VMware relies on Edge Computing, KI and Enterprise Blockchain
In order to be able to process and analyze data at the data source even faster at the data source in the age of the Internet of Things ( IoT ), a decentralized data center ( edge computing ) is a must for every company. This technology brings analysis, processing and storage capabilities to the edge of the network to "sort" large amounts of data in a pre-process and send them to the cloud or dedicated data center for further processing.
More services for edge computing
With the Dimension project, VMware now intends to make the cloud-specific functionalities and services available for on-premise data centers and edge data centers as well. This means VMware extends its SDDC infrastructure and hardware as a service cloud offerings to edge locations, managing infrastructure, troubleshooting, patching and maintenance. For example, with the integrated VMware Managed Service, the system can independently initiate a service request in case of an inconsistent network connection.
"It's a complete end-to-end environment powered by VMware," said CEO Pat Gelsinger during the keynote address at VMworld. "Project Dimension makes the complete VMware Cloud Foundation Stack available for edge, on-premise, and the cloud."
VMware is currently working with hardware vendors Dell EMC and Lenovo. They provide companies that require an edge system with hyperconverged hardware. It is designed to automatically connect to the VMware Cloud and configure itself as soon as the customer activates the system.
Artificial intelligence helps with virtualization
The Magma project is still in the development phase. In it, VMware combines artificial intelligence (AI) and machine learning (ML) to build virtual IT infrastructures that can optimize themselves. In the future, data center environments will monitor and restructure themselves in order to achieve maximum performance and efficiency at all times, depending on the given parameters. According to VMware, this technology analyzes countless measurement points on the system stack, from application code , software and hardware infrastructure to the public cloud and the edge. Among other things, the collected data from the control points can be used to optimize the infrastructure on KPIs in terms of performance, costs or user-defined guidelines.
In a demonstration at VMworld, VMware demonstrated how this technology learned and understood the behavior of a given application to use it to model an ideal network for that application. For example, Magma can optimize a network in terms of set performance parameters by reconfiguring it in several recursions and using the knowledge gained by KI and ML. Magma's goal is to autonomously automate and optimize its entire infrastructure so that the IT manager only has to take care of the application functionalities and not focus so much on the running of the IT infrastructure.
Blockchain moves into the focus of VMware
After more than two years of development, VMware presented the Concord project at VMworld. The framework is a scalable, energy-efficient, distributed infrastructure for digital consensus and intelligent contract handling including blockchain, which VMware now makes available to the open source blockchain community.
"Blockchain is beginning to appear among enterprise data center workloads," said O'Farrell, CTO of VMware. "We see more and more companies evaluating Blockchain for intelligent contract and digital consensus solutions, and this technology will play a critical role in the business interactions between companies in the future."
The blockchain forms a decentralized, uninterrupted, sequential "accounting system" that is replicated and stored on multiple, independent computers or nodes. Each node follows identical instructions (protocols) that dictate how the shared ledger (ledger) is updated with new transactions and whether these updates are valid. Many blockchain systems rely on resource-intensive proof-of-work mechanisms when validating transactions. They also require extensive node-to-node communication that does not scale well and is currently a critical barrier to cross-enterprise blockchain environments.
Project Concord aims to solve this problem by simplifying and streamlining the communication between the nodes, which allows for greater scalability and higher overall throughput of the network. A linear, consensus-based communication protocol and fast cryptographic algorithms (BLS Threshold Signatures) should help. In addition, VMware plans to implement enterprise-class elements such as audit and compliance capabilities, security and fault tolerance, and integration with other VMware offerings in the Concord engine.
More services for edge computing
With the Dimension project, VMware now intends to make the cloud-specific functionalities and services available for on-premise data centers and edge data centers as well. This means VMware extends its SDDC infrastructure and hardware as a service cloud offerings to edge locations, managing infrastructure, troubleshooting, patching and maintenance. For example, with the integrated VMware Managed Service, the system can independently initiate a service request in case of an inconsistent network connection.
"It's a complete end-to-end environment powered by VMware," said CEO Pat Gelsinger during the keynote address at VMworld. "Project Dimension makes the complete VMware Cloud Foundation Stack available for edge, on-premise, and the cloud."
VMware is currently working with hardware vendors Dell EMC and Lenovo. They provide companies that require an edge system with hyperconverged hardware. It is designed to automatically connect to the VMware Cloud and configure itself as soon as the customer activates the system.
Artificial intelligence helps with virtualization
The Magma project is still in the development phase. In it, VMware combines artificial intelligence (AI) and machine learning (ML) to build virtual IT infrastructures that can optimize themselves. In the future, data center environments will monitor and restructure themselves in order to achieve maximum performance and efficiency at all times, depending on the given parameters. According to VMware, this technology analyzes countless measurement points on the system stack, from application code , software and hardware infrastructure to the public cloud and the edge. Among other things, the collected data from the control points can be used to optimize the infrastructure on KPIs in terms of performance, costs or user-defined guidelines.
In a demonstration at VMworld, VMware demonstrated how this technology learned and understood the behavior of a given application to use it to model an ideal network for that application. For example, Magma can optimize a network in terms of set performance parameters by reconfiguring it in several recursions and using the knowledge gained by KI and ML. Magma's goal is to autonomously automate and optimize its entire infrastructure so that the IT manager only has to take care of the application functionalities and not focus so much on the running of the IT infrastructure.
Blockchain moves into the focus of VMware
After more than two years of development, VMware presented the Concord project at VMworld. The framework is a scalable, energy-efficient, distributed infrastructure for digital consensus and intelligent contract handling including blockchain, which VMware now makes available to the open source blockchain community.
"Blockchain is beginning to appear among enterprise data center workloads," said O'Farrell, CTO of VMware. "We see more and more companies evaluating Blockchain for intelligent contract and digital consensus solutions, and this technology will play a critical role in the business interactions between companies in the future."
The blockchain forms a decentralized, uninterrupted, sequential "accounting system" that is replicated and stored on multiple, independent computers or nodes. Each node follows identical instructions (protocols) that dictate how the shared ledger (ledger) is updated with new transactions and whether these updates are valid. Many blockchain systems rely on resource-intensive proof-of-work mechanisms when validating transactions. They also require extensive node-to-node communication that does not scale well and is currently a critical barrier to cross-enterprise blockchain environments.
Project Concord aims to solve this problem by simplifying and streamlining the communication between the nodes, which allows for greater scalability and higher overall throughput of the network. A linear, consensus-based communication protocol and fast cryptographic algorithms (BLS Threshold Signatures) should help. In addition, VMware plans to implement enterprise-class elements such as audit and compliance capabilities, security and fault tolerance, and integration with other VMware offerings in the Concord engine.
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