Online load balancing pdf

About Peplink Document Rev. As an innovative creator of technology solutions, Peplink operates globally with offices in North America and Asia in cooperation with distributors, system integrators and strategic alliance partners. Peplink and the Peplink logo are trademarks of Peplink International Ltd. Other brands or products mentioned may be trademarks or registered trademarks of their respective owners.

Specifications are subject to change without prior notice. Please visit our website for accurate and update specifications. Open navigation menu. Close suggestions Search Search. User Settings. Skip carousel. Carousel Previous. Carousel Next. What is Scribd? Explore Ebooks. Bestsellers Editors' Picks All Ebooks.

Explore Audiobooks. Bestsellers Editors' Picks All audiobooks. Explore Magazines. Editors' Picks All magazines. Explore Podcasts All podcasts. Difficulty Beginner Intermediate Advanced. Explore Documents. Peplink Balance Load Balancing Guide. Uploaded by Ulkiora Getsuga. Document Information click to expand document information Description: Peplink Did you find this document useful? Is this content inappropriate? Report this Document.

Description: Peplink Flag for inappropriate content. Related titles. Carousel Previous Carousel Next. Configuring Advanced Windows Server Services. Jump to Page. Search inside document. Link Failover as Backup If any of your connections fail, failover will take place and traffic will automatically be routed through other connections. Host Servers with Confidence Peplink's Inbound Load Balancing Algorithm enables visitors to enter your server through different Internet links to enhance the customers experience with faster response times and higher speeds.

Increase Network Speed. Save Money. What is a multi-WAN router? By default, DNS Lookup is chosen automatically. Outbound Load Balancing Overflow Prevent traffic flow from slowing down when the connection runs out of available bandwidth. Lowest Latency Give you the fastest response time when using applications like online gaming.

Enforced Restrict outbound traffic to a particular connection. For scenarios like accessing a server that only allows users from a specific IP. A common example is outgoing email SMTP , where traffic is mostly upstream.

The table will show new text boxes: Enter the name and IP address you wish to add into the text boxes. The table will allow you to add new records or delete existing records: Inbound Load Balancing To add a new record, enter a value for priority and enter the mail exchange server host name. You will see the following form: The Host Name specifies the sub-domain for the A record. Testing From a host on the Internet, use an IP address of Peplink Balance and nslookup to lookup the corresponding hostname.

The following is a sample Windows nslookup: The IP values here are for illustration only and would likely be different for you. Notice that no mapping is required for ISP A. Uncheck it 5. Repeat the same step for other service s. Finally you get something like this: 7. Save and apply changes. Dr dj. Vysakh Sreenivasan. Lex van Seters. Harmeet Singh. Rahul Naik. Bapi Giri.

Firmansyah Muhammad. Padam Dhami. Fadzil Fahmi Bin Nor. Muhammad Fahmi Al Azhar. Himel Nag Rana. Turck, and a b R. Surveys Tuts. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson, of service demands is large.

Rexford, S. Shenker, and J. Xia, M. Shirazipour, Y. Zhang, H. Green, and A. Elias, F. Martignon, S. Paris, and J. Cohen, L. Lewin-Eytan, J. Naor, and D. Mohammed, M.

Gharbaoui, B. Martini, F. Paganelli, and P. Zhang, Q. Bannazadeh, and A. Service Manag. We formulated the problem as a MILP model pp. Pham and L. Leivadeas, M. Falkner, I. Lambadaris, and G. Fortz and M. Using two real-world datasets, we performed several [15] J. Burns, T.

Ott, A. Krzesinski, and K. Importantly, the experiment results show vol. Raiciu, S. Barre, C. Pluntke, A. Greenhalgh, D. Patel, D. Bansal, L. Yuan, A. Murthy, A. Greenberg, D. Maltz, [20] B. Hendrickson and R. Based on the load data collected from the web servers, include the server load monitor, the load collector and the the DNS server can skip the overloaded ones when dispatching redirection module. The server load monitor tracks the CPU load requests[1]. The server load collector located on the local name server There is basically no direct geographical relationship between initiates the load collection process and determines the most the DNS server and web servers, the web server should not send heavily loaded server and the server with the least load and its state information to the DNS server too often so as to avoid periodically provides the load information to the Web-servers.

