What is claimed is:
1. A fluorene-based polymer of the following Formula (I):
10
wherein,
R1, R2, R3 and R4 are same or different and represent hydrogen, aliphatic or alicyclic alkyl or alkoxy groups containing 1 to 22 carbon atoms, aryl or aryloxy group containing 6 to 18 carbon atoms, cyano, cyanoethyl, or an alkyl or aryl derivatives of silicon, tin or germanium;
X represents diacetylene, diethynyl aryl, divinylaryl group or a single bond; and n is an integer equal to or grater than 1.
2. The fluorene-based polymer of claim 1, wherein n is an integer from 1 to 1,000.
3. The fluorene-based polymer of claim 1, wherein R1 or R2 is selected from the group consisting of hydrogen, methyl, ethyl, propyl, isopropyl, butyl, isobutyl, pentyl, hexyl, ethylhexyl, heptyl, octyl, isooctyl, nonyl, decyl, dodecyl, hexadecyl, octadecyl, docodecyl, cyclopropyl, cyclopentyl, cyclohexyl, methoxy, ethoxy, butoxy, hexyloxy, methoxyethoxyethyl, methoxyethoxyethoxyethyl, phenyl, phenoxy, tolyl, benzyl, naphthyl, anthracene, cyano or cyanoethyl, trimethylsilyl, triphenylsilyl, tributyltin, or triethylgermanium.
4. The fluorene-based polymer of claim 1, wherein X is selected from the group consisting of the following:
11
wherein, nil means a direct bonding, or single bonding without through an acytylene group or any double bond; Ar represents a phenyl group or a group having at least two phenyl groups such as fluorene, terphenyl, naphtalene, anthracene, phenanthrene and their derivatives in ortho, meta or para position, or a group having hetero atom such as pyridine, furan, thiophene, pyrrole, dibenzofuran, dibenzothiophene, diphenyoxadiazole, diphenylthiadiazole, cabazole and their derivatives and diphenylmethane or diphenylsilane and bisphenoxyalkane or alkoxy compound of various isomers; and Also, R1 and R2 have the same definition as aforementioned, R and R have the same definition as defined in claim 1.
5. The fluorene-based polymer of claim 1, wherein said polymer is a homopolymer or a copolymer.
6. An electroluminescent device comprising a fluorene-based polymer according to any of claims 1 to 5 as a luminescent layer.
7. The electroluminescent device of claim 6, having a structure of cathodeluminescent layeranode or cathodehole transfer layerluminescent layeranode.
8. The electroluminescent device of claim 6, wherein the luminescent layer is obtained by cross-linking the fluorene-based polymer of Formula 1 of claim 1 by using heat andor light.
9. The electroluminescent device of claim 6, wherein the luminescent layer is made of a blended material of a fluorene-based polymer of Formula 1 of claim 1 and a macromolecule for general use selected from the group consisting of polyvinylcarbazole, polymethylmethacrylate, polyarcylate, polystyrene, polycarbonate, polyvinylchloride, polyethylene, polypropylene, polyacrylonitrile, polyvinylpyrrolidone, polyvinylalcohol, polyvinylacetate, polyvinylbutyral, polyvinylamine, polycaprolacton, polyethylentherephthalate, polybutylentherephthalate, polyurethane, acrylonitrilestyrenebutadiene (ABS), polysulfone, or polyvinylfluoride, acetal, polyamide, polyimide, polyesters, alkyd, urea, furan, nylon, melamine, phenol, silicone, and epoxy of the Formula.
10. The electroluminescent device of claim 9, wherein the weight ratio of the macromolecule for general use to fluorene-based polymer of Formula 1 is 0.1 to 99.9:1.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A network device comprising:
management circuitry configured to:
identify an abnormal traffic pattern in first network data communicated by a first virtual machine that uses a first set of network resources, and in response:
select a second set of network resources for use by an analysis virtual machine to analyze the abnormal traffic pattern in subsequent network data communicated by the first virtual machine including:
selecting, for the second set of network resources, a particular network device with a minimum number of network hops between the particular network device and another network device in the first set of network resources used by the first virtual machine; and
initialize the analysis virtual machine to use the second set of network resources;
determine a secure route between the first virtual machine to the analysis virtual machine; and
configure the first virtual machine to send the subsequent network data to the analysis virtual machine using the secure route.
