IBM has received two patents in the United States to accelerate the data analysis in the cloud and make better use of existing cloud resources. The rights are named “Predictive Removal Of Runtime Data Using Attributes Characterizing” (US Patent # 8,639,809) and “Routing Service Requests Based on Actual Lowest cost within a Federated Virtual Service Cloud” (US Patent # 8,676,981 B2).
The first patent optimized using real-time analytics to access and control of analytical tasks in a cloud environment. This is intended to run applications more efficiently in the future. Using real-time analysis of access and control of analytical tasks in a cloud environment can be optimized so that applications can run more efficiently in the future.
The IBM invention “Predictive Removal Of Runtime Data Using Attributes Characterizing,” (US Patent # 8,639,809) supports both cloud and traditional IT environments, analyzed and prioritized to reduce inefficiencies and latency in processing data from different sources.
IBM says cloud delivery models are evolving and maturing and are creating new possibilities for end-users and third-party service providers to lower costs for IT deployments as they enter new markets and create new solutions The patented invention will give users more control over their cloud deployments so that they can extract the most value from their IT resources at the most optimal cost.
Processing data in a cloud is similar to managing checkout lines at a store—if you have one simple item to purchase, an express lane is preferable to waiting in line behind someone with a more complicated order, said IBM Inventor Michael Branson, who co-invented the patented technique with John Santosuosso. Cloud customers don’t want data that can be analyzed and dealt with simply to sit idle behind data that needs more complex analysis. Applying real-time analytics in a cloud can help ensure each piece of data gets the proper attention in a timely manner.
The patented technology analyzes the relevant data in real time. It does not matter whether it is a simple online transactions, sensor or financial data or video streams. The software categorizes the data packets by which compares the current data pattern from earlier, slowing the system processing cycles. Then the cloud environment automatically channeled the data packets to ensure a timely and efficient analysis. Thus, the solution is built almost a fast lane for non-complex analysis queries. The processing of time-consuming and problematic requests uses other resources.
The patented cloud technology can be used in several real time applications including sensor-based tolling of roads, where the signs must be collected for toll calculation and pollution degree requires a different length analysis; to identify and separate analysis of suspicious data packets that enter the network; and the analysis and processing of low-quality audio from call centers as their evaluation need more resources and time.
The second patent allows using analytical technologies to improve the performance of cloud environments while reducing their costs. The technology automatically collects resources from one or more data center of a cloud, in order to ensure its efficient and effective use. Users must now invest less time to apply for resources and to orchestrate without also giving up control over how and where their cloud workloads to be processed.
Large cloud providers such as IBM operate global networks with numerous data centers, to provide customers with appropriate services in their country under the regulations. The above mentioned patents help to control the local and global data centers better performance into the appropriate application to enhance and improve the latency of each cloud environments. The technology can also be used by so-called Managed Service Providers (MSP) or channel resellers that leverage the third party cloud environments to run their own solutions to it.
