Server workload analysis for power minimization using consolidation
- Journal
- USENIX Annual Technical Conference
In The Last Decade
doi.org/w5884210 →Countries where authors are citing Server workload analysis for power minimization using consolidation
This map shows the geographic impact of Server workload analysis for power minimization using consolidation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Server workload analysis for power minimization using consolidation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Server workload analysis for power minimization using consolidation more than expected).
Fields of papers citing Server workload analysis for power minimization using consolidation
This network shows the impact of Server workload analysis for power minimization using consolidation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Server workload analysis for power minimization using consolidation.
About Server workload analysis for power minimization using consolidation
This paper, published in 2009, received 278 indexed citations . Written by Akshat Verma, Gargi Dasgupta, Tapan K. Nayak, Pradipta De and Ravi Kothari covering the research area of Computer Networks and Communications and Information Systems. It is primarily cited by scholars working on Information Systems (267 citations), Computer Networks and Communications (263 citations) and Hardware and Architecture (46 citations). Published in USENIX Annual Technical Conference.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w5884210.