Welcome to PaLs Online Blog. This blog was created in order for me to share happy moments together with my family, friends, and love ones. New learning and ideas are discovered.Explore your imaginations, think wise, be observant, learn and have fun at the same time. Anything from the old stuff to the newest technology updates. Also to share to you guys on how to earn money online. Why work outside when you can work at home? This is all for you guys. Hope you enjoy it.
Sunday, January 30, 2011
PTC25 First Payment
Payment received: January 29, 2011
Tuesday, January 25, 2011
Paidtohit First Payment
Paid Last January 25, 2011
Neobux/Onbux Secret Ways To Earn
The only catch is you won’t be making $50/day right off the bat. You will be making a few cents when you first start. The name of the game is called PATIENCE. Now, with this method, I won’t be investing any money to earn money. If you have money to invest, by all means, do it and you’ll see results faster than mine.
The key to making money on NeoBux/Onbux is through referrals. It’s simple, if you don’t have referrals, you won’t make money. You can rent referrals directly from NeoBux/Onbux. The referrals are real people and cost 30 cents a month each. Some will be active and some won’t. To “recycle” a non-active referral for an active one you have to pay 8 cents. It may seem like a lot, but it’s worth it. If you don’t recycle inactive referrals, you will lose money.
When you reach 75 cents by clicking on your own (if you don’t invest money), you can purchase your first 3 referrals. This is where most people go wrong. It takes a few days to earn the 75 cents on your own and people are so eager to buy referrals that they just purchase as soon as their account reaches $.75. When people do this they do not realize that they do not have enough money to maintain their rented referrals and their referrals eventually are taken away because they can’t pay for them. Before you rent referrals you should earn $3 by clicking on your ads and then transfer it to your rental balance. This way you have $1 per referral and you will easily be able to recycle them if they are not active or pay to keep them for one more month. It will take a while to get $3 on your own, but this way you will be able to keep your referrals and exchange the inactive ones for active ones without the fear that you will not be able to pay for them.
Autopay is another must. As soon as you rent your first 3 referrals turn autopay on. Referrals cost 30 cents a month to keep. Instead of you paying for the referral, they pay for themselves as long as you have autopay turned on. What it does it subtract one of the advertisements your referral views each day and puts it towards the 30 cents that referral needs to stick around for another month. So you get one less penny from each referral, but they will be your referral as long as they are active.
Cashing out too early is a huge problem for people that use neobux. When you request a payment it is INSTANTLY transfered into your alertpay/paypal account. In order to see if neobux is indeed legit (which it is) many people will earn a dollar by clicking and then cash it out. Woo-hoo. You now have a WHOLE DOLLAR in your paypal account. That dollar should have been put towards buying referrals. With this strategy you will be putting $3 into your rental balance before you buy 3 referrals. So $1 per referral. I actually would not cash out until I start reaching +1000 refs. Keep renting referrals by increments of 3 (you can rent by higher increments later as your referrals make you more money) and continue until you have 500 referrals. This will take quite some time. This is where most people flake out. When you reach 500 referrals, stop buying referrals and just maintain the ones you already have. Keep doing this until the money builds up to about $100 and you can use $90 of it to pay for golden. $100 won’t take very long at all to get once you have 500 referrals and once you upgrade to golden your earnings will DOUBLE. This is the great part. Golden costs $90 a year but instead of getting half a cent for every advertisement your referral views, you get 1 cent. Your earnings double. That’s all there is to it.
Keep renting new referrals after you upgrade to golden and don’t cash out. Remember, you haven’t cashed out at all, and you shouldn’t until you have 2000 referals. But when you do cash out, you will be able to cash out about $50 a day. And that’s the end of the strategy.
Source:
http://www.sulit.com.ph/index.php/view+classifieds/id/1727916/+BEST+PTC+SITES+EVER!!+NEOBUX+SECRET+-+makes+$50/day..#ixzz0fId5I1iI
Sunday, January 23, 2011
Computer Clustering
Cluster categorizations
High-availability (HA) clusters
(also known as Failover Clusters) are implemented primarily for the purpose of improving the availability of services that the cluster provides. They operate by having redundant nodes, which are then used to provide service when system components fail. The most common size for an HA cluster is two nodes, which is the minimum requirement to provide redundancy. HA cluster implementations attempt to use redundancy of cluster components to eliminate single points of failure.
