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Journal articles on the topic 'Persistent Storage'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

O.Pandithurai, Et al. "Data Persistence Storage in VMs Cloud-Based Software." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2 (2023): 194–97. http://dx.doi.org/10.17762/ijritcc.v11i2.9831.

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The virtual machine data persistence storage method in a cloud environment addresses the challenge of persistent storage for user data in cloud computing systems. This paper proposes a system and method that enables the creation and expansion of block devices for virtual machines. The method involves a major node receiving user requests, determining whether it is a block device creation or expansion request, and executing the appropriate steps. The major node interacts with storage nodes to create logical volumes and register them as block device services. By implementing this method, the issu

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2

Iyengar, Arun, Shudong Jin, and Jim Challenger. "Techniques for efficiently allocating persistent storage." Journal of Systems and Software 68, no. 2 (2003): 85–102. http://dx.doi.org/10.1016/s0164-1212(02)00141-3.

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3

Cockshott, WP. "Persistent programming and secure data storage." Information and Software Technology 29, no. 5 (1987): 249–56. http://dx.doi.org/10.1016/0950-5849(87)90345-4.

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4

Khoshafian, Setrag, Michael J. Franklin, and Michael J. Carey. "Storage management for persistent complex objects." Information Systems 15, no. 3 (1990): 303–20. http://dx.doi.org/10.1016/0306-4379(90)90003-8.

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5

Bhosale, Pradeep. "Deploying Stateful Applications in Kubernetes: Best Practices with StatefulSets." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41457.

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As container orchestration transitions from experimental deployments to mission-critical, large-scale operations, running stateful workloads in Kubernetes becomes a pressing topic. Historically, Kubernetes excelled at stateless microservices, quickly scaling ephemeral pods. However, many real-world systems rely on persistent data; databases, caches, key-value stores, and distributed queues. StatefulSets are a Kubernetes feature specifically designed to handle pods requiring stable identities, ordered startup, and persistent storage. Deploying these stateful applications demands nuanced archite

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Ha, Minjong, and Sang-Hoon Kim. "InK: In-Kernel Key-Value Storage with Persistent Memory." Electronics 9, no. 11 (2020): 1913. http://dx.doi.org/10.3390/electronics9111913.

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Block-based storage devices exhibit different characteristics from main memory, and applications and systems have been optimized for a long time considering the characteristics in mind. However, emerging non-volatile memory technologies are about to change the situation. Persistent Memory (PM) provides a huge, persistent, and byte-addressable address space to the system, thereby enabling new opportunities for systems software. However, existing applications are usually apt to indirectly utilize PM as a storage device on top of file systems. This makes applications and file systems perform unne

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Noon, Nan, Janusz Getta, and Tianbing Xia. "Optimization of Parallel Data Transfers in Multi-Tiered Persistent Storage." American Journal of Information Science and Technology 8, no. 3 (2024): 84–97. http://dx.doi.org/10.11648/j.ajist.20240803.14.

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A logical model of multi-tiered persistent storage provides a view of data where all available storage resources are distributed over a number of levels depending on the data transfer parameters and capacities. The efficient parallelization of data transfers in multi-tiered persistent storage is a significant challenge for a pipelined data processing model. This work examines a category of database applications implemented as sequences of operations that transfer data between the levels of multi-tiered persistent storage. The concept of EPN: Extended Petri Nets represents how database applicat

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8

Dissanayake, A. S., S. X. Huang, H. X. Jiang, and J. Y. Lin. "Charge storage and persistent photoconductivity in aCdS0.5Se0.5semiconductor alloy." Physical Review B 44, no. 24 (1991): 13343–48. http://dx.doi.org/10.1103/physrevb.44.13343.

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9

Baldassin, Alexandro, João Barreto, Daniel Castro, and Paolo Romano. "Persistent Memory." ACM Computing Surveys 54, no. 7 (2021): 1–37. http://dx.doi.org/10.1145/3465402.

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The recent rise of byte-addressable non-volatile memory technologies is blurring the dichotomy between memory and storage. In particular, they allow programmers to have direct access to persistent data instead of relying on traditional interfaces, such as file and database systems. However, they also bring new challenges, as a failure may render the program in an unrecoverable and inconsistent state. Consequently, a lot of effort has been put by both industry and academia into making the task of programming with such memories easier while, at the same time, efficient from the runtime perspecti

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10

Ross, Kenneth A. "Technical Perspective." ACM SIGMOD Record 50, no. 1 (2021): 86. http://dx.doi.org/10.1145/3471485.3471505.

