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921
Using MEMS-Based Storage in Computer Systems-Device Modeling and Management
- ACM Transactions on Storage
, 2006
"... MEMS-based storage is an emerging nonvolatile secondary storage technology. It promises high performance, high storage density, and low power consumption. With fundamentally different architectural designs from magnetic disk, MEMS-based storage exhibits unique two-dimensional positioning behaviors a ..."
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Cited by 2 (0 self)
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and efficient power state transitions. We model these low-level, device-specific properties of MEMS-based storage and present request scheduling algorithms and power management strategies that exploit the full potential of these devices. Our simulations show that MEMS-specific device management policies can
Using MEMS-Based Storage in Computer Systems -- Device Modeling and Management
- ACM TRANS. STORAGE
, 2006
"... MEMS-based storage is an emerging non-volatile secondary storage technology. It promises high performance, high storage density, and low power consumption. With fundamentally different architectural designs from magnetic disk, MEMS-based storage exhibits unique two-dimensional positioning behaviors ..."
Abstract
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Cited by 1 (0 self)
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and efficient power state transitions. We model these low-level, devicespecific properties of MEMS-based storage and present request scheduling algorithms and power management strategies that exploit the full potential of these devices. Our simulations show that MEMS-specific device management policies can
Power Conservation Strategies for MEMS-based Storage Devices
, 2002
"... Power dissipation in mobile computers is crucial and researchers have expended significant effort to improve power management for the hard drive, which accounts for a large percentage of the power consumed by the system. A new class of secondary storage devices based on microelectromechanical system ..."
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Cited by 15 (0 self)
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Power dissipation in mobile computers is crucial and researchers have expended significant effort to improve power management for the hard drive, which accounts for a large percentage of the power consumed by the system. A new class of secondary storage devices based on microelectromechanical
Gaia: A Middleware Infrastructure to Enable Active Spaces
- IEEE Pervasive Computing
, 2002
"... We envision a future where people’s living spaces are interactive and programmable. Users interact with their offices, homes, cars, malls and airports to request information, benefit from the resources available, and configure the habitat’s behavior. Data and tasks are always accessible and are mapp ..."
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Cited by 263 (16 self)
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system to middleware, we can manage the resources, devices and distributed objects in a room, building, or physical space, how a distributed extension of the model–view–controller that is use in personal computers simplifies and structures practical applications for these environments, and how
Lifestreams: A Storage Model for Personal Data
- ACM SIGMOD Bulletin
, 1996
"... Conventional software systems, such as those based on the "desktop metaphor," are ill-equipped to manage the electronic information and events of the typical computer user. We introduce a new metaphor, Lifestreams, for dynamically organizing a user's personal workspace. Lifestreams us ..."
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Cited by 190 (0 self)
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Conventional software systems, such as those based on the "desktop metaphor," are ill-equipped to manage the electronic information and events of the typical computer user. We introduce a new metaphor, Lifestreams, for dynamically organizing a user's personal workspace. Lifestreams
MEMS-BASED THERMAL MANAGEMENT OF HIGH HEAT FLUX DEVICES EDIFICE: EMBEDDED DROPLET IMPINGEMENT FOR INTEGRATED COOLING OF ELECTRONICS
"... ABSTRACT Increases in microprocessor power dissipation coupled with reductions in feature sizes due to manufacturing process improvements have resulted in continuously increasing heat fluxes. The ever increasing chip-level heat flux has necessitated the development of thermal management devices bas ..."
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ABSTRACT Increases in microprocessor power dissipation coupled with reductions in feature sizes due to manufacturing process improvements have resulted in continuously increasing heat fluxes. The ever increasing chip-level heat flux has necessitated the development of thermal management devices
GaiaOS: An Infrastructure for Active Spaces
"... We envision a world of mobile users in an unobtrusive ubiquitous computing environment that couples a computational model, digital media, and virtual representations of the physical world. Hundreds of embedded computers support the information and computational needs of each user. Users, application ..."
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Cited by 187 (9 self)
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, applications, and computing devices move. The location of users and devices drives applications and resource management. Users have anytime/anywhere access to information, the network, and computational resources. Within this world, applications that make effective use of resources to support the activities
Power Aware Page Allocation
- In Architectural Support for Programming Languages and Operating Systems
, 2000
"... One of the major challenges of post-PC computing is the need to reduce energy consumption, thereby extending the lifetime of the batteries that p ower these mobile devices. Memory is a particularly important tar get for e orts to improve energy e ciency. Memory technolo gy is becoming available that ..."
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Cited by 189 (10 self)
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age allo cation p olicies that ancbe employed by an informed operating system to complement the hardware power management strategies. We perform experiments using two complementary simulation envir onments: a tracedriven simulator with workload traces that are representative of mobile computing
Storage Device Performance Prediction with CART Models
, 2004
"... Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment. This work explores the application of a machine learning tool, CART models, to storage device modeling. Our approach predicts a device's performance as ..."
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Cited by 45 (5 self)
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Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment. This work explores the application of a machine learning tool, CART models, to storage device modeling. Our approach predicts a device's performance
Scalable high performance main memory system using phase-change memory technology
- In International Symposium on Computer Architecture (ISCA
, 2009
"... The memory subsystem accounts for a significant cost and power budget of a computer system. Current DRAM-based main memory systems are starting to hit the power and cost limit. An alternative memory technology that uses resistance contrast in phase-change materials is being actively investigated in ..."
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Cited by 134 (4 self)
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in the circuits community. PhaseChangeMemory(PCM) devices offer more density relative to DRAM, and can help increase main memory capacity of future systems while remaining within the cost and power constraints. In this paper, we analyze a PCM-based hybrid main memory system using an architecture level model
Results 1 - 10
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921
