A survey on data storage and placement methodologies for cloud-big data ecosystem
Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …
A data placement strategy in scientific cloud workflows
In scientific cloud workflows, large amounts of application data need to be stored in
distributed data centres. To effectively store these data, a data manager must intelligently …
distributed data centres. To effectively store these data, a data manager must intelligently …
[PDF][PDF] Task scheduling optimization in cloud computing based on heuristic algorithm
L Guo, S Zhao, S Shen, C Jiang - Journal of networks, 2012 - tarjomefa.com
Cloud computing is an emerging technology and it allows users to pay as you need and has
the high performance. Cloud computing is a heterogeneous system as well and it holds …
the high performance. Cloud computing is a heterogeneous system as well and it holds …
Power-reduction techniques for data-center storage systems
As data-intensive, network-based applications proliferate, the power consumed by the data-
center storage subsystem surges. This survey summarizes, organizes, and integrates a …
center storage subsystem surges. This survey summarizes, organizes, and integrates a …
MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster
SQ Long, YL Zhao, W Chen - Journal of Systems Architecture, 2014 - Elsevier
Effective data management is an important issue for a large-scale distributed environment
such as data cloud. This can be achieved by using file replication, which efficiently reduces …
such as data cloud. This can be achieved by using file replication, which efficiently reduces …
AMTS: Adaptive multi-objective task scheduling strategy in cloud computing
Task scheduling in cloud computing environments is a multi-objective optimization problem,
which is NP hard. It is also a challenging problem to find an appropriate trade-off among …
which is NP hard. It is also a challenging problem to find an appropriate trade-off among …
Adaptive data replication strategy in cloud computing for performance improvement
N Mansouri - Frontiers of Computer Science, 2016 - Springer
Cloud computing is becoming a very popular word in industry and is receiving a large
amount of attention from the research community. Replica management is one of the most …
amount of attention from the research community. Replica management is one of the most …
DPPDL: a dynamic partial-parallel data layout for green video surveillance storage
Z Sun, Q Zhang, Y Li, Y Tan - … on Circuits and Systems for Video …, 2016 - ieeexplore.ieee.org
Video surveillance requires storing massive amounts of video data, which results in the
rapid increasing of storage energy consumption. With the popularization of video …
rapid increasing of storage energy consumption. With the popularization of video …
[책][B] Texture hardware assisted rendering of time-varying volume data
In this paper we present a hardware-assisted rendering technique coupled with a
compression scheme for the interactive visual exploration of time-varying scalar volume …
compression scheme for the interactive visual exploration of time-varying scalar volume …
CSEA: a fine-grained framework of climate-season-based energy-aware in cloud storage systems
Z Yuan, X Lv, P **e, H Ge, X You - The Computer Journal, 2024 - academic.oup.com
Continuous data scale growth increases energy consumption and operating cost that cannot
be ignored in cloud storage systems. Previous studies have shown that analyzing the …
be ignored in cloud storage systems. Previous studies have shown that analyzing the …