data centers are being distributed worldwide by cloud service providers(CSPs)to save energy costs through efficient workload alloca-tion *** CSPs are challenged by the significant rise in user demands due to their ext...
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data centers are being distributed worldwide by cloud service providers(CSPs)to save energy costs through efficient workload alloca-tion *** CSPs are challenged by the significant rise in user demands due to their extensive energy consumption during workload *** research studies have examined distinct operating cost mitigation techniques for geo-distributed data centers(DCs).However,oper-ating cost savings during workload processing,which also considers string-matching techniques in geo-distributed DCs,remains *** this research,we propose a novel string matching-based geographical load balanc-ing(SMGLB)technique to mitigate the operating cost of the geo-distributed *** primary goal of this study is to use a string-matching algorithm(i.e.,Boyer Moore)to compare the contents of incoming workloads to those of documents that have already been processed in a data center.A successful match prevents the global load balancer from sending the user’s request to a data center for processing and displaying the results of the previously processed workload to the user to save *** the contrary,if no match can be discovered,the global load balancer will allocate the incoming workload to a specific DC for processing considering variable energy prices,the number of active servers,on-site green energy,and traces of incoming *** results of numerical evaluations show that the SMGLB can minimize the operating expenses of the geo-distributed data centers more than the existing workload distribution techniques.
It might be intimidating to navigate the wide array of learning resources in this era of information overload. This article presents Knowledge Navigator, an artificial intelligence (AI) system that adapts the learning...
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This document thoroughly explores the Elastic Stack, comprising Elasticsearch, Logstash, Kibana, and Beats, emphasizing its effectiveness in real-time data analysis, log handling, and visualization. It examines the es...
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The advent of social network sites increases the bullying content in textual and visual formats. Bullying content disheartened a user or community to a great extent. Also detection of cyberbullying content is a challe...
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作者：
Prasad, AjayGurung, SandeepSharma, Kalpana
Centre for Distance and Online Education Department of Computer Science and Engineering India
Department of Computer Science and Engineering Pakyong India
A form of network called a delay-tolerant network (DTN) enables wireless nodes to communicate in settings where constant end-to-end connectivity is not ensured. In-depth discussion of buffer management inside DTNs is ...
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The foundation of the applicant selection process is the candidate eligibility criteria. All applications must go through some evaluation process to get selected for a job. Without the use of a machine learning algori...
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In the realm of education, the pursuit of effective learning outcomes often faces the challenge of limited resources. This paper explores the intersection of maximizing learning outcomes and minimizing costs through a...
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By integrating smart grid technology with home energy management systems, households can monitor and optimise their energy consumption. This allows for more efficient use of energy resources, reducing waste and loweri...
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Cyberbullying is a pressing issue in the digital age, especially in non-English-speaking communities. This study focuses on using deep learning techniques to detect cyberbullying in the Bangla language. The research e...
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Network intrusion detection system (NIDS) has become a vital tool to protect information and detect attacks in computer networks. The performance of NIDSs can be evaluated by the number of detected attacks and false a...
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