There are commercial implementations of High-Availability clusters for many operating systems. The Linux-HA project is one commonly used free software HA package for the Linux operating system. The LanderCluster from Lander Software can run on Windows, Linux, and UNIX platforms.
Load-balancing clusters
Load-balancing is when multiple computers are linked together to share computational workload or function as a single virtual computer. Logically, from the user side, they are multiple machines, but function as a single virtual machine. Requests initiated from the user are managed by, and distributed among, all the standalone computers to form a cluster. This results in balanced computational work among different machines, improving the performance of the cluster systems.
Compute clusters
Often clusters are used primarily for computational purposes, rather than handling IO-oriented operations such as web service or databases. For instance, a cluster might support computational simulations of weather or vehicle crashes. The primary distinction within computer clusters is how tightly-coupled the individual nodes are. For instance, a single computer job may require frequent communication among nodes - this implies that the cluster shares a dedicated network, is densely located, and probably has homogenous nodes. This cluster design is usually referred to as Beowulf Cluster. The other extreme is where a computer job uses one or few nodes, and needs little or no inter-node communication. This latter category is sometimes called "Grid" computing. Tightly-coupled compute clusters are designed for work that might traditionally have been called "supercomputing". Middleware such as MPI (Message Passing Interface) or PVM (Parallel Virtual Machine)permits compute clustering programs to be portable to a wide variety of clusters.
OS vs Application Server Clustering
In general, operating-system level clustering (aka hardware clustering) is designed to manage hardware and os-level failures. These typically work by starting a backup server when a primary fails in such a way that it fully assumes the role of the primary. Failover generally involves re-assigning the failed server IP-Address to the backup (IP-takeover), re-permissioning file system access to the backup (if using a shared file system instead of replication) , and then running a script that you setup yourself to startup all your applications. This technology is older, takes more time to perform a failover, and is less able to fully utilize all of your hardware resources. Application Server Clustering, or, more generally, software clustering, is far more capable and dynamic. First of all, the backup server is usually in at least a warm-standby mode and hopefully hot, meaning that it can immediately assume the primary's responsibilities with very little delay. Second, advanced software-level clustering also supports load-balancing, so you never have "backup" hardware sitting idle. Instead of re-assigning IP addresses, applications that connect to your clustered environment must already be designed to check for service failure/availability on more than one destination host. Alternatively, you can use some kind of load balancer/traffic router that exposes the cluster as a single IP address. By focusing on the availability of the application service, any lower-level problems in the OS or hardware are automatically covered as well (assuming, of course, that they cause the software to crash). A final difference is the dynamic nature of newer software clustering techniques. You can generally add or lose capacity on-the-fly with little or no visible impact to dependent applications. Hardware-level clustering is quite difficult to correctly setup and modify and requires fairly painful and regular testing.
The ultimate computer cluster would be a group of computers working together to seamlessly provide services and appear as one computer. This cluster would make its services available to applications transparently. This means that an application written to run on a single computer, would see no difference in running on the cluster. In addition, it would get all the benefits of being on the cluster without impacting its operation at all – scalability, high availability, memory management, etc. To my knowledge, this type of cluster does not exist.Hardware and OS level clustering allows multiple computers to work together for a purpose, but the computers generally don’t appear to applications as 1 big computer. When the OS makes this possible, special programming is usually required to make an application take advantage of the clustered OS services. Most of the time, OS clusters are geared toward providing high-availability (HA) for fault tolerance rather than seamless scalability of applications running on the cluster (HPC – high performance computing). Windows 2003 server clustering and SQL Server clusters are examples of clusters that are geared toward HA rather than HPC.
Sources:
http://en.wikipedia.org/wiki/Computer_cluster
http://www.theserverside.com/discussions/thread.tss?thread_id=41734
http://tompierce.blogspot.com/2008/05/application-vs-os-clustering.html
Thursday, January 13, 2011
Universalbux 2nd Payment
Paid Last January 13, 2011 A new site and very promising. :)
Sunday, January 9, 2011
Universalbux 1st Payment
Paid on January 10, 2011