- Sponsor:
- sigops
No abstract available.
Opportunities and challenges to unify workload, power, and cooling management in data centers
Independent optimization for workload and power management, and active cooling control have been studied extensively to improve data center energy efficiency. Recently, proposals have started to advocate unified workload, power, and cooling management ...
Automated control of Internet services
Finding an efficient configuration for cluster-based multi-tier Internet services is often a difficult task. Moreover, even a good configuration could become obsolete, depending on workload evolution. In this paper, we address both problems by ...
Control strategies for H.264 video decoding under resources constraints
Automatic control appears to be an enabling technology to handle both the performance dispersion in highly integrated chips and computing power adaptability under varying loads and energy storage constraints. This work in progress paper presents a case ...
QoS-oriented control of server systems
Multi-tier architectures are widely used by internet applications. Guaranteeing the performance, and more generally the quality of service (QoS), of such applications remains a crucial issue. In this paper we propose a methodology to get the optimal ...
Why feedback implementations fail: the importance of systematic testing
Over the last decade, there has been great progress in using formal methods from control theory to design closed loops in software products. Despite this progress, formal methods are rarely used by software practitioners. One reason is the substantial ...
Automated control for SLA-aware elastic clouds
Although Cloud Computing provides a means to support remote, on-demand access top a set of computing resources, its ad-hoc management for quality-of-service and SLA poses significant challenges to the performance, availability and economical costs of ...
A language approach to discrete control in computing
We summarize an approach to the discrete closed-loop control of adaptive and reconfigurable computing systems. We encapsulate discrete controller synthesis in a reactive programming language, in a model-based aproach.



