A scalable and highly available web server

Dias, Daniel M.; Kish, W.; Mukherjee, Rajat; Tewari, Renu

doi:10.1109/cmpcon.1996.501753

Cited by 153 publications

(86 citation statements)

References 6 publications

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“…This can cause load imbalance because client requests can then bypass the DNS server entirely and go directly to a server [19]. Name-to-IP address mappings have time-to-live attributes (TTL) associated with them which indicate when they are no longer valid.…”

Section: Load Balancingmentioning

confidence: 99%

Enhancing Web Performance

Iyengar¹,

Nahum²,

Shaikh³

et al. 2002

Communication Systems

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This paper provides an overview of techniques for improving Web performance. For improving server performance, multiple Web servers can be used in combination with efficient load balancing techniques. We also discuss how the choice of server architecture affects performance. We examine content distribution networks (CDN's) and the routing techniques that they use. While Web performance can be improved using caching, a key problem with caching is consistency. We present different techniques for achieving varying forms of cache consistency.

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Section: Load Balancingmentioning

confidence: 99%

Enhancing Web Performance

Iyengar¹,

Nahum²,

Shaikh³

et al. 2002

Communication Systems

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“…The idea of using MA in load balancing has been floating around for sometime in homogeneous telecommunication networks because traditional load balancing approaches are implemented based on message passing paradigm [1,10] . In message-passing based approaches, the nodes have to exchange messages of load information periodically in order to make decisions on load balancing.…”

Section: Introductionmentioning

confidence: 99%

“…DLB in turn can be either centralized or distributed. Distributed Load balancing [1,2] is an active technology that provides the art of shaping, transforming and filtering the network traffic and then routing and load balancing it to optimal server node. By adding the concept of load balancer we can distribute the traffic for preventing from failure in any case by having capabilities such as scalability, availability, easy to use, fault tolerance and quick response time.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Distributed Dynamic Load Balancing in Heterogeneous Cluster

Nehra¹,

Patel²,

Bhat³

2007

J. of Computer Science

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Distributed Dynamic load balancing (DDLB) is an important system function destined to distribute workload among available processors to improve throughput and/or execution times of parallel computer in Cluster Computing. Instead of balancing the load in cluster by process migration, or by moving an entire process to a less loaded computer, we make an attempt to balance load by splitting processes into separate jobs and then balance them to nodes. In order to get target, we use mobile agent (MA) to distribute load among nodes in a cluster. In this study, a multi-agent framework for load balancing in heterogeneous cluster is given. Total load on node is calculated using queue length which is measured as the total number of processes in queue. We introduce types of agents along with policies needed to meet the requirements of the proposed load-balancing. Different metrics are used to compare load balancing mechanism with the existing message passing technology. The experiment is carried out on cluster of PC's divided into multiple LAN's using PMADE (Platform for Mobile agent distribution and execution). Preliminary experimental results demonstrated that the proposed framework is effective than the existing ones.

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“…The main reason is that mappings from host names to IP addresses are cached by DNS servers, and therefore can be accessed by many clients while in the cache. The simulations in [7] suggest that, even if this DNS caching anomaly is resolved, the caching of Hostto-IP translations at the clients is enough to introduce significant imbalance.…”

Section: Related Workmentioning

confidence: 99%

“…One common feature of all of these attempts (whether proposed or implemented) is that a centralized mechanism is employed to perform the mapping from IP addresses to hosts. Examples include the Berkeley MagicRouter [2], the Cisco Local Director [17], and IBM's TCP Router [7] and Network Dispatcher [9].…”

Section: Introductionmentioning

confidence: 99%