Organizations have increasingly set their sights on edge computing as a solution to their data storage needs. According to a survey from Forrester Analytics Global Business Technographics® Mobility, 57% of mobility decision-makers want to incorporate edge computing into their plans by the end of 2020. Because it uses a number of smart devices around the […]
Tag Archives | cloud computing
Cloud computing has been a top IT trend since 2006. Cloud technology will only continue to grow as more organizations utilize cloud services. What trends are in store for this year? Hybrid Clouds Hybrid clouds allow workloads to move among third-party, public, and private cloud providers. Because private clouds can easily transfer data to the […]
By utilizing multi-cloud systems, organizations are able to run their systems and store data across various cloud providers. According to the IBM Institute for Business Value, 85% of companies are currently using a multi-cloud system to manage their information. While the multi-cloud has its advantages, it also creates specific challenges that organizations need to take […]
Cloud security threats come in many different forms including data breaches, hijacked accounts, data loss, denial of service, and system vulnerabilities. As organizations and individuals continue to adopt the cloud, securing all of the stored information is a top priority. Companies must be aware of the risks and solutions in order to prevent serious damage. […]
Although the use of cloud computing has increased fivefold since 2014, only 20% of workloads are run in the public cloud. Because housing workloads in a cloud network provides location-independent access, it’s expected that more companies will migrate to the cloud. Nominet, a cyber security company, reports that 88% of surveyed organizations were either currently […]
Depending on how many of the 30 billion Internet of Things (IoT) devices forecast for global deployment by 2020 rely on the cloud, managing the deluge of IoT-generated data makes proper processing seem near impossible. Traditional cloud computing has serious disadvantages, including data security threats, performance issues, and growing operational costs. Because most data saved […]
Edge computing allows smart applications and devices to respond to data almost instantaneously, as it’s being created, eliminating lag time, which is critical for technologies like self-driving cars. Learn about this transformative concept in cloud computing and how it will impact technologies far and wide from some of the leading voices in the field.
Mahadev Satyanarayanan (Satya) is an experimental computer scientist, a founding pioneer in edge computing, mobile computing, pervasive computing, and Internet of Things. He is the Carnegie Group Professor of Computer Science at Carnegie Mellon University (CMU). He is an ACM and IEEE fellow. In his research career, Satya has focused on the performance, scalability, availability and trust challenges in computing systems that reach from the cloud to the mobile edge of the Internet. He has pioneered many advances in edge computing, distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT).
Dr. Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory, Connected and Autonomous Driving Laboratory. He is an IEEE Fellow and a Distinguished Scientist of ACM. He was the founding steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC), the author of the first Edge Computing book.
Edge computing is a distributed, open IT architecture that features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center. Allowing large amounts of data to be processed […]
As Internet of Things (IoT) devices proliferate, so does the data that they produce. As more and more data is produced, organizations are finding it to be a costly endeavor to send, process, and store all of this data in the cloud. In fact, some organizations don’t even have the connectivity within their infrastructure to […]