Exploiting the performance gains of modern disk drives by enhancing data locality

Deng, Yuhui

doi:10.1016/j.ins.2009.02.002

Cited by 17 publications

(5 citation statements)

References 27 publications

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“…There has been work on considering different kinds of HDDs in terms of form-factor, capacity, operational speed of disks, energy, protocols which they can support like the IDE, SATA, SAS, SCSI, FC with different design objectives and overheads, or technologies like SSDs, DRAMs, NVRAMs, etc. in [139], [140], [141] and [142].…”

Section:  Choice Of Storage Components and Devices Based On Technolomentioning

confidence: 99%

“…Several approaches have been considered in Data Centers which are focused on conserving energy consumed by the Storage devices. The orchestrations as seen with [146] to [158] above focus on energy efficiencies along with other control parameters. There are also approaches where load-based optimization for energy conservation in terms of multi-speed disks used in an environment with disk speeds are reduced based on the loads [167], switching off systems/disks in the cluster with optimization based on load balancing [162].…”

Section:  Energy Efficienciesmentioning

confidence: 99%

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Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

Phalachandra,

Sitaram

2020

IJEAT

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Cloud infrastructure Resources hosted in Data Centers, support the effective execution of Cloud computing applications. Given the increased adoption of the Cloud Computing Applications and the Businesses getting to be Data-driven, there is a huge increase in the number of Data Centers and the Size and amount of resources hosted in these Data Centers. These Data Center resources consume a significant amount of energy and this continuous scaling of the resources is leading to increased power consumption and a large carbon footprint. Given our fragile eco-system, optimization of the Data Center resources for energy conservation and thus the carbon footprint is the primary area of our focus. Businesses also need to satisfy QoS guarantees on Availability to their customers. Optimization towards Energy efficiencies may compromise on the Availability and thus may warrant a trade-off, and a need for them to be considered together. Although there have been numerous studies towards Energy efficiencies, most of them have been focused on only energy. In this paper, we initially segregate Optimization activities towards the Data Center resources like Compute, Network, and Storage. We then study the different control parameters or approaches which will lead to meeting the objectives of Energy Efficiencies, Availability and Energy Efficiency constrained with Availability. Thus, this will support the selection of approaches for the optimization of energy while meeting the QoS Availability requirement.

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Section:  Choice Of Storage Components and Devices Based On Technolomentioning

confidence: 99%

Section:  Energy Efficienciesmentioning

confidence: 99%

Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

Phalachandra,

Sitaram

2020

IJEAT

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“…The disk controller performs mappings between the incoming logical addresses and the physical disk addresses that store the data, runs the track-following system, transfers data between the disk drive and its client (actually, the signals read by a disk head are converted by the disk controller, and then transmitted over the peripheral bus), and manages an embedded cache. [Deng 2009]. The seek time measures the time for the disk head to move to a specified track.…”

Section: Overview Of Disk Drivesmentioning

confidence: 99%

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

Deng

2011

ACM Comput. Surv.

Self Cite

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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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“…The expected disk access cost of successor retrieval operations can be reduced by clustering successively accessed data into the same disk pages [18]. This way, a junction with its successors that are most likely to be accessed together via the GaS and GS operations are allocated in the same disk page.…”

Section: Motivationmentioning

confidence: 99%

Efficient successor retrieval operations for aggregate query processing on clustered road networks

Demir

Aykanat

2010

Information Sciences

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Get-Successors (GS) which retrieves all successors of a junction is a kernel operation used to facilitate aggregate computations in road network queries. Efficient implementation of the GS operation is crucial since the disk access cost of this operation constitutes a considerable portion of the total query processing cost. Firstly, we propose a new successor retrieval operation Get-Unevaluated-Successors (GUS), which retrieves only the unevaluated successors of a given junction. The GUS operation is an efficient implementation of the GS operation, where the candidate successors to be retrieved are pruned according to the properties and state of the algorithm. Secondly, we propose a hypergraph-based model for clustering successively retrieved junctions by the GUS operations to the same pages. The proposed model utilizes query logs to correctly capture the disk access cost of GUS operations. The proposed GUS operation and associated clustering model are evaluated for two different instances of GUS operations which typically arise in Dijkstra's single source shortest path algorithm and incremental network expansion framework. Our simulation results show that the proposed successor retrieval operation together with the proposed clustering hypergraph model is quite effective in reducing the number of disk accesses in query processing. © 2010 Published by Elsevier Inc

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Exploiting the performance gains of modern disk drives by enhancing data locality

Cited by 17 publications

References 27 publications

Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

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

Efficient successor retrieval operations for aggregate query processing on clustered road networks

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