Significant Increase in Bandwidth

Hi there
This is probably not a big problem for most other people in the world, but bandwidth/traffic is a big deal to us as we pay for every MB we use. Since we've implemented JavaMail and got our clients to switch from Outlook they say that they have had a huge increase in the amount of bandwidth used. Sometimes 4 to 5 times the previous total traffic.
Is it possible that the way JavaMail downloads the emails from the server (POP) could be any different that e.g. Outlook? I am fairly sure we do not download the same message more than once.
Any help will be appreciated!
Marius

Are you sure Outlook was using POP and not some Microsoft proprietary protocol?
There aren't a lot of choices with the POP3 protocol. JavaMail will download the
headers first if you only access the header information, and then will download
the entire message (headers and body) if you access the message content.
If you know you're going to access all the content you can avoid the first download
of just the headers, but still that shouldn't be a significant impact on bandwidth.

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    I am doing a Capacity planning for the WAN Link Bandwidth. To study the last month bandwidth utilization in the MRTG graph, i am seeing  two values
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    To measure how much bandwidth my remote location is using which value i have to use. Average or Max?
    Average is always low eg. 20% to 30%
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    What is the best practice followed in the networking industry to derive the upgrade size of the bandwidth by using the Utilization graph
    regards,
    SAIRAM

    Hello.
    It makes no sense to use average during whole day (or a month), as you do the capacity management to avoid business impact due to link utilization; and average does not help you to catch is the end-users experience any performance issues.
    Typically your capacity management algorithm/thresholds are dependent on traffic patterns. As theses are really different cases if you run SAP+VoIP vs. youtube+Outlook. If you have any business critical traffic, you need to deploy QoS (unless you are allowed to increase link bandwidth infinitely).
    So, I would recommend to use 95-percentile of maximum values on 5-15 minutes interval (your algorithm/thresholds will be really sensitive to pooling interval, so choose it carefully). After to collect baseline (for a month or so)  - go and ask users about their experience and try to correlate poor experience with traffic bursts. This would help you to define thresholds for link upgrade triggers.
    PS: proactive capacity management includes link planning for new sites and their impact on existing links (in HQ and other spoke).
    PS2: also I would recommend to separately track utilization during business hours (business traffic) and non-business (service or backup traffic).

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