For The redirection module determines if a client request has to be this reason, a conventional method defines a load buffer range redirected and the destination Web-server based on the load LBR with low and high thresholds for each web server. In Fig. That is, the DNS server can assign new client requests to that web server. The main objective of this load collection process is to determine the most heavily loaded server and the server with the least load.

The server load collector begins load collection process by placing initial load values and IP-addresses in a load collecting message and sending it to its neighbors in the logical rings. When a Web-server receives a load collecting message from its neighbor, it compares the values of the current maximum load and the minimum load with its own load value.

If the arrived current maximum value is less than its own, then it replaces the current maximum load with its own. If the arrived current minimum value is greater than its own, then it replaces the current minimum with its own and sets the corresponding IP-address in the message.

If the load collector receives the message from the neighbor server, then it broadcasts this message to all the Web-servers to announce Fig.

Finally, when the load of a service server is load is shown in Fig. Page Caching to assign new client requests to that web server.

During this M. Colajanni et al. This may in based distributed web server systems [12]. They concluded turn cause other web servers to become overloaded, and so that taking advantage of both domain information and web on, resulting in unstable service quality. However, they did not consider the effects C.

Random Early Detection Method of page caching on the performance of web server systems. For solving the load oscillation phenomenon of web servers Besides name caching, there is also page caching in the mentioned previously, we consider that the state of overload or Internet.

Page caching takes advantage of reference locality, under-load of a web server in the load buffer range should be and could reduce network traffic and possibly reduce latency[2]. Hence, we use the load balancing in a DNS-based distributed web server system concept of random early detection RED method to determine by utilizing suitable page caching schemes.

In this paper, we the overload status of web servers probabilistically. The RED investigate the effects of some page caching strategies on the idea is first presented in [11] for congestion avoidance in load balancing of DNS-based systems.

Although page caching packet-switched networks. When the average queue size could reduce the traffic load of web server systems, but it is exceeds a preset threshold, the gateway drops or marks each unlikely that simple page caching could greatly improve the arriving packet with a certain probability, where the probability load balance, since statistically hit ratios for requests from is a function of the average queue length. It puts emphasis different clients should be roughly equal[11].

One is to find a better caching policy, and the In [11], the RED gateway calculates the average queue size, other is to use prefetching. Prefetching is a technique that which is compared to a minimum and a maximum threshold. When the average queue However, straightforward prefetching approaches may have size is greater than the maximum threshold, every arriving serious negative performance effects on networks, such as packet is dropped.

When the average queue size is between severe traffic bursties and queueing effects [13]. Moreover, the minimum and maximum thresholds, each arriving packet there are several negative factors that may affect log-based is dropped with probability pa, where pa is a function of the prefetching and could cause wrong prediction [14,15].

Due to average queue length. Applying the RED idea here in the context these difficulties in prefetching, there is an interest in taking of DNS-based load balancing, the probability of a web server advantage of page access statistical information instead of becoming overloaded is directly proportional to its current load.

Studies [17,18] show that page A line chart example of the probability of a web server becoming accesses are non-uniformly distributed. It is obvious that overloaded is shown in Fig.

Conclusion Web-server can be placed in geographically de-centralized area in DNS-based load balancing architecture. In this paper we examined various techniques for a DNS-based distributed Web-server system and summarized their load balancing performance. This paper concludes that various load balancing techniques in distributed web-server systems like name caching, Random Early Detection Method and Load Buffer Range Method have significant effects on the performance optimization of distributed web server systems.

Abrams, C. Standridge, G. Abdulla, S. Williams, and Fig. Caching proxies: Limitations and potentials. When the load of a service server [3] G. Apostolopoulos, D. Aubespin, V. Peris, P. When the D.