Titlebook: Distributed Computing and Internet Technology; 12th International C Nikolaj Bj?rner,Sanjiva Prasad,Laxmi Parida Conference proceedings 2016

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書目名稱Distributed Computing and Internet Technology影響因子(影響力)




書目名稱Distributed Computing and Internet Technology影響因子(影響力)學(xué)科排名




書目名稱Distributed Computing and Internet Technology網(wǎng)絡(luò)公開度




書目名稱Distributed Computing and Internet Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Computing and Internet Technology被引頻次




書目名稱Distributed Computing and Internet Technology被引頻次學(xué)科排名




書目名稱Distributed Computing and Internet Technology年度引用




書目名稱Distributed Computing and Internet Technology年度引用學(xué)科排名




書目名稱Distributed Computing and Internet Technology讀者反饋




書目名稱Distributed Computing and Internet Technology讀者反饋學(xué)科排名

MARS

Attacks in the Resource-as-a-Service (RaaS) Cloud Contextbe taken in real time by automatic agents. Does the economic angle introduce new vulnerabilities? Can old vulnerabilities be exploited on RaaS clouds from different angles? How should RaaS clouds be designed to protect them from attacks? In this survey we analyze relevant literature in view of RaaS

夸張

Adrenal-Glands

HiRE - A Heuristic Approach for User Generated Record Extractionof their record structure, so that after the content is extracted, proper filtering mechanisms can be applied to eliminate the noises. Hence, record structure identification is an important prerequisite step for text analytics. Most of the existing record structure identification techniques search f

努力趕上

Optimization of Service Rate in a Discrete-Time Impatient Customer Queue Using Particle Swarm Optimibiologically inspired optimization technique mimicking the behavior of birds flocking or fish schooling is implemented to determine the optimum service rate that minimizes the total expected cost function per unit time. A potential application of the considered queueing problem in an inbound email c

arsenal

arsenal

Influential Degree Heuristic for RankedReplace Algorithm in Social Networkshavani [.] proposed incorporating greedy selection in the initialization step of . algorithm of Charu Aggarwal et al. which would speed up the algorithm. We propose to improve this algorithm further by considering novel heuristic called . for selection of the initial set. The experiments are carried

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蟄伏

Storage Load Control Through Meta-Scheduler Using Predictive Analyticsgabytes to Exabytes of data has led to saturation of I/O performance on the storage system. This paper provides an insight on the load controlling capability on the storage system through learning algorithms in a Grid Computing environment. Storage load control driven by meta schedulers and the effe

智力高