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Byte-addressable persistent memory was considered in the data management community as long ago as 1986. Thatte saw the advantages for programmability in unifying the abstractions of byte-addressable RAM with persistence [2]. Thatte's context was object-oriented databases containing a variety data structures that would be awkward to transform into the block-oriented abstractions provided by typical secondary storage. Thatte's proposed physical instantiation of persistent memory was a disk-backed device, although it is unclear whether such a device was ever built. Thatte recognized the importanc

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11

Yan, Baoyue, Xuntao Cheng, Bo Jiang, et al. "Revisiting the design of LSM-tree Based OLTP storage engine with persistent memory." Proceedings of the VLDB Endowment 14, no. 10 (2021): 1872–85. http://dx.doi.org/10.14778/3467861.3467875.

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The recent byte-addressable and large-capacity commercialized persistent memory (PM) is promising to drive database as a service (DBaaS) into unchartered territories. This paper investigates how to leverage PMs to revisit the conventional LSM-tree based OLTP storage engines designed for DRAM-SSD hierarchy for DBaaS instances. Specifically we (1) propose a light-weight PM allocator named Hal-loc customized for LSM-tree, (2) build a high-performance Semi-persistent Memtable utilizing the persistent in-memory writes of PM, (3) design a concurrent commit algorithm named Reorder Ring to aschieve lo

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12

Paligu, Furkan, and Cihan Varol. "Browser Forensic Investigations of Instagram Utilizing IndexedDB Persistent Storage." Future Internet 14, no. 6 (2022): 188. http://dx.doi.org/10.3390/fi14060188.

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Social media usage is increasing at a rapid rate. Everyday users are leaving a substantial amount of data as artifacts in these applications. As the size and velocity of data increase, innovative technologies such as Web Storage and IndexedDB are emerging. Consequently, forensic investigators are facing challenges to adapt to the emerging technologies to establish reliable techniques for extracting and analyzing suspect information. This paper investigates the convenience and efficacy of performing forensic investigations with a time frame and social network connection analysis on IndexedDB te

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13

Beck, Bob, and Steve Hartley. "Persistent storage for a workflow tool implemented in Smalltalk." ACM SIGPLAN Notices 29, no. 10 (1994): 373–87. http://dx.doi.org/10.1145/191081.191140.

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14

Chen, Dong, Xianhong Rui, Qi Zhang, et al. "Persistent zinc-ion storage in mass-produced V2O5 architectures." Nano Energy 60 (June 2019): 171–78. http://dx.doi.org/10.1016/j.nanoen.2019.03.034.

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15

吴, 颂. "Recognition Method of COSMIC Measurement in the Persistent Storage." Software Engineering and Applications 05, no. 01 (2016): 22–28. http://dx.doi.org/10.12677/sea.2016.51003.

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16

Noon, Nan Noon, Janusz R. Getta, and Tianbing Xia. "Optimization of Query Processing on Multi-tiered Persistent Storage." Advances in Science, Technology and Engineering Systems Journal 7, no. 6 (2022): 20–30. http://dx.doi.org/10.25046/aj070603.

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17

Benson, Lawrence, Hendrik Makait, and Tilmann Rabl. "Viper." Proceedings of the VLDB Endowment 14, no. 9 (2021): 1544–56. http://dx.doi.org/10.14778/3461535.3461543.

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Key-value stores (KVSs) have found wide application in modern software systems. For persistence, their data resides in slow secondary storage, which requires KVSs to employ various techniques to increase their read and write performance from and to the underlying medium. Emerging persistent memory (PMem) technologies offer data persistence at close-to-DRAM speed, making them a promising alternative to classical disk-based storage. However, simply drop-in replacing existing storage with PMem does not yield good results, as block-based access behaves differently in PMem than on disk and ignores

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18

Longfield, Robert N., L. Patrick Smith, Jenice N. Longfield, Jacqueline Coberly, and David Cruess. "Multiple-Dose Vials: Persistence of Bacterial Contaminants and Infection Control Implications." Infection Control 6, no. 5 (1985): 194–99. http://dx.doi.org/10.1017/s0195941700061415.

