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Future Generation Computer Systems
Volume 78, Part 1
Future Generation Computer Systems
(FGCS)
-
Volume 78, Part 1
论文列表
点击这里查看 Future Generation Computer Systems 的JCR分区、影响因子等信息
卷期号:
Volume 78, Part 1
发布时间:
January 2018
卷期年份:
2018
卷期官网:
https://www.sciencedirect.com/journal/future-generation-computer-systems/vol/78/part/P1
本期论文列表
Editorial Board
原文链接
谷歌学术
必应学术
百度学术
ACROSS: A generic framework for attribute-based access control with distributed policies for virtual organizations
原文链接
谷歌学术
必应学术
百度学术
QoS-guaranteed resource provisioning for cloud-based MapReduce in dynamical environments
原文链接
谷歌学术
必应学术
百度学术
DARS: A dynamic adaptive replica strategy under high load Cloud-P2P
原文链接
谷歌学术
必应学术
百度学术
Signature based trouble ticket classification
原文链接
谷歌学术
必应学术
百度学术
Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments
原文链接
谷歌学术
必应学术
百度学术
A novel binary artificial bee colony algorithm for the set-union knapsack problem
原文链接
谷歌学术
必应学术
百度学术
Cloud forward: From distributed to complete computing
原文链接
谷歌学术
必应学术
百度学术
Greening cloud data centers in an economical way by energy trading with power grid
原文链接
谷歌学术
必应学术
百度学术
Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach
原文链接
谷歌学术
必应学术
百度学术
CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
原文链接
谷歌学术
必应学术
百度学术
A distributed modular platform for the development of cloud based applications
原文链接
谷歌学术
必应学术
百度学术
Managing cloud via Smart Cloud Engine and Knowledge Base
原文链接
谷歌学术
必应学术
百度学术
Reprint of “Towards a security-enhanced PaaS platform for multi-cloud applications”
原文链接
谷歌学术
必应学术
百度学术
A lightweight plug-and-play elasticity service for self-organizing resource provisioning on parallel applications
原文链接
谷歌学术
必应学术
百度学术
An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
原文链接
谷歌学术
必应学术
百度学术
Research challenges in legal-rule and QoS-aware cloud service brokerage
原文链接
谷歌学术
必应学术
百度学术
Evaluating investments in portability and interoperability between software service platforms
原文链接
谷歌学术
必应学术
百度学术
HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems
原文链接
谷歌学术
必应学术
百度学术
Competitive analysis of fundamental scheduling algorithms on a fault-prone machine and the impact of resource augmentation
原文链接
谷歌学术
必应学术
百度学术
Dynamic energy-aware scheduling for parallel task-based application in cloud computing
原文链接
谷歌学术
必应学术
百度学术
MigPF: Towards on self-organizing process rescheduling of Bulk-Synchronous Parallel applications
原文链接
谷歌学术
必应学术
百度学术
An intermediate data placement algorithm for load balancing in Spark computing environment
原文链接
谷歌学术
必应学术
百度学术
Design and implementation of energy-aware application-specific CPU frequency governors for the heterogeneous distributed computing systems
原文链接
谷歌学术
必应学术
百度学术
FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems
原文链接
谷歌学术
必应学术
百度学术
Optimized flexibility management enacting Data Centres participation in Smart Demand Response programs
原文链接
谷歌学术
必应学术
百度学术
A coral-reefs and Game Theory-based approach for optimizing elastic cloud resource allocation
原文链接
谷歌学术
必应学术
百度学术
pipsCloud: High performance cloud computing for remote sensing big data management and processing
原文链接
谷歌学术
必应学术
百度学术
Modular and generic IoT management on the cloud
原文链接
谷歌学术
必应学术
百度学术
A resource provisioning framework for bioinformatics applications in multi-cloud environments
原文链接
谷歌学术
必应学术
百度学术
Achieving high performance and privacy-preserving query over encrypted multidimensional big metering data
原文链接
谷歌学术
必应学术
百度学术
Reprint of “Multi-QoS constrained and Profit-aware scheduling approach for concurrent workflows on heterogeneous systems”
原文链接
谷歌学术
必应学术
百度学术
Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions
原文链接
谷歌学术
必应学术
百度学术
TCARS: Time- and Community-Aware Recommendation System
原文链接
谷歌学术
必应学术
百度学术
Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization
原文链接
谷歌学术
必应学术
百度学术
Query personalization using social network information and collaborative filtering techniques
原文链接
谷歌学术
必应学术
百度学术
Recommend products with consideration of multi-category inter-purchase time and price
原文链接
谷歌学术
必应学术
百度学术
FLOWER: Fusing global and local associations towards personalized social recommendation
原文链接
谷歌学术
必应学术
百度学术
DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
原文链接
谷歌学术
必应学术
百度学术