Exo virtual currency software

1. Iexotc, okcoin, bitage and viabtc, etc

2. The existing treatment of AIDS drugs can only control the virus, improve immunity, no cure drugs!

3. 3F
broadsword mine
5F
underground pipeline
Automatic Collection + 3000 black tadpoles
13F
Tomb of King Tutankhamun
Automatic Collection + 10 green water
17F
Tomb Raider (high-quality layers)
open the crack shop, if you don't win, you can't open it<
22F
mechanical device of rock seal (high-quality layers)
Automatic Collection + 50 ancient coins
33F
Central Street subway station
Automatic Collection + 30 apprenticeship ceremony
40F
drug dealer tunnel
Automatic Collection + 10 green water
45F
goblin Laboratory (high-quality layers)
Automatic Collection + 50 ancient coins
50F
World Expo time capsule (high-quality layers)
automatic collection Set + 50 ancient coins
66F
Paris catacombs (high-quality layers)
Automatic Collection + 50 ancient coins
73f
goblin ngeon (high-quality layers)
Automatic Collection + 200 ancient coins
82F
runaway mummies (high-quality layers)
Automatic Collection + 50 ancient coins
94F
underground football field
Automatic Collection + 4000 black tadpoles
135F
deep buried Dragon Ball
get Longzhu
166f
Tokyo underground drainage tunnel (high-quality layers)
Automatic Collection + 150 white tadpoles
195f
prehistoric giant fossils
228f
sty old mecha (high-quality layers)
Automatic Collection + 50 ancient coins
250F
pixel Kingdom underground pipeline
Automatic Collection + 20 apprenticeship ceremony
300F
underground conference room (high-quality layers)
self collection Dynamic collection + 50 ancient coins
322f
Advanced goblin Laboratory (high quality layers)
Automatic Collection + 50 ancient coins
351f
Kiev underground Arsenal (high quality layers)
Automatic Collection + 50 ancient coins
500F
deeply buried jewelry
733f
101 refuge
Automatic Collection + 50 ancient coins

4. Consistent hashing puts forward four adaptive conditions that hash algorithm should meet in the dynamic cache environment: monotonicity means that if some content has been allocated to the corresponding buffer through hashing, and a new buffer has been added to the system, the result of hashing should be able to ensure that the original allocated content can be mapped to the new buffer, It is not mapped to other buffers in the old buffer set This translation information has negative value. When the buffer size changes, consistent hashing tries to protect the allocated content from being re mapped to the new buffer.) Simple hash algorithms often can not meet the monotonicity requirements, such as the simplest linear hash: X → ax + bmod (P). In the above formula, P represents the size of all buffers. It is not difficult to see that when the buffer size changes (from P1 to P2), all the original hash results will change, which does not meet the monotonicity requirements. The change of hash result means that when the buffer space changes, all mapping relationships need to be updated in the system. In P2P system, the change of buffer is equivalent to peer joining or quitting the system. This situation will occur frequently in P2P system, so it will bring great computing and transmission load. Monotonicity requires that hash algorithm can deal with this situation. The load problem is actually looking at the problem of decentralization from another perspective. Since different terminals may map the same content to different buffers, a specific buffer may also be mapped to different content by different users. As with decentralization, this situation should be avoided, so a good hash algorithm should be able to rece the load of buffer as much as possible. On the surface, consistent hashing aims at the problem of distributed buffering, but if we regard buffering as peer in P2P system and map content as various shared resources (data, file, media stream, etc.), we will find that they are actually describing the same problem. Routing algorithm in the consistent hash algorithm, each node (corresponding to peer in P2P system) has a randomly assigned ID. When the content is mapped to the node, the consistency hash operation is performed by using the keyword of the content and the ID of the node, and the key value is obtained. Consistent hashing requires that the key value and node ID are in the same range. The simplest key value and ID can be one-dimensional, such as a set of integers from 0000 to 9999. When you store content based on the key value, the content is stored on the node with the ID closest to its key value. For example, if the key value is 1001 and there is a node with ID 100010101100 in the system, the content will be mapped to 1000 nodes. In order to construct the route for query, each node is required to store the location information (IP address) of its uplink node (ID value is greater than the smallest node in itself) and downlink node (ID value is less than the largest node in itself). When the node needs to find the content, it can decide to send the query request to the uplink or downlink node according to the key value of the content. If the node receiving the query request finds that it has the requested target, it can directly return the confirmation to the node initiating the query request; If it is found that it does not belong to its own scope, it can forward the request to its own uplink / downlink node. In order to maintain the above routing information, the neighboring nodes must update the routing information in time when they join or leave the system. This requires that nodes not only store the location information of directly connected downlink nodes, but also know the indirect downlink node information of a certain depth (n hops), and maintain the node list dynamically. When a node exits the system, its uplink node will try to connect directly to the nearest downlink node. After the connection is successful, it obtains the downlink node list from the new downlink node and updates its own node list. Similarly, when a new node joins the system, it first finds the downlink node according to its own ID and obtains the list of downlink nodes, and then requests the uplink node to modify its list of downlink nodes, thus restoring the routing relationship.