Abstract
Nowadays, the growing computational capabilities of Cloud systems rely on the reduction of the consumed power of their data centers to make them sustainable and economically profitable. The efficient management of computing resources is at the heart of any energy-aware data center and of special relevance is the adaptation of its performance to workload. Intensive computing applications in diverse areas of science generate complex workload called workflows, whose successful management in terms of energy saving is still at its beginning. WorkflowSim is currently one of the most advanced simulators for research on workflows processing, offering advanced features such as task clustering and failure policies. In this work, an expected power-aware extension of WorkflowSim is presented. This new tool integrates a power model based on a computing-plus-communication design to allow the optimization of new management strategies in energy saving considering computing, reconfiguration and networks costs as well as quality of service, and it incorporates the preeminent strategy for on host energy saving: Dynamic Voltage Frequency Scaling (DVFS). The simulator is designed to be consistent in different real scenarios and to include a wide repertory of DVFS governors. Results showing the validity of the simulator in terms of resources utilization, frequency and voltage scaling, power, energy and time saving are presented. Also, results achieved by the intra-host DVFS strategy with different governors are compared to those of the data center using a recent and successful DVFS-based inter-host scheduling strategy as overlapped mechanism to the DVFS intra-host technique.
Highlights
Cloud Computing is a distributed processing paradigm leading the generation computational platforms based on the externalization of computing needs offered as services [1]
Dynamic Voltage Frequency Scaling (DVFS) is included in many current computing systems such as the Linux kernel and it is generally not considered a substitute of other strategies for energy optimization, but a background intra-host tool supporting the design of new strategies for energy saving in data centers
The proposal extends the sophisticated WorkflowSim simulator to incorporate a power model allowing the estimation of power consumption in data centers considering the computing, frequency reconfiguration and network costs, and the leading intra-host managing strategy DVFS for dynamic adaptation of voltage and frequency to workload
Summary
Cloud Computing is a distributed processing paradigm leading the generation computational platforms based on the externalization of computing needs offered as services [1]. The crescent number of servers and auxiliary systems in data centers makes their overall performance cost and environmental impact to increase non-stop as these services are more and more demanded currently [5,6,7] In this scenario, making energy saving a critical aspect to be aware of in the whole management of the Cloud systems is necessary to allow their growth in terms of sustainability and economic benefit. Simulators allow to perform experiments with real scenarios both in terms of supporting infrastructures as well as of workload without the need for any specific physical equipment or networks This way, the availability of sophisticated simulators is relevant in the study of new green strategies for management in Cloud Computing [18]. The main conclusions of the work are drawn in “Conclusions”
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