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AbstractDue to sporadic infections attributed to contaminated multiple-dose medication vials (MDV), some authorities have suggested discarding all MDV within 24 hours. We inoculated 11 commonly used medications with suspensions of 10 bacterial species previously associated with contaminated parenteral solutions and determined microbial persistence at both room and refrigerator temperature. At 22°C, atropine, curare, folic acid, NPH insulin and triamcinolone did not allow microbial persistence beyond 4 hours. Lidocaine and heparin were sterile by 24 hours. Regular insulin, immune serum globulin

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19

SUN, SHULIN, and XIAOFENG ZHANG. "ASYMPTOTIC BEHAVIOR OF A STOCHASTIC DELAYED CHEMOSTAT MODEL WITH NUTRIENT STORAGE." Journal of Biological Systems 26, no. 02 (2018): 225–46. http://dx.doi.org/10.1142/s0218339018500110.

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In this paper, a stochastic delayed chemostat model with nutrient storage is proposed and investigated. First, we state that there is a unique global positive solution for this stochastic system. Second, using the classical approach of Lyapunov function analysis, this stochastic delayed chemostat model is discussed in detail. We establish some sufficient conditions for the extinction of the microorganism, furthermore, we prove that the microorganism will become persistent in the mean in the chemostat under some conditions. Finally, the obtained results are illustrated by computer simulations,

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20

Zhang, Jingyuan, Ao Wang, Xiaolong Ma, et al. "InfiniStore: Elastic Serverless Cloud Storage." Proceedings of the VLDB Endowment 16, no. 7 (2023): 1629–42. http://dx.doi.org/10.14778/3587136.3587139.

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Cloud object storage such as AWS S3 is cost-effective and highly elastic but relatively slow, while high-performance cloud storage such as AWS ElastiCache is expensive and provides limited elasticity. We present a new cloud storage service called ServerlessMemory, which stores data using the memory of serverless functions. ServerlessMemory employs a sliding-window-based memory management strategy inspired by the garbage collection mechanisms used in the programming language to effectively segregate hot/cold data and provides fine-grained elasticity, good performance, and a pay-per-access cost

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21

Wang, Weili, Shao Yan, Yanjie Liang, et al. "A red-light-chargeable near infrared MgGeO₃:Mn²⁺,Yb³⁺ persistent phosphor for bioimaging and optical information storage applications." Inorganic Chemistry Frontiers 8, no. 24 (2021): 5149–57. http://dx.doi.org/10.1039/d1qi01158h.

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An NIR-emitting MgGeO3:Mn2+,Yb3+ persistent phosphor chargeable with red light has been developed. The features of red-light charging and NIR persistent luminescence make this phosphor hold great potential for biomedical imaging and optical data storage.

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22

Cheng, Wen, Chunyan Li, Lingfang Zeng, Yingjin Qian, Xi Li, and André Brinkmann. "NVMM-Oriented Hierarchical Persistent Client Caching for Lustre." ACM Transactions on Storage 17, no. 1 (2021): 1–22. http://dx.doi.org/10.1145/3404190.

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In high-performance computing (HPC), data and metadata are stored on special server nodes and client applications access the servers’ data and metadata through a network, which induces network latencies and resource contention. These server nodes are typically equipped with (slow) magnetic disks, while the client nodes store temporary data on fast SSDs or even on non-volatile main memory (NVMM). Therefore, the full potential of parallel file systems can only be reached if fast client side storage devices are included into the overall storage architecture. In this article, we propose an NVMM-ba

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23

Abed Abud, Adam, Matias Bonaventura, Edoardo Farina, and Fabrice Le Goff. "Design of a Resilient, High-Throughput, Persistent Storage System for the ATLAS Phase-II DAQ System." EPJ Web of Conferences 251 (2021): 04014. http://dx.doi.org/10.1051/epjconf/202125104014.

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The ATLAS experiment will undergo a major upgrade to take advantage of the new conditions provided by the upgraded High-Luminosity LHC. The Trigger and Data Acquisition system (TDAQ) will record data at unprecedented rates: the detectors will be read out at 1 MHz generating around 5 TB/s of data. The Dataflow system (DF), component of TDAQ, introduces a novel design: readout data are buffered on persistent storage while the event filtering system analyses them to select 10000 events per second for a total recorded throughput of around 60 GB/s. This approach allows for decoupling the detector a

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24

Chandanpurkar, Hrishikesh A., John T. Fasullo, John T. Reager, Robert S. Nerem, and James S. Famiglietti. "Asymmetric Response of Land Storage to ENSO Phase and Duration." Water 11, no. 11 (2019): 2249. http://dx.doi.org/10.3390/w11112249.

