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623
Power management in energy harvesting sensor networks
- Networked and Embedded Systems Laboratory, UCLA
, 2006
"... Power management is an important concern in sensor networks, because a tethered energy in-frastructure is usually not available and an obvious concern is to use the available battery energy efficiently. However, in some of the sensor networking applications, an additional facility is available to am ..."
Abstract
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Cited by 232 (3 self)
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to ameliorate the energy problem: harvesting energy from the environment. Certain considerations in using an energy harvesting source are fundamentally different from that in using a battery, be-cause, rather than a limit on the maximum energy, it has a limit on the maximum rate at which the energy can be used
The Effects of Certain Gimbal 'Orders on Target Acquisition and Workload
"... I f air-to-ground irnaging sensors are tnorr nted to aircraft by different gimbal ordersystems, the displayed scene will rotate differently, eveu thougJi the fright paths are identical. Eighteen experieiiced pilots were rested to investigate tlie effects of three gimbal orders (roll-pitch, yawpitch, ..."
Abstract
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Cited by 1 (0 self)
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, and pitch-jaw) on target detection, recognition, arid identification performance; and also on operator workload. The pitchyaw gimbal order 1 % s ~ s a sociated with the greatest range-to-target scores arid the liglitest workloads.
Workload Evolution on the Cornell Theory Center IBM SP2
, 1996
"... . The Cornell Theory Center (CTC) put a 512-node IBM SP2 system into production in early 1995, and extended traces of batch jobs began to be collected in June of that year. An analysis of the workload shows that it has not only grown, but that its characteristics have changed over time. In particula ..."
Abstract
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Cited by 69 (0 self)
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the requested resources. New policies were established to improve the situation. This paper will profile how the workload has changed over time and give an in-depth look at the maturing workload. It will examine how frequently certain resources are requested and analyze user submittal patterns. It will also
Analyzing and Improving a BitTorrent Network’s Performance Mechanisms
, 2006
"... Abstract — In recent years, BitTorrent has emerged as a very scalable peer-to-peer file distribution mechanism. While early measurement and analytical studies have verified BitTorrent’s performance, they have also raised questions about various metrics (upload utilization, fairness, etc.), particula ..."
Abstract
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Cited by 177 (0 self)
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.), particularly in settings other than those measured. In this paper, we present a simulationbased study of BitTorrent. Our goal is to deconstruct the system and evaluate the impact of its core mechanisms, both individually and in combination, on overall system performance under a variety of workloads. Our
Hierarchical scheduling for diverse datacenter workloads
- in Proc. ACM SoCC
, 2013
"... There has been a recent industrial effort to develop multi-resource hierarchical schedulers. However, the existing implementations have some shortcomings in that they might leave resources unallocated or starve certain jobs. This is because the multi-resource setting introduces new challenges for hi ..."
Abstract
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Cited by 13 (1 self)
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There has been a recent industrial effort to develop multi-resource hierarchical schedulers. However, the existing implementations have some shortcomings in that they might leave resources unallocated or starve certain jobs. This is because the multi-resource setting introduces new challenges
Achieving class-based QoS for transactional workloads
- In Proc. of IEEE ICDE
, 2006
"... In e-commerce applications certain classes of users desire mean response time guarantees and are willing to pay for this preferential level of service. Unfortunately, todays commercial DBMS, which lie at the heart of most ecommerce applications, do not provide adequate support for class-based qualit ..."
Abstract
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Cited by 31 (3 self)
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In e-commerce applications certain classes of users desire mean response time guarantees and are willing to pay for this preferential level of service. Unfortunately, todays commercial DBMS, which lie at the heart of most ecommerce applications, do not provide adequate support for class
Workload dependent performance evaluation of the linux 2.6 i/o schedulers
- In Linux Symposium
, 2004
"... The 2.6 release introduced the option to select a particular I/O scheduler at boot time. The 2.4 Linus elevator was retired, incorporated are now the anticipatory (AS), the deadline, the noop, as well as the completely fair queuing (CFQ) I/O schedulers. Each scheduler has its strengths and weaknesse ..."
Abstract
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Cited by 15 (0 self)
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-der certain workload scenarios, the study looks into ways to actually improve the performance through either the existing tuning options or any potential code changes/enhancements.
alsched: algebraic scheduling of mixed workloads
- in heterogeneous clouds,” in ACM Symposium on Cloud Computing, 2012
"... ABSTRACT As cloud resources and applications grow more heterogeneous, allocating the right resources to different tenants' activities increasingly depends upon understanding tradeoffs regarding their individual behaviors. One may require a specific amount of RAM, another may benefit from a GPU ..."
Abstract
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Cited by 8 (3 self)
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GPU, and a third may benefit from executing on the same rack as a fourth. This paper promotes the need for and an approach for accommodating diverse tenant needs, based on having resource requests indicate any soft (i.e., when certain resource types would be better, but are not mandatory) and hard
Practical applications of Iterative Workload Distillation
, 2003
"... Storage systems designers are still searching for better methods of obtaining representative I/O workloads to drive studies of I/O systems. Traces of production workloads are very accurate; however, they are inflexible and difficult to obtain. The use of synthetic workloads addresses these limitatio ..."
Abstract
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these limitations; however, synthetic workloads are accurate only if they share certain key properties with the production workload on which they are based (e.g., mean request size, read percentage). Unfortunately, we do not know which properties are “key ” for a given workload and storage system. We have developed
Minimization of Cloud Task Execution Length with Workload Prediction Errors
"... Abstract—In cloud systems, it is non-trivial to optimize task’s execution performance under user’s affordable budget, especially with possible workload prediction errors. Based on an optimal algorithm that can minimize cloud task’s execution length with predicted workload and budget, we theoreticall ..."
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theoretically derive the upper bound of the task execution length by taking into account the possible workload prediction errors. With such a state-of-the-art bound, the worst-case performance of a task execution with a certain workload prediction errors is predictable. On the other hand, we build a close
Results 1 - 10
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623
