Performance analysis of data intensive cloud systems based on data management and replication: a survey

Distributed and Parallel Databases

Volumn 34, Issue 2, 2016, Pages 179-215

  Malik, Saif Ur Rehman ^a   Khan, Samee U ^b   Ewen, Sam J ^b   Tziritas, Nikos ^c   Kolodziej, Joanna ^d   Zomaya, Albert Y ^e   Madani, Sajjad A ^a   Min Allah, Nasro ^f   Wang, Lizhe ^g   Xu, Cheng Zhong ^h   Malluhi, Qutaibah Marwan ⁱ   Pecero, Johnatan E ^j   Balaji, Pavan ^k   Vishnu, Abhinav ^l   Ranjan, Rajiv ^m   Zeadally, Sherali ⁿ   Li, Hongxiang ^o  

^a COMSATS Institute of Information Technology ^*  (Pakistan)

^b NORTH DAKOTA STATE UNIVERSITY   (United States)

^c SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^d UNIVERSITY OF BIELSKO BIALA   (Poland)

^e UNIVERSITY OF SYDNEY   (Australia)

^f IMAM ABDULRAHMAN BIN FAISAL UNIVERSITY   (Saudi Arabia)

^g INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^h WAYNE STATE UNIVERSITY   (United States)

ⁱ QATAR UNIVERSITY   (Qatar)

^j UNIVERSITY OF LUXEMBOURG   (Luxembourg)

^k ARGONNE NATIONAL LABORATORY   (United States)

^l PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^m CSIRO   (Australia)

ⁿ UNIVERSITY OF THE DISTRICT OF COLUMBIA   (United States)

^o UNIVERSITY OF LOUISVILLE   (United States)

more..

Author keywords

Cloud computing systems; Data intensive computing; Data management; Performance gradation; Replication

Indexed keywords

APPLICATION PROGRAMS; CLOUD COMPUTING; COMPUTER HARDWARE DESCRIPTION LANGUAGES; DISTRIBUTED COMPUTER SYSTEMS; ENTERPRISE SOFTWARE; FAULT TOLERANCE; FAULT TOLERANT COMPUTER SYSTEMS; INDUSTRIAL RESEARCH; INFORMATION ANALYSIS; INTERNET; MOBILE DEVICES; NETWORK MANAGEMENT; QUALITY CONTROL; QUALITY OF SERVICE; SOCIAL NETWORKING (ONLINE); SOCIAL SCIENCES COMPUTING; SURVEYS;

CLOUD COMPUTING ENVIRONMENTS; CLOUD SERVICE PROVIDERS; DATA-INTENSIVE APPLICATION; DATA-INTENSIVE COMPUTING; INFORMATION AND COMMUNICATION TECHNOLOGIES; PERFORMANCE GRADATION; REPLICATION; REPLICATION APPROACHES;

INFORMATION MANAGEMENT;

EID: 84924662827     PISSN: 09268782     EISSN: 15737578     Source Type: Journal    
DOI: 10.1007/s10619-015-7173-2     Document Type: Article

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