The Community for Technology Leaders
Green Image
TABLE OF CONTENTS
Issue No. 06 - June (vol. 24)
ISSN: 1045-9219
EDITORIAL
SPECIAL ISSUE ON CLOUD COMPUTING

Anchor: A Versatile and Efficient Framework for Resource Management in the Cloud (Abstract)

Hong Xu , University of Toronto, Toronto
Baochun Li , University of Toronto, Toronto
pp. 1066-1076

Efficient Resource Mapping Framework over Networked Clouds via Iterated Local Search-Based Request Partitioning (Abstract)

Symeon Papavassiliou , National Technical University of Athens (NTUA), Athens
Chrysa Papagianni , National Technical University of Athens (NTUA), Athens
Aris Leivadeas , National Technical University of Athens (NTUA), Athens
pp. 1077-1086

Optimal Multiserver Configuration for Profit Maximization in Cloud Computing (Abstract)

Keqin Li , State University of New York, New Paltz
Kai Hwang , University of Southern California, Los Angeles
Junwei Cao , Tsinghua University, Beijing
Albert Y. Zomaya , University of Sydney, Sydney
pp. 1087-1096

Error-Tolerant Resource Allocation and Payment Minimization for Cloud System (Abstract)

Cho-Li Wang , The University of Hong Kong, Hong Kong
Sheng Di , The University of Hong Kong, Hong Kong
pp. 1097-1106

Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment (Abstract)

Weijia Song , Peking University, Beijing
Zhen Xiao , Peking University, Beijing
Qi Chen , Peking University, Beijing
pp. 1107-1117

Performance Enhancement for Network I/O Virtualization with Efficient Interrupt Coalescing and Virtual Receive-Side Scaling (Abstract)

Yang Zhang , Intel China Software Center, Shanghai
Dongxiao Xu , Intel China Software Center, Shanghai
YaoZu Dong , Intel China Software Center, Shanghai
RuHui Ma , Shanghai Jiao Tong University, Shanghai
HaiBing Guan , Shanghai Jiao Tong University, Shanghai
Jian Li , Shanghai Jiao Tong University, Shanghai
pp. 1118-1128

A New Disk I/O Model of Virtualized Cloud Environment (Abstract)

Bingbing Zhou , University of Sydney, Sydney
Hai Jin , Huazhong University of Science and Technology, Wuhan
Xiaofei Liao , Huazhong University of Science and Technology, Wuhan
Dingding Li , Huazhong University of Science and Technology, Wuhan
Qi Zhang , Huazhong University of Science and Technology, Wuhan
pp. 1129-1138

Improving Data Center Network Utilization Using Near-Optimal Traffic Engineering (Abstract)

Dimitrios P. Pezaros , University of Glasgow, Glasgow
Fung Po Tso , University of Glasgow, Glasgow
pp. 1139-1148

Electricity Cost Saving Strategy in Data Centers by Using Energy Storage (Abstract)

Yuguang Fang , University of Florida, Gainesville
Yuanxiong Guo , University of Florida, Gainesville
pp. 1149-1160

Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers (Abstract)

Minghua Chen , The Chinese University of Hong Kong, Hong Kong
Tan Lu , The Chinese University of Hong Kong, Hong Kong
Lachlan L.H. Andrew , Swinburne University of Technology, Hawthorn
pp. 1161-1171

Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of Linear Equations (Abstract)

Jia Wang , Illinois Institute of Technology, Chicago
Kui Ren , Illinois Institute of Technology, Chicago and The State University of New York at Buffalo
Cong Wang , Illinois Institute of Technology, Chicago
Qian Wang , Wuhan University, Wuhan and Illinois Institute of Technology, Chicago
pp. 1172-1181

Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud (Abstract)

Jingbo Yan , Xidian University, Xi'an
Boyang Wang , Xidian University, Xi'an
Yuqing Zhang , Graduate University of Chinese Academy of Science, Beijing
Xuefeng Liu , Xidian University, Xi'an
pp. 1182-1191

A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud (Abstract)

Surya Nepal , ICT Centre, CSIRO, Sydney
Jinjun Chen , University of Technology, Sydney
Suraj Pandey , IBM Research, Melbourne
Xuyun Zhang , University of Technology, Sydney
Chang Liu , University of Technology, Sydney
pp. 1192-1202

A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments (Abstract)

Thomas Fahringer , University of Innsbruck, Innsbruck
Hamid Mohammadi Fard , University of Innsbruck, Innsbruck
Radu Prodan , University of Innsbruck, Innsbruck
pp. 1203-1212

QoS Ranking Prediction for Cloud Services (Abstract)

Jianmin Wang , Sun Yat-sen University, Guangzhou
Michael R. Lyu , The Chinese University of Hong Kong, Hong Kong
Yilei Zhang , The Chinese University of Hong Kong, Hong Kong
Zibin Zheng , The Chinese University of Hong Kong, Hong Kong and Beijing University of Posts and Telecommunications, Beijing
Xinmiao Wu , Sun Yat-sen University, Guangzhou
pp. 1213-1222

Cloudy with a Chance of Cost Savings (Abstract)

Anand Sivasubramaniam , The Pennsylvania State University, University Park
Bhuvan Urgaonkar , The Pennsyvania State University, University Park
Byung Chul Tak , IBM T.J.Watson Research Center, Hawthorne
pp. 1223-1233

A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud (Abstract)

Jinjun Chen , University of Technology Sydney, Sydney
Meng Xu , Shandong University, Jinan
Lizhen Cui , Shandong University, Jinan
Xiao Liu , Swinburne University of Technology, Melbourne
Wenhao Li , Swinburne University of Technology, Melbourne
Yun Yang , Swinburne University of Technology, Melbourne
Dong Yuan , Swinburne University of Technology, Melbourne
pp. 1234-1244

Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems (Abstract)

Michael Rung-Tsong Lyu , The Chinese University of Hong Kong, Hong Kong
Yangfan Zhou , The Chinese University of Hong Kong, Shatin
Huaimin Wang , National University of Defense Technology, ChangSha
Haibo Mi , National University of Defense Technology, Changsha
Hua Cai , Alibaba Cloud Computing, Alibaba Inc., Hangzhou
pp. 1245-1255

C-MART: Benchmarking the Cloud (Abstract)

John Payne , Carnegie Mellon University, Pittsburgh
Andrew Fox , Carnegie Mellon University, Pittsburgh
Andrew Turner , Carnegie Mellon University, Pittsburgh
Hyong S. Kim , Carnegie Mellon University, Pittsburgh
pp. 1256-1266
83 ms
(Ver 3.1 (10032016))