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Emergence of global mean sea level (GMSL) from a ‘hiatus’ following a persistent La Niña highlights the need to understand the causes of interannual variability in GMSL. Several studies link interannual variability in GMSL to anomalous transport of water mass between land and ocean—and subsequent changes in water storage in these reservoirs—primarily driven by El Niño/Southern Oscillation (ENSO). Despite this, asymmetries in teleconnections between ENSO mode and land water storage have received less attention. We use historical simulations of natural climate variability to characterize asymmet

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Nisheedh Raveendran. "Comparative Evaluation of Persistent vs. In-Memory Stream Exchange in Big Data Systems: A Technical Review." Journal of Computer Science and Technology Studies 7, no. 7 (2025): 172–82. https://doi.org/10.32996/jcsts.2025.7.7.15.

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Modern distributed data processing frameworks face critical architectural decisions regarding intermediate data handling mechanisms between processing stages. This technical review examines the fundamental trade-offs between persistent stream storage and in-memory stream exchange strategies across diverse operational scenarios. The evaluation encompasses performance characteristics, fault tolerance capabilities, resource utilization patterns, and scalability considerations within contemporary big data processing environments. Results demonstrate that in-memory stream exchange delivers superior

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26

Ma, Ruizhe, Weiwei Zhou, and Zongmin Ma. "An Efficient NoSQL-Based Storage Schema for Large-Scale Time Series Data." Journal of Database Management 35, no. 1 (2024): 1–21. http://dx.doi.org/10.4018/jdm.339915.

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In IoT (internet of things), most data from the connected devices change with time and have sampling intervals, which are called time-series data. It is challenging to design a time series storage model that can write massive time-series data in a short time and can query and analyze the persistent time-series data for a long time. This paper constructs the RHTSDB (Redis-HBase Time Series Database) storage model based on Redis and HBase. RHTSDB uses the memory database Redis (Remote Dictionary Server) to cache massive time-series data, providing efficient data storage and query functions. HBas

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27

Paligu, Furkan, and Cihan Varol. "Browser Forensic Investigations of WhatsApp Web Utilizing IndexedDB Persistent Storage." Future Internet 12, no. 11 (2020): 184. http://dx.doi.org/10.3390/fi12110184.

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Digital Evidence is becoming an indispensable factor in most legal cases. However, technological advancements that lead to artifact complexity, are forcing investigators to create sophisticated connections between the findings and the suspects for admissibility of evidence in court. This paper scrutinizes whether IndexedDB, an emerging browser technology, can be a source of digital evidence to provide additional and correlating support for traditional investigation methods. It particularly focuses on the artifacts of the worldwide popular application, WhatsApp. A single case pretest–posttest q

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Rowstron, Antony, and Peter Druschel. "Storage management and caching in PAST, a large-scale, persistent peer-to-peer storage utility." ACM SIGOPS Operating Systems Review 35, no. 5 (2001): 188–201. http://dx.doi.org/10.1145/502059.502053.

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29

Restiawaty, Elvi, Yazid Bindar, Christian Aslan, and Alif Lutfia Masduqi. "Mercury Elemental Storage Tank Design." Reaktor 20, no. 2 (2020): 57–67. http://dx.doi.org/10.14710/reaktor.20.2.57-67.

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Mercury is a liquid metal that has properties such as toxic, persistent, bioaccumulating, and its vapor can spread around sources so that it is harmful to humans. Despite having dangerous properties, mercury is found in some goods, products, and also waste. Mercury is indicated to be used in several industries, such as artisanal and small-scale gold mining and coal-fired steam power plants. Based on health and environmental considerations, mercury must ultimately be removed from the eco cycle. Mercury storage systems in the long term must be solved so that sustainable development for future ge

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30

TAO, Jun. "Design of the persistent redundancy storage scheme in P2P environment." Journal of Computer Applications 28, no. 3 (2008): 742–44. http://dx.doi.org/10.3724/sp.j.1087.2008.00742.

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31

Gruttola, M. De, S. Di Guida, D. Futyan, et al. "Persistent storage of non-event data in the CMS databases." Journal of Instrumentation 5, no. 04 (2010): P04003. http://dx.doi.org/10.1088/1748-0221/5/04/p04003.

