Ausgabe 2/2019
Special Issue: AMGCC; Storage System Challenges for Big Data;Ubiquitous Multimedia System in Advanced Cluster Computing Tech ; Machine Learning Systems on Big Data and Cloud Computing ;Dynamic Clusters and Clouds for Mobile Networks ;Big Data and Smart Computing ;Challenges and Applications of Internet of Things, Big Data & Cloud
Inhalt (22 Artikel)
Optimizing communication performance in scale-out storage system
Uiseok Song, Bodon Jeong, Sungyong Park, Kwongyong Lee
Understanding the performance of storage class memory file systems in the NUMA architecture
Jangwoong Kim, Youngjae Kim, Awais Khan, Sungyong Park
Design and implementation of skiplist-based key-value store on non-volatile memory
Qichen Chen, Hyojeong Lee, Yoonhee Kim, Heon Young Yeom, Yongseok Son
Async-LCAM: a lock contention aware messenger for Ceph distributed storage system
Bodon Jeong, Awais Khan, Sungyong Park
A programmable shared-memory system for an array of processing-in-memory devices
Sangkuen Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai
Strategies for data stream mining method applied in anomaly detection
Ruxia Sun, Sun Zhang, Chunyong Yin, Jin Wang, Seungwook Min
Approximation guarantees of evolutionary optimization on the minimum crossing spanning tree problem
Jianping Zhang, Hong Zhou, Huimin Gao
A comparative study on spiking neural network encoding schema: implemented with cloud computing
Ammar Almomani, Mohammad Alauthman, Mohammed Alweshah, O. Dorgham, Firas Albalas
Flow data processing paradigm and its application in smart city using a cluster analysis approach
Xiang Zou, Jinghua Cao, Wei Sun, Quan Guo, Tao Wen
Energy-aware RAID scheduling methods in distributed storage applications
Mehdi Pirahandeh, Deok-Hwan Kim
Crowdcloud: a crowdsourced system for cloud infrastructure
Mahmood Hosseini, Constantinos Marios Angelopoulos, Wei Koong Chai, Stephane Kundig
Failure prediction using machine learning in a virtualised HPC system and application
Bashir Mohammed, Irfan Awan, Hassan Ugail, Muhammad Younas
Spark-IDPP: high-throughput and scalable prediction of intrinsically disordered protein regions with Spark clusters on the Cloud
Bożena Małysiak-Mrozek, Tomasz Baron, Dariusz Mrozek
An energy-efficient task scheduling algorithm for heterogeneous cloud computing systems
Sanjaya K. Panda, Prasanta K. Jana
General correlation coefficient based agglomerative clustering
Divya Pandove, Shivani Goel, Rinkle Rani
A real-time and reliable dynamic migration model for concurrent taskflow in a GPU cluster
Yuling Fang, Qingkui Chen
A novel water pressure change optimization technique for solving scheduling problem in cloud computing
Aida A. Nasr, Anthony T. Chronopoulos, Nirmeen A. El-Bahnasawy, Gamal Attiya, Ayman El-Sayed
TASM: technocrat ARIMA and SVR model for workload prediction of web applications in cloud
Parminder Singh, Pooja Gupta, Kiran Jyoti
Network-aware energy saving multi-objective optimization in virtualized data centers
Motassem Al-Tarazi, J. Morris Chang
A chaos-based keyed hash function based on fixed point representation
Je Sen Teh, Kaijun Tan, Moatsum Alawida