of these experts have high hopes for continued incremental advances across all aspects of health care and life extension. They predict a rise in access to various tools, including digital agents that can perform rudimentary exams with no need to visit a clinic, a reduction in medical errors and better, faster recognition of risks and solutions. They also worry over the potential for a widening health care divide between those who can afford cutting-edge tools and treatments and those less privileged. They also express concerns about the potential for data abuses such as the denial of insurance or coverage or benefits for select people or procedures.

Changes in technology have affected nearly every aspect of our personal and professional life; however, the most prevalent changes are likely in communication. The way that we communicate is constantly evolving, and it is presently being pushed forward by technological advances. When researching the changes that technology has delivered to communication, the focus is often on personal experiences. This is certainly not the full picture. Technology has made significant, permanent changes to how businesses communicate, both internally and externally. The following are just a few of the ways that business communication has changed recently due to technology.

While traditional onsite CRM software has their merits, cloud technology takes CRM to a whole new level by freeing up employees from onsite computers and servers. When CRM data is stored in the cloud, it can be accessed directly from anywhere and at anytime.

Europe has significantly boosted the adoption of advanced communication, network solution, electronic devices, social media, connected devices, and more. The extensively growing data in the region is likely to surge the demand for analytics tools. As per the European Parliament report, data analytics practices in Europe are expected to boost industries' productivity.

Hewlett Packard Enterprise is a global technology leader focused on developing intelligent solutions that allow customers to capture, analyze, and act upon data seamlessly from edge to cloud. HPE enables customers to accelerate business outcomes by driving new business models, creating new customer and employee experiences, and increasing operational efficiency today and into the future. Forward-Looking Statement Information set forth in this communication, including statements as to Hewlett Packard Enterprise's outlook and financial estimates and statements as to the expected timing, completion, and effects of the transaction between Hewlett Packard Enterprise and MapR, constitute forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995.

Many organizations are moving data to the cloud to facilitate easier sharing and collaboration. However, when data moves to the cloud, it is more difficult to control and prevent data loss. Users access data from personal devices and over unsecured networks. It is all too easy to share a file with unauthorized parties, either accidentally or maliciously.

A private cloud can be done in a hosted data center or, more often, in virtual individual cloud instances, which are not on-premises. Likewise, the hybrid cloud does not require that the individual components of the hybrid are in any specific location. However, with the advent of distributed cloud, location formally enters the definition of a style of cloud services.

Posted in: Internet Of ThingsTags: big data and cloud computing, big data iot and the cloud, how are big data and cloud data related, iot and cloud computing, relation between iot and big data, relationship between iot 041b061a72


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