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32

Hattori, Toshiaki, Sadao Uemura, and Hiroki Nakatsuka. "Spatially parallel picosecond optical data storage using persistent hole burning." Optics Communications 92, no. 4-6 (1992): 225–28. http://dx.doi.org/10.1016/0030-4018(92)90626-3.

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33

Ruus, Anders, Ian J. Allan, Kine Bæk, and Katrine Borgå. "Partitioning of persistent hydrophobic contaminants to different storage lipid classes." Chemosphere 263 (January 2021): 127890. http://dx.doi.org/10.1016/j.chemosphere.2020.127890.

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34

Koutsoukos, Dimitrios, Raghav Bhartia, Michal Friedman, Ana Klimovic, and Gustavo Alonso. "NVM: Is it Not Very Meaningful for Databases?" Proceedings of the VLDB Endowment 16, no. 10 (2023): 2444–57. http://dx.doi.org/10.14778/3603581.3603586.

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Persistent or Non Volatile Memory (PMEM) offers expanded memory capacity and faster access to persistent storage. However, there is no comprehensive empirical analysis of existing database engines under different PMEM modes, to understand how databases can benefit from the various hardware configurations. To this end, we analyze multiple different engines under common benchmarks with PMEM in AppDirect mode and Memory mode. Our results show that PMEM in Memory mode does not offer any clear performance advantage despite the larger volatile memory capacity. Also, using PMEM as persistent storage

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35

Gao, Qingqing, Chenlin Li, Yichun Liu, Jiahua Zhang, Xiao-jun Wang, and Feng Liu. "Manipulating trap filling of persistent phosphors upon illumination by using a blue light-emitting diode." Journal of Materials Chemistry C 8, no. 21 (2020): 6988–92. http://dx.doi.org/10.1039/d0tc01427c.

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36

Maiyya, Sujaya, Sharath Chandra Vemula, Divyakant Agrawal, Amr El Abbadi, and Florian Kerschbaum. "Waffle: An Online Oblivious Datastore for Protecting Data Access Patterns." Proceedings of the ACM on Management of Data 1, no. 4 (2023): 1–25. http://dx.doi.org/10.1145/3626760.

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We present Waffle, a datastore that protects an application's data access patterns from a passive persistent adversary. Waffle achieves this without prior knowledge of the input data access distribution, making it the first of its kind to adaptively handle input sequences under a passive persistent adversary. Waffle maintains a constant bandwidth and client-side storage overhead, which can be adjusted to suit the application owner's preferences. This flexibility allows the owner to fine-tune system parameters and strike a balance between security and performance. Our evaluation, utilizing the

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De Clercq, Olivier Q., Jiaren Du, Philippe F. Smet, Jonas J. Joos, and Dirk Poelman. "Predicting the afterglow duration in persistent phosphors: a validated approach to derive trap depth distributions." Physical Chemistry Chemical Physics 20, no. 48 (2018): 30455–65. http://dx.doi.org/10.1039/c8cp06139d.

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Zhuang Yixi, 庄逸熙, 陈敦榕 Chen Dunrong та 解荣军 Xie Rongjun. "面向光学信息存储应用的深陷阱长余辉发光材料". Laser & Optoelectronics Progress 58, № 15 (2021): 1516001. http://dx.doi.org/10.3788/lop202158.1516001.

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Rahman, Md Obaidur, Isteaq Ahmed Shameem, Md Waliul Islam, Mohammad Faruk Hossain Sheikh, BM Saiduzzaman, and Tanuwar Islam Chowdhury. "Prediction of Persistent Storage Symptoms after Transurethral Resection of Prostate in Patients with Benign Enlargement of Prostate." Bangladesh Journal of Urology 24, no. 2 (2022): 135–40. http://dx.doi.org/10.3329/bju.v24i2.59484.

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Introduction: Benign enlargement of prostate (BEP) is one of the common problem in elderly male. Most of the patients present with lower urinary tract symptoms (LUTS) which consist of voiding symptoms and storage symptoms. Transurethral resection of prostate (TURP) is the gold standard treatment option for BEP. TURP improves both obstructive and storage symptoms in majority of cases. But sometimes storage symptoms persist after TURP. This study was done to predict the factors for persistence of storage symptoms after TURP by evaluating clinical and urodynamic variables. Objective: To predict t

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Miranda de Carvalho, José, David Van der Heggen, Lisa I. D. J. Martin, and Philippe F. Smet. "Microwave-assisted synthesis followed by a reduction step: making persistent phosphors with a large storage capacity." Dalton Transactions 49, no. 14 (2020): 4518–27. http://dx.doi.org/10.1039/d0dt00416b.

