An up-to-date survey in web load balancing

Gilly, Katja; Juiz, Carlos; Puigjaner, Ramon

doi:10.1007/s11280-010-0101-5

Cited by 44 publications

(22 citation statements)

References 58 publications

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“…Technically, to solve the peak problem, the developer implements load balancing agent system [4,5]. Instead of developing load balancer, in this paper, we proposed a distributed data collection.…”

Section: Rest Approach and Proposed Methodsmentioning

confidence: 99%

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Redefining Data Provider: The REST approach To solve Indonesia Lecturer administrative problems

Kautsar

Kubota

Musashi

et al. 2014

2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

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Section: Rest Approach and Proposed Methodsmentioning

confidence: 99%

“…The abstract must be no longer than 100 words. 4. Page headers and footers must not include any information whatsoever (no page numbers, etc).…”

mentioning

confidence: 99%

Redefining Data Provider: The REST approach To solve Indonesia Lecturer administrative problems

Kautsar

Kubota

Musashi

et al. 2014

2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

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“…For each port, the value of previous_total_bytes and previous_to-tal_seconds are initialized to 0. These variables store the values of total bytes and total seconds from the beginning until the previous execution of this subcomponent (lines [5][6]. The response to the REST API request is parsed and total received bytes and total seconds are extracted for the current port (line 7).…”

Section: The Best Server Selector Componentmentioning

confidence: 99%

SD‐WLB: AnSDN‐aided mechanism for web load balancing based on server statistics

2019

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Software‐defined networking (SDN) is a modern approach for current computer and data networks. The increase in the number of business websites has resulted in an exponential growth in web traffic. To cope with the increased demands, multiple web servers with a front‐end load balancer are widely used by organizations and businesses as a viable solution to improve the performance. In this paper, we propose a load‐balancing mechanism for SDN. Our approach allocates web requests to each server according to its response time and the traffic volume of the corresponding switch port. The centralized SDN controller periodically collects this information to maintain an up‐to‐date view of the load distribution among the servers, and incoming user requests are redirected to the most appropriate server. The simulation results confirm the superiority of our approach compared to several other techniques. Compared to LBBSRT, round robin, and random selection methods, our mechanism improves the average response time by 19.58%, 33.94%, and 57.41%, respectively. Furthermore, the average improvement of throughput in comparison with these algorithms is 16.52%, 29.72%, and 58.27%, respectively.

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“…Load balancing is the ability to make several servers participate in the same service and do the same work [11]. Existing cloud platforms, including AWS (Amazon Web Services), Google Cloud, Microsoft Azure, and Cloudflare, provide cost effective and reliable ways for load balancing.…”

Section: Risk-driven Service Analysis and Recoverymentioning

confidence: 99%

Framework for Enhancing Mobile Availability of RESTful Services

Lee

Chen

et al. 2015

Mobile Netw Appl

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Providing users of mobile devices uninterrupted access to web services in unstable network conditions continues to be a problem. Numerous methods for service caching have been proposed; however, most studies fail to consider two crucial factors: (1) Context of network connectivity: Smartphones are used in a variety of wireless network conditions, such as high-speed networks, unstable networks, and areas without an available network connection; and (2) Service failure handling: Current service caching mechanisms are able to deal with temporary unavailability, but they cannot handle long-time service failures or malfunctions. This paper proposes a connectivity-aware, risk-driven (CARD) approach to the delivery of RESTful services. The CARD approach is encapsulated in the form of a client-side library for use by mobile applications (apps) to invoke backend RESTful services in a highly-available manner. The CARD approach has two main features: 1) the ability to perform actions specific to the network conditions, such as the application of prefetch services and caching services when Shang-Pin Ma connected to high speed wireless networks to ensure that cached services are used for unstable wireless networks, and allowing users to request cached service responses from other users when no wireless network can be accessed.2) The proposed risk-driven analysis method enables the provision of a reasonable service recovery plan when the original service malfunctions. Experiments demonstrate that the proposed CARD approach expands the availability of service and shortens service response times under a variety of network conditions.

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An up-to-date survey in web load balancing

Cited by 44 publications

References 58 publications

Redefining Data Provider: The REST approach To solve Indonesia Lecturer administrative problems

Redefining Data Provider: The REST approach To solve Indonesia Lecturer administrative problems

SD‐WLB: AnSDN‐aided mechanism for web load balancing based on server statistics

Framework for Enhancing Mobile Availability of RESTful Services

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