In block codes, information bits are followed by parity bits. In convolution codes, information bits are spread along the sequence. Block codes are memoryless whereas Convolution codes have memory. Convolution codes use small codewords in comparison to block codes, both achieving the same quality.
Block code code information in blocks while convolutional codes convolve information bit sequence
Think it through, out loud. Walk through your options- don't just pick one. DS3, metro-E, SONET, etc.
someone building networks with thousands of external connections considering anything but 10G, 1G at minimum... doesn't understand COGS.... the name of the game is $0.000xxx/Mbps.. which you are not going to get with anything but ethernet.
SNMP/NetFlow to monitor the WAN Bandwidth Utilization + Characterize the Traffic (what type of traffic is using the network, QoS parameters for applications, CoS) a. Characterizing the traffic: 1. identify major traffic sources and stores and documented traffic flow between them. (Voice, Video) 2. categorize the traffic flow for each application as being terminal/host, client/server, peer-to-peer, server/server, or distributed computing. 3. estimate the bandwidth requirements for each application. 4. estimate the bandwidth requirements for routing protocols. 5. characterize network traffic in terms of broadcast/multicast rates, efficiency, frame sizes, windowing and flow control, and error-recovery mechanisms. 6. categorize the QoS requirements of each application and what are the current trends 7. discuss the challenges associated with implementing end-to-end QoS and the need for devices across the network to do their part in implementing QoS strategies. When the team determines that bandwidth augmentation is necessary based on the utilization reports of NetFlow and comparing it with the companies’ policies that the traffic is going over the threshold during the business hours, provides a recommendation to network engineers and managers. Once it is determined that an upgrade is necessary, proceeding with the upgrade becomes a business decision.
Adword Revenue : No. of impressions * Click Thru Rate * Cost Per Click Anyone of the three parameters could decline to have an overall reduction in revenue. No. of Impressions could go down if a. The internet usage has fallen for some socio-culturaal reasons in Italy b. The usage of Google search has reduced because of may be some competitor applicaton launch or some major marketing promotion activities c. Some major technical issues has come up may be in the Google servers which is resulting in higher latency in Google Search applications resulting in reduced usage Click Thru Rate might have gone down 1 Major shift is usage clusters Keywords used have changed resulting in changed search behavior where in people are less prone to click thru. 2 Some technical issues like adds not displayed properly Same major flaw in random add picking might have got introduced 3. Some recent layout change has been there and peope are yet to get accustomed with the changed layout Reduced CPC: 1. People are spending less on Adwords and hence bidding less 2 Due to the keyword change, the new cluster CPC is much lesser.
1. Determine the amount of decrease in month over month percentages, and make sure this isn't a trend. 2. Assuming we've seen similar decreases in conversions and clicks, 30 days is a month's time. Let's say this is in August, when the entire country uses the majority of their average of 42 vacation days per year. That's a factor. 3. Given you've said decreases in revenue and assuming all click and conversion data remained the same month over month, we may look for broken dynamic revenue variable conversion codes on the page source. Was there a site update?
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"One size, does not fit all" I designed a performance management system where the business/strategic goals were aligned with the HR Department's goals as to measure the success of each employee and help improve the process and procedures. It was successful because the turn-over rate decreased, productivity increased, and sales were booming!
I said I would talk to them about t-shirt sizing and try several ways to help them understand that story estimation has little to nothing to do with time, rather effort. I also explained that this was a challenging topic for a new team.
Story points should be explained to a team that's new to agile, that it's an agreed upon estimate. Explaining to teams that it's the amount of
Time vs effort.. teams get hung up on time based estimates. And not about the amount of effort it's going to take to accomplish a task/user story.
Primarily due to larger amount of locking needed, but also due to immaturity of ESX volume management. Using few metas (luns) striped across a similar number of spindles, and similar port use, as the many smaller devices provides the same physical I/O performance with less overhead in ESX.