sonicwall throughput

　　 disk features and application scenarios The disk is divided into local SSD disk and cloud disk, in which the cloud disk is divided into efficient cloud disk, SSD cloud disk and ordinary cloud disk. The following is an introduction to the characteristics and usage scenarios of these disks. High Efficiency cloud Disk SSD Cloud Disk Common Cloud Plate Local SSD Disk High Efficiency cloud Disk 　　Product Features The high efficiency cloud disk uses the solid state hard disk and the mechan

Matrix into small cross matrices and connect them through a high-performance bus in the middle. The advantage is that the number of Cross buses is reduced, the cost is reduced, and the bus contention is reduced. However, the bus connected to the cross matrix becomes a new performance bottleneck. How to check whether the vswitch backboard bandwidth is sufficient The backboard bandwidth is the maximum amount of data that can be transferred between the vswitch interface processor or interface card

speech and in Nitsan's blog is incredible-over 100 M ops/sec. It is 10 times faster than JDK's concurrent queue implementation (the performance on 4-Core Intel Core i7 is about 8 M ops/sec ). With great expectation, I changed the chained blocking queues connected to all actor into lockless SPSC queues. Unfortunately, performance tests on throughput have not significantly improved as I expected. But soon I realized that the bottleneck was not in the S

This analogy is I see on the internet, feel more than obscure terminology easy to understand a lot, so reproduced. Source is easy to understand throughput and latency, semaphores with mutex 1 throughput and latency The first analogy is about throughput (throughput) and latency (latency). If you want to do network perfo

Parallel Scavenge collectors are JAVA one of the garbage collectors in a virtual machine. similar to the Parnew collector, it is a new generation collector. A parallel multithreaded collector using the replication algorithm. 1 , featuresParallel ScavengeThe collector's focus is different from other collectors,ParallelscavengeThe target of the collector is to achieve a controllable throughput (Throughput).

Parallel scavenge collector is also a new generation collector and is also a collector for replication algorithms, and is also a parallel multi-threaded collector, but it is characterized by a different focus and other collectors. This collector is mainly about the concept of throughput . the focus of collectors, such as CMS, is to minimize the downtime of user threads when garbage collection occurs, while the parallel scavenge collector's goal is to

reproduced original: http://www.cnblogs.com/huxi2b/p/4757098.html How to determine the number of partitions, key, and consumer threads for Kafka In the QQ group of the Kafak Chinese community, the proportion of the problem mentioned is quite high, which is one of the most common problems Kafka users encounter. This article unifies the Kafka source code to attempt to the question related factor to discuss. Hope to help you. How to determine the number of partitions. "I should choose severa

. The number of long connections per worker processing is limited. Therefore, when an additional connection arrives, the worker disconnects the currently unresponsive connection to handle the new connection.However, we usually use HTTP to open a short connection, fast processing of large concurrent requests.This is the result of my conversion to the HTTP short connection. Transactions: hits availability: 100.00% Elapsed time: 2.09 secs Data Transferred: 0.00 MB

The system switching ability and processing ability of high speed routers is an important embodiment of their ability to be different from the general routers. At present, the high speed router's backplane switching capacity should reach more than 40Gbps, and the system, even if the oc-192/stm-64 interface is temporarily not provided, it must be in the future without the existing interface cards and general parts upgrades to support the interface. In terms of device processing capability, when t

interfaces without blocking, regardless of traffic type. One metric: Throughput Throughput is the packet forwarding capability of routers. The throughput is related to the number of router ports, port rates, packet lengths, packet types, routing calculation patterns (distribution or centralization), and test methods, which generally refer to the processor's ab

; Nbsp; Low (1) 7.8 80.1 Medium (2) 16.6 68.1 High (3) 29.5 69.2 Large-scale environment Nbsp; Nbsp; Low (1) 5.9 84.4 Medium (2) 13.8 70.3 The test results of DSS work types differ greatly from those of OLTP. After Sorting index fragments, the performance is improved significantly. Because the performance of the workload is strongly dependent on the disk thr