Dynamic and scalable storage management architecture for Grid Oriented Storage devices

Deng, Yuhui; Wang, Frank; Helian, Na; Wu, Sining; Liao, Chenhan

doi:10.1016/j.parco.2007.10.003

Cited by 22 publications

(21 citation statements)

References 25 publications

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“…With the steady growth of client access demands and the required data sizes, it is a challenge to design an autonomous, dynamic, large-scale and scalable storage system which can consolidate distributed storage resources to satisfy both the bandwidth and storage capacity requirements. Grid Oriented Storage (GOS) is build to build a distributed and huge scale storage system to preserves growing demand of bandwidth and capacity [13]. The Novel Dynamic and Scalable Storage Management (NDSSM) architecture to organize Grid Oriented Service (GOS) devices into a large -scale and geographically distributed data storage system to meet the requirements imposed by all kinds of Grid applications.…”

Section: Complexitymentioning

confidence: 99%

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Novel Dynamic and Scalable Storage Management Architecture

Kumar¹,

Kumar²,

Shrivastava³

2015

IJCA

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In the current scenario, storage management of Big Data is imposing concern for Grid Computing environments, as a large scale distributed computation System which can resolve the problem of resource sharing. In traditional approach there is high-performance computing machine consisting of dedicated servers that are used to store data storage and resource discovery. In this paper, It is proposed to be an architecture Novel Dynamic and Scalable Storage Management Architecture for Big Data Management. This allows the grid oriented storage machine to share the resource and storage space. It has a retention period to resource discovery whenever data is communicating with the virtual storage.

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Section: Complexitymentioning

confidence: 99%

“…Data Locality: Data locality is a measurement of data that can be selected, retrieved, compactly stored, and reused for subsequent accesses [13]. Basically, there are two types of data locality: temporal and spatial.…”

Section: Proposed Architecturementioning

confidence: 99%

Novel Dynamic and Scalable Storage Management Architecture

Kumar¹,

Kumar²,

Shrivastava³

2015

IJCA

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“…Grid is a flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources [13][14][15][16]. The objective is to virtualize resources, and allow users and applications to access shared resources in a transparent manner.…”

Section: Introductionmentioning

confidence: 99%

LAG: Achieving transparent access to legacy data by leveraging grid environment

Deng

Wang

2011

Future Generation Computer Systems

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a b s t r a c tThe world today is experiencing an explosive growth of data generated by information digitization. Due to the unprecedented advance in software and hardware, large amounts of data gradually becomes legacy data and inaccessible. This is building a digital black hole, and it is becoming a big challenge to access, process, and preserve the legacy data. Grid provides flexible, secure, and coordinated resource sharing among dynamic collections of individuals, institutions, and resources. It allows users and applications to access the aggregated resources in a transparent manner. This paper proposes a Legacy Application Grid (LAG) architecture. This architecture deploys diverse legacy applications in a grid environment and provides a transparent access to the remote LAG users who want to access the legacy data. In contrast to the existing methods which attempt to tackle legacy data and legacy applications, we wrap a display protocol into grid services. The service provider, who wants to deploy any legacy applications, just needs to deploy the protocol based grid service, describe and pass the parameters of those legacy applications to the service. Compared with the traditional approaches, the method proposed in this paper is very costeffective because it avoids converting legacy data from one format to another format or upgrading legacy applications one by one. An implemented prototype validates that the LAG architecture trades acceptable performance degradation for a transparent and remote access to legacy data.

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“…However, if hundreds or thousands of disk drives are put together (e.g. storage cluster [Deng 2008], storage grid [Deng et al 2008a]), it will quickly become a big headache. SSDs provide a very good opportunity to build a cool storage system by leveraging their exceptional high performance.…”

mentioning

confidence: 99%

What is the future of disk drives, death or rebirth?

Deng

2011

ACM Comput. Surv.

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________________________________________________________________________Disk drives have experienced dramatic development to meet the performance requirements, since the IBM 1301 disk drive was announced in 1961. However, the performance gap between memory and disk drives has widened to 6 orders of magnitude and continues to widen by about 50% per year. Furthermore, energy efficiency has become one of the most important challenges in designing disk drive storage systems. The architectural design of disk drives has reached a turning point which should allow their performance to advance further, while still maintaining high reliability and energy efficiency. This paper explains how disk drives have evolved over five decades to meet challenging customer demands. First of all, it briefly introduces the development of disk drives, and deconstructs disk performance and power consumption. Secondly, it describes the design constraints and challenges that traditional disk drives are facing. Thirdly, it presents some innovative disk drive architectures discussed in the community. Fourthly, it introduces some new storage media types and the impacts they have on the architecture of the traditional disk drives. Finally, it discusses two of the important evolutions of the disk drives: hybrid disk and solid state disk. The paper highlights the challenges and opportunities facing these storage devices, and explores how we can expect them to affect the storage systems.

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Dynamic and scalable storage management architecture for Grid Oriented Storage devices

Cited by 22 publications

References 25 publications

Novel Dynamic and Scalable Storage Management Architecture

Novel Dynamic and Scalable Storage Management Architecture

LAG: Achieving transparent access to legacy data by leveraging grid environment

What is the future of disk drives, death or rebirth?

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