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Burceanu, Elena, Ciprian Dobre, and Valentin Cristea. "Adaptive Distributed Data Storage for Context-Aware Applications." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2013): 58–69. http://dx.doi.org/10.26636/jtit.2013.4.1240.

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Context-aware computing is a paradigm that relies on the active use of information coming from a variety of sources, ranging from smartphones to sensors. The paradigm usually leads to storing large volumes of data that need to be processed to derive higher-level context information. The paper presents a cloud-based storage layer for managing sensitive context data. To handle the storage and aggregation of context data for context-aware applications, Clouds are perfect candidates. But a Cloud platform for context-aware computing needs to cope with several requirements: high concurrent access (a

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42

Ma, Xilin, Peng Feng, Yajie Wang, Songsong Ding, Songlu Tian, and Yuhua Wang. "Design of efficient color-tunable long persistent luminescence phosphor BaGa₂O₄:Pr³⁺ and its performance enhancement via a trap-induced strategy." Journal of Materials Chemistry C 10, no. 3 (2022): 1105–17. http://dx.doi.org/10.1039/d1tc04763a.

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43

Zeng, Feng Sheng. "Research and Improvement of Database Storage Method." Applied Mechanics and Materials 608-609 (October 2014): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.641.

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This paper presents a massive data storage and parallel processing method based on MPP architecture, and put forward full persistent data storage way from the client to request, and the integration the idea of Map/Reduce, the system will be distributed to each data node, the data has high scalability, high availability, high concurrency. And the simulation test and verifies the feasibility of mass data storage mode by building a distributed data node.

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44

Koopmans, Roelof. "Combining energy harvesting and storage on thin film." OPE Journal 14, no. 49 (2024): 16–17. http://dx.doi.org/10.51202/2366-8040-2024-49-016.

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The proliferation of low-power electronics and devices underscores a persistent issue: ensuring a consistent and sustainable power supply, particularly in low-light conditions. As the demand for flexible, lightweight and eco-friendly components grows, innovations that push the boundaries of technology and sustainability become essential, says Roelof Koopmans, Vice President Business Development of Dracula Technologies.

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Pinn, Toby L., Thomas J. Divers, Teresa Southard, Nikhita P. De Bernardis, Joe J. Wakshlag, and Stephanie Valberg. "Persistent hypoglycemia associated with lipid storage myopathy in a paint foal." Journal of Veterinary Internal Medicine 32, no. 4 (2018): 1442–46. http://dx.doi.org/10.1111/jvim.15218.

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46

Bogner, U., K. Beck, and Max Maier. "Electric field selective optical data storage using persistent spectral hole burning." Applied Physics Letters 46, no. 6 (1985): 534–36. http://dx.doi.org/10.1063/1.95583.

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47

Alabdel Abass, Ahmed A., Liang Xiao, Narayan B. Mandayam, and Zoran Gajic. "Evolutionary Game Theoretic Analysis of Advanced Persistent Threats Against Cloud Storage." IEEE Access 5 (2017): 8482–91. http://dx.doi.org/10.1109/access.2017.2691326.

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48

Standage, Dominic, and Martin Paré. "Persistent storage capability impairs decision making in a biophysical network model." Neural Networks 24, no. 10 (2011): 1062–73. http://dx.doi.org/10.1016/j.neunet.2011.05.004.

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Girao, Joao, Dirk Westhoff, Einar Mykletun, and Toshinori Araki. "TinyPEDS: Tiny persistent encrypted data storage in asynchronous wireless sensor networks." Ad Hoc Networks 5, no. 7 (2007): 1073–89. http://dx.doi.org/10.1016/j.adhoc.2006.05.004.

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Xiao, Liang, Dongjin Xu, Caixia Xie, Narayan B. Mandayam, and H. Vincent Poor. "Cloud Storage Defense Against Advanced Persistent Threats: A Prospect Theoretic Study." IEEE Journal on Selected Areas in Communications 35, no. 3 (2017): 534–44. http://dx.doi.org/10.1109/jsac.2017.2659418.

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