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Capacity of Clustered Distributed Storage [article]

Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon
2017 arXiv   pre-print
Capacity of the suggested model is obtained as a function of fundamental resources of distributed storage systems, namely, storage capacity, intra-cluster repair bandwidth and cross-cluster repair bandwidth  ...  A new system model reflecting the clustered structure of distributed storage is suggested to investigate bandwidth requirements for repairing failed storage nodes.  ...  Storage capacity of the clustered DSS is obtained as a function of node storage size, intra-cluster repair bandwidth and cross-cluster repair bandwidth.  ... 
arXiv:1610.04498v2 fatcat:7coh6xq3jjhclcv7akzc7xr6ii

Capacity of Clustered Distributed Storage [article]

Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon
2018 arXiv   pre-print
Capacity of the suggested model is obtained as a function of fundamental resources of distributed storage systems, namely, node storage capacity, intra-cluster repair bandwidth and cross-cluster repair  ...  A new system model reflecting the clustered structure of distributed storage is suggested to investigate interplay between storage overhead and repair bandwidth as storage node failures occur.  ...  CAPACITY OF CLUSTERED DSS A. Clustered Distributed Storage System A distributed storage system with multiple clusters is shown in Fig. 2 .  ... 
arXiv:1710.02821v2 fatcat:gg3tdff6ofgf3djgwdhqsxo3lq

Capacity of Distributed Storage Systems with Clusters and Separate Nodes [article]

Jingzhao Wang, Tinghan Wang, Yuan Luo, Kenneth W. Shum
2019 arXiv   pre-print
The capacity of DSSs is obtained as a function of node storage and repair bandwidth parameters, characterizing the tradeoff.  ...  In distributed storage systems (DSSs), the optimal tradeoff between node storage and repair bandwidth is an important issue for designing distributed coding strategies to ensure large scale data reliability  ...  The model of distributed storage system with clusters and separate nodes (CSN-DSS) As Figure 1 shows, the CSN-DSS model consists of n = LR + E storage nodes in total (L clusters and E separate nodes)  ... 
arXiv:1901.03000v1 fatcat:easmwd5d5fdnvktojwbxk6ca5e

Three-Stage Analysis of the Maximum Accommodation Capacity of a Distribution System with High Photovoltaic Penetration

Jiaqi Gu, Fei Mei, Jixiang Lu, Jinjun Lu, Jingcheng Chen, Xinmin Zhang, Limin Li
2020 Energies  
Finally, the staged control strategy of the PV inverter and energy storage is carried out to select the scheme for the sizing and siting of energy storage.  ...  Therefore, it is of great significance to evaluate the PV accommodation capacity of a distribution network and to select an appropriate PV accommodation scheme.  ...  Since scheme 6 has more energy storage capacity configurations, coordinated work among nodes can increase the power consumption capacity of the distribution network.  ... 
doi:10.3390/en13174325 fatcat:m7huqvccd5awxkmb3scav2wisq

Clustered Storage

Dmitry Tkachev
2007 Spring Young Researchers Colloquium on Databases and Information Systems  
This paper discusses the trends that clearly define clustered storage architectures as the future of data storage, detail the requirements of this new category of storage, and introduce the Isilon® IQ  ...  Clustered Storage architectures are changing the rules of how data is stored and accessed.  ...  Isilon IQ: Scalable Distributed File System At the heart of Isilon's clustered storage solution is Isilon's OneFS® patented distributed file system.  ... 
dblp:conf/syrcodis/Tkachev07 fatcat:lc5qjyzbrrdkrnfm3lji2vqhy4

A Novel Dynamic Peer-to-Peer Clustering Algorithm and Its Application to Aggregate Energy Storage Systems [article]

Runfan Zhang, Branislav Hredzak
2019 arXiv   pre-print
In the second application, the algorithm is used to form a virtual energy storage from batteries distributed in a microgrid.  ...  The algorithm reduces the power losses by clustering the batteries based on the selected feature states: local loads and battery capacities, while the state of charges and output voltages are selected  ...  It is assumed that the utility company provides required energy storage capacity (virtual energy storage) and its price to be formed from distributed BESSs.  ... 
arXiv:1901.10029v1 fatcat:pxtqvnvg6vhldaqrjplakr4mau

Design and implementation of a storage management method for content distribution

Chang Soo Kim, Yu Hyun Bak, Sang Min Woo, Won Jae Lee, Ok Gee Min, Hag Young Kim
2006 2006 8th International Conference Advanced Communication Technology  
With this storage management mechanism, the SMART server can provide effectiveness in managing storage and distributing some contents from a source station to streaming service servers.  ...  However all of the multimedia contents to be serviced cannot be stored at the server. In this paper, we will describe the storage management mechanism in design and implementation aspects.  ...  The 'Current' field represents current amount of storage for each NS on each node in a cluster.  ... 
doi:10.1109/icact.2006.206173 fatcat:obtiyqx2avf5vbj2deu2jdq6y4

Secure Clustered Distributed Storage Against Eavesdroppers [article]

Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon
2017 arXiv   pre-print
This paper considers the security issue of practical distributed storage systems (DSSs) which consist of multiple clusters of storage nodes.  ...  Noticing that actual storage nodes constituting a DSS are distributed in multiple clusters, two novel eavesdropper models - the node-restricted model and the cluster-restricted model - are suggested which  ...  (Node-restricted eavesdropper : upper bound of secrecy capacity with maximum helper nodes) For a clustered distributed storage system D(n, k) with L c ≤ L compromised clusters, the secrecy capacity C s  ... 
arXiv:1702.07498v1 fatcat:ijrbojurlbgwlbsqzf2bx5yomi

Management of Data Replication for PC Cluster Based Cloud Storage System

Julia Myint, Thinn Thu Naing
2011 International Journal on Cloud Computing Services and Architecture  
Data objects are distributed and replicated in a cluster of commodity nodes located in the cloud.  ...  The experimental results show that storage can be balanced depending on the available disk space, expected availability and failure probability of each node in PC cluster.  ...  Storage Utilization over the Cluster Storage utilization is defined as the percentage of storage over total storage capacity of data node.  ... 
doi:10.5121/ijccsa.2011.1303 fatcat:hwghojpdbjhnnn43bmjszbuy3a

Two-mode data distribution scheme for heterogeneous storage in data centers

Wei Xie, Jiang Zhou, Mark Reyes, Jason Noble, Yong Chen
2015 2015 IEEE International Conference on Big Data (Big Data)  
Data are striped and distributed across the storage cluster based on distribution algorithms instead of mapping tables.  ...  In order to support cloud-scale data centers, new types of distributed storage systems are emerging.  ...  If the degree of imbalance across the cluster exceeds a certain threshold, the capacity mode must be forced until the cluster reaches a certain degree of balance.  ... 
doi:10.1109/bigdata.2015.7363772 dblp:conf/bigdataconf/XieZRNC15 fatcat:tbjtqwugzve3rosr4qbwjjftxm

On the Performance of the Spotify Backend

Rerngvit Yanggratoke, Gunnar Kreitz, Mikael Goldmann, Rolf Stadler, Viktoria Fodor
2013 Journal of Network and Systems Management  
We model and evaluate the performance of a distributed key-value storage system that is part of the Spotify backend.  ...  In addition, we model the capacity of the Spotify storage system under different object allocation policies and find that measurements on our testbed are within 9% of the model predictions.  ...  In this section, we develop and validate a model for the capacity of a storage cluster using two different allocation policies.  ... 
doi:10.1007/s10922-013-9292-2 fatcat:uhgbv3gmi5bjnnbfrumelffp5a

ASURA: Scalable and Uniform Data Distribution Algorithm for Storage Clusters [article]

Ken-ichiro Ishikawa
2017 arXiv   pre-print
The comparison results show benefits of each algorithm; they show that ASURA has advantage in large scale-out storage clusters.  ...  Large-scale storage cluster systems need to manage a vast amount of data locations. A naive data locations management maintains pairs of data ID and nodes storing the data in tables.  ...  There are two types of managing technologies: storage cluster technology and distributed storage system (peerto-peer (P2P) system).  ... 
arXiv:1309.7720v2 fatcat:bajkwfqqfvgcxgmaak3al4crh4

A quasi-automated generation control strategy for multiple energy storage systems to optimize low-carbon benefits

Gangui YAN, Xudong ZHENG, Gang MU, Junhui LI, Yang CUI, Yue WANG
2015 Journal of Modern Power Systems and Clean Energy  
The effectiveness of QAGC is demonstrated by using data from an actual gigawatt scale cluster of wind plants.  ...  are used to smooth the fluctuations in individual wind power plants in a distributed pattern.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s40565-015-0098-y fatcat:gy2hq6vgkrewfgmwtnjxe3cr5q

Implementation of Effective Data Emplacement Algorithm in Heterogeneous Cloud Environment

S. Annapoorani, B. Srinivasan
2019 Asian Journal of Computer Science and Technology  
The adaptability of the proposed model can be obtained by minimizing the time with processing efficiency through the computing capacity of each node in the cluster.  ...  The proposed solution improves the performance of the heterogeneous cluster environment by effectively distributing data based on the performance oriented sampling as the experimental results made with  ...  It assumes that each node computing and storage capacity are equal in the homogeneous cluster environment. Each and every node is assigned by the same workload in all the clusters.  ... 
doi:10.51983/ajcst-2019.8.s1.1944 fatcat:wdbjgx4ikjdsbjkzcio2vzbiyy

An efficient dynamic indexing and metadata based storage in cloud environment

S. Anjanadevi, D. Vijayakumar, K.G. Srinivasagan
2014 2014 International Conference on Recent Trends in Information Technology  
Instead of operating their own data centers, users might rent computing power and storage capacity from a service provider, paying only for what they use.  ...  When designing the metadata, the storage location of the metadata and attributes is important for the efficient retrieval of the data.  ...  Therefore, storage capacity of the server can be increased depending on the number of node in PC cluster. The average storage capacity of PC cluster based storage server is shown in Fig. 6 .  ... 
doi:10.1109/icrtit.2014.6996151 fatcat:mo33yt2e6ra2ncsf2alpgrgutm
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