2. The network device of claim 1, where the management circuitry is further configured to select the second set of network resources by:
selecting a network device with an increased security capability for use by the analysis virtual machine.
3. The network device of claim 1, where the management circuitry is configured to determine the secure route so the first virtual machine sends the subsequent network data to the analysis virtual machine over the minimum number of network hops between the particular network device and the another network device.
4. The network device of claim 1, where the management circuitry is configured to determine the secure route to include a non-critical network node by:
identifying the non-critical network node; and
adding the non-critical network node to the secure route.
5. The network device of claim 1, where the management circuitry is further configured to:
configure the first virtual machine to send the subsequent network data to the analysis virtual machine through a secure connection.
6. The network device of claim 1, where the management circuitry is further configured to:
configure an intermediate network node that received the first network data to send the first network data communicated by the first virtual machine to the analysis virtual machine.
7. A method comprising:
performing by a network device:
identifying an abnormal traffic pattern in first network data communicated by a first virtual machine that uses a first set of network resources, and in response:
selecting a second set of network resources for use by an analysis virtual machine to analyze the abnormal traffic pattern in subsequent network data communicated by the first virtual machine including:
selecting, for the second set of network resources, a particular network device with a minimum number of network hops between the particular network device and another network device in the first set of network resources used by the first virtual machine; and
initializing the analysis virtual machine to use the second set of network resources;
determining a secure route between the first virtual machine to the analysis virtual machine; and
configuring the first virtual machine to send the subsequent network data to the analysis virtual machine using the secure route.
8. The method of claim 7, where selecting the second set of network resources further comprises:
selecting a network device with an increased security capability for use by the analysis virtual machine.
9. The method of claim 7, comprising determining the secure route so the first virtual machine sends the subsequent network data to the analysis virtual machine over the minimum number of network hops between the particular network device and the another network device.
10. The method of claim 7, comprising determining the secure route to include a non-critical network node by:
identifying the non-critical network node; and
adding the non-critical network node to the secure route.
11. The method claim 7 further comprising:
configuring the first virtual machine to send the subsequent network data to the analysis virtual machine through a secure connection.
12. The method of claim 7, further comprising:
configuring an intermediate network node that received the first network data to send the first network data communicated by the first virtual machine to the analysis virtual machine.
13. A product comprising:
a non-transitory computer-readable medium storing instructions, that when executed by a processor, cause a system to:
identify an abnormal traffic pattern in first network data communicated by a first virtual machine that uses a first set of network resources, and in response:
select a second set of network resources for use by an analysis virtual machine to analyze the abnormal traffic pattern in subsequent network data communicated by the first virtual machine including:
selecting, for the second set of network resources, a particular network device with a minimum number of network hops between the particular network device and another network device in the first set of network resources used by the first virtual machine; and
initialize the analysis virtual machine to use the second set of network resources;
determine a secure route between the first virtual machine to the analysis virtual machine; and
configure the first virtual machine to send the subsequent network data to the analysis virtual machine using the secure route.
14. The product of claim 13, where the instructions further cause the system to select the second set of network resources by:
selecting a network device with an increased security capability for use by the analysis virtual machine.
15. The product of claim 13, where the instructions cause the system to determine the secure route so the first virtual machine sends the subsequent network data to the analysis virtual machine over the minimum number of network hops between the particular network device and the another network device.
16. The product of claim 13, where the instructions cause the system to determine the secure route to include a non-critical network node by:
identifying the non-critical network node; and
adding the non-critical network node to the secure route.
17. The product of claim 13, where the instructions further cause the system to:
configure the first virtual machine to send the subsequent network data to the analysis virtual machine through a secure connection.
18. The product of claim 13, where the instructions further cause the system to:
configure an intermediate network node that received the first network data to send the first network data communicated by the first virtual machine to the analysis virtual machine.