ICAC

Elasticity - where systems acquire and release resources in response to dynamic workloads, while paying only for what they need - is a driving property of cloud computing. At the core of any elastic system is an automated controller. This paper ...

Resource provisioning in compute clouds often require an estimate of the capacity needs of Virtual Machines (VMs). The estimated VM size is the basis for allocating resources commensurate with workload demand. In contrast to the traditional practice of ...

Online Internet applications see dynamic workloads that fluctuate over multiple time scales. This paper argues that the non-stationarity in Internet application workloads, which causes the request mix to change over time, can have a significant impact ...

The increasing heterogeneity between applications in emerging virtualized data centers like clouds introduce significant challenges in estimating the power drawn by the data center. In this work, we presentWattApp: an application-aware power meter for ...

Large-scale web-hosting and data centers are increasingly challenged to reduce power consumption while maintaining a minimum quality of service. Dynamic voltage and frequency scaling provides one technique to curb power consumption by limiting the power ...

We present the first study of the real-world behavior of display power management (DPM) policies. DPM policies control the mechanism of powering on and off the display - turning off the display typically reduces total system power by ~31%. The most ...

The sharp rise in energy usage in data centers, fueled by increased IT workload and high server density, and coupled with a concomitant increase in the cost and volatility of the energy supply, have triggered urgent calls to improve data center energy ...

We target effective home automation based on wireless sensor networks. ASSL (Autonomic System Specification Language) is used to formally specify and generate prototype models for wireless sensor networks controlling a simulated virtual home ...

We consider autonomic applications to systems for which continuous perfect monitoring of state is not possible. We use Exact-State Observers (ESO) to provide enhanced information about the system state. To achieve optimal configuration of the autonomic ...

In cloud computing, virtual machines (VMs) tend to be configured and reconfigured on the fly for the provisioning of an elastic computing environment. Their resident applications often have a number of performance-critical parameters that need to be ...

Large-scale distributed systems are playing an increasing role in computational research, production operations, information processing, and application hosting. The continuous management of such systems is a critical consideration when focusing on ...

The rise of multicore computing has greatly increased system complexity and created an additional burden for software developers. This burden is especially troublesome when it comes to optimizing software on modern computing systems. Autonomic or ...

This paper develops a distributed cooperative control framework to manage the performance of virtualized computing environments. We consider a server cluster hosting multiple enterprise applications on a set of virtual machines (VMs) in which the system ...

Virtualization technologies enable organizations to dynamically flex their IT resources based on workload fluctuations and changing business needs. However, only through a formal understanding of the relationship between application performance and ...

Despite advances in software engineering, software faults continue to cause system downtime. Software faults are difficult to detect before the system fails, especially since the first symptom of a fault is often system failure itself.

This paper ...

Server virtualization is now becoming an effective means to consolidate numerous applications into a small number of machines. While such a strategy can lead to significant savings in power and hardware cost, it may complicate the fault management task ...

Over-provisioning is a standard capacity planning practice that leads to disk drives operating mostly under very low utilization (as low as single digit utilization) but that are consuming disproportional amounts of power. Methodologies that place the ...

To effectively manage large-scale data centers and utility clouds, operators must understand current system and application behaviors. This requires continuous monitoring along with online analysis of the data captured by the monitoring system. As a ...

Policies are a powerful means of expressing high-level, goal oriented parameters to manage the behavior of systems and users, and are thus valuable tools for autonomic management. However, the autonomic management of policies is in itself a challenging ...

Virtual Organizations are dynamic entities that consist of individuals and/or institutions established around a set of resource-sharing rules and conditions. The VO may require the use of on-site (local) and off-site (public) compute resources that can ...

Increasing heat dissipation density is becoming a limiting factor in air-cooled data centers. The main control objective in data center thermal management is to keep the temperature of all the data processing equipment below a certain threshold and at ...

Self-adaptive software systems are an emerging class of systems that adjust their behavior at runtime to achieve certain functional or quality of service objectives. The construction of such systems has shown to be significantly more challenging than ...

As multicore processors become increasingly prevalent, system complexity is skyrocketing. The advent of the asymmetric multicore compounds this - it is no longer practical for an average programmer to balance the system constraints associated with today'...

Increasingly, high-assurance software systems apply self-reconfiguration in order to satisfy changing functional and non-functional requirements. Most self-reconfiguration approaches identify a target system configuration to provide the desired system ...

This paper addresses the scheduling problem that popular data parallel programming systems such as DryadLINQ and MapReduce are facing today. Designing a cluster system in a multi-user environment is challenging because cluster schedulers must satisfy ...

Content-based publish/subscribe (CBPS) paradigm is a powerful data dissemination paradigm that offers both scalability and flexibility. However, its nature of high expressiveness makes it difficult to analyze or predict the behavior of the system such ...

This paper discusses the automated application of architectural patterns for tuning the quality of service of service-oriented software. The paper first presents an overview of prior work in self-architecting, SASSY, and a motivating example in the ...