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Adaptive network with automatic scaling

a network and automatic scaling technology, applied in the field of network design and management, can solve the problems of high acquisition cost, packet loss and malfunction, high capacity waste, etc., and achieve the effects of reducing capacity waste without sacrificing service quality, high performance and high availability services

Inactive Publication Date: 2010-09-02
YOTTAA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

"The invention is a method and system for automatically scaling the processing capacity and bandwidth capacity of a network. It involves monitoring the demand for processing capacity and bandwidth capacity and adjusting the number of traffic processing units and the connections between network links accordingly. This allows the network to adapt to changes in demand and ensures optimal performance and availability. The system is adaptive, scalable, and fault-tolerant, meaning it can handle component failures without causing system failure. Overall, the invention improves the efficiency and flexibility of network systems."

Problems solved by technology

When there is not enough capacity, problems ranging from slowness, congestion, to packet loss and malfunctioning would occur.
The problems of such approaches include high acquisition cost and over-provisioning or under-provisioning of capacity.
Acquiring all the traffic processing components and setting up the links upfront can be very expensive for a large-scale network.
The cost to build a large-scale network can range from millions of dollars to even higher.
However, normal bandwidth demand and processing demand are significantly lower than peak demands.
Thus a significant portion of capacity is wasted.
For large-scale networks, such waste is significant and ranges from thousands of dollars to millions of dollars or even higher.
Further, such over-provisioning creates a significant carbon footprint.
Because prior art networks are based on fixed capacity, service suffers when capacity demand overwhelms the fixed capacity and waste occurs when demand is below the provisioned capacity.

Method used

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Examples

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Embodiment Construction

Cloud Routing Network

[0028]The present invention describes a cloud routing network that is implemented as an overlay virtual network or as a physical network. By way of background, we use the term “cloud routing network” to refer to a network (virtual or physical) that includes traffic processing nodes (TPUs) deployed at various locations inter-connected by network links, through which client traffic travels to destinations. A cloud routing network can be a virtual overlay network superimposed on an underlying physical network, a physical network or a combination of both. Referring to FIG. 2, the cloud routing network 300 includes router clouds 340, 350 and 360, which are superimposed over a physical network 370, which in this case is the Internet. Cloud 340 includes TPUs 342, 344, 346. Cloud 350 includes TPUs 352, 354 and cloud 360 includes TPUs 362, 364. Each TPU has a certain amount of processing capacity. The TPUs are connected to each other via network links. Each link possesse...

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PUM

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Abstract

A method for automatic scaling the processing capacity and bandwidth capacity of a network includes providing a network comprising a plurality of traffic processing units and a plurality of network links. Next, providing monitoring means for monitoring processing capacity demand and bandwidth capacity demand of the network. Next, providing managing means for adding traffic processing units to the network, removing traffic processing units from the network, connecting links to the network and disconnecting links from the network. Next, monitoring processing capacity demand and bandwidth capacity demand of the network via the monitoring means and then dynamically adjusting processing capacity of the network by selectively adding or removing traffic processing units in the network via the managing means upon observation of processing capacity demand increase or processing capacity demand decrease, respectively. The method also includes dynamically adjusting bandwidth capacity of the network by selectively connecting or disconnecting links in the network via the managing means upon observation of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.

Description

CROSS REFERENCE TO RELATED CO-PENDING APPLICATIONS[0001]This application claims the benefit of U.S. provisional application Ser. No. 61 / 156,069 filed on Feb. 27, 2009 and entitled METHOD AND SYSTEM FOR COMPUTER CLOUD MANAGEMENT, which is commonly assigned and the contents of which are expressly incorporated herein by reference.[0002]This application claims the benefit of U.S. provisional application Ser. No. 61 / 165,250 filed on Mar. 31, 2009 and entitled CLOUD ROUTING NETWORK FOR BETTER INTERNET PERFORMANCE, RELIABILITY AND SECURITY, which is commonly assigned and the contents of which are expressly incorporated herein by reference.FIELD OF THE INVENTION[0003]The present invention relates to network design and management and in particular to a system and a method for an adaptive network with automatic capacity scaling in response to load demand changes.BACKGROUND OF THE INVENTION[0004]Networking changed the information technology industry by enabling different computing systems to c...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): H04L12/26H04J3/22
CPCH04L41/0896H04L47/822H04L47/781H04L41/145H04L41/0897
Inventor WEI, COACH
Owner YOTTAA
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