Wake on LAN over Internet as Web Service

Gil-Martinez-Abarca, J.A.; Macia-Perez, Francisco; Marcos-Jorquera, Diego; Gilart-Iglesias, Virgilio

doi:10.1109/etfa.2006.355397

Cited by 11 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These states can be controlled locally by ACPI commands, but in some systems, the ACPI might also be remotely managed using Wake‐on‐LAN (WoL) . WoL consists of a standard developed by Advanced Micro Devices (AMD) for computers connected to a network to manage energy information.…”

Section: Advanced Configuration and Power Interfacementioning

confidence: 99%

Modeling and simulation of global and sleep states in ACPI‐compliant energy‐efficient cloud environments

Xavier

Rossi

Rose

et al. 2016

Concurrency and Computation

View full text Add to dashboard Cite

SUMMARYThe more large-scale data centers infrastructure costs increase, the more simulation-based evaluations are needed to understand better the trade-off between energy and performance and support the development of new energy-aware resource allocation policies. Specifically, in the cloud computing field, various simulators are able to predict and measure the behavior of applications on different architectures using different resource allocation policies. Yet, only a few of them have the ability to simulate energy-saving strategies, and none of them support the complete advanced configuration and power interface (ACPI) specification. ACPI defines a terminology for all possible power states of a machine and their associated power rate. The hardware industry has relied on ACPI to provide up-to-date standard interfaces for hardware discovery, configuration, power management, and monitoring, enabling a better understanding of the energy consumption level of different hardware states, referred to as ACPI G-states, S-states, and P-states. In this paper, we improve the modeling and simulation of the ACPI G/S-states and show not only that these states offer different energy-saving levels but also that state transitions consume energy. In addition, we model the latency to transit between two states and the effects on the turnaround time when the transitions are not performed conservatively. Furthermore, the equations provide essential information to quantify the trade-off between energy consumption and performance and assist in the analysis/decision on which strategy fits better in the environment and how it could be refined. Our expanded energy model was implemented in CloudSim and validated with simulation-based experiments with a very high level of accuracy, with a standard deviation of at most 6%.

show abstract

Section: Advanced Configuration and Power Interfacementioning

confidence: 99%

Modeling and simulation of global and sleep states in ACPI‐compliant energy‐efficient cloud environments

Xavier

Rossi

Rose

et al. 2016

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…By contrast, our approach concentrates the logic of the Integrated Smart Sensor Networks(ISSN) on a powerful platform, to which the various heterogeneous sensor systems are connected. Such solution is not new, for example it has been used in (Gil-Martinez-Abarca et al, 2006) for enabling management of remote bootstrap of network nodes through the Internet; and in (Grosky et al, 2007) for building a peer to peer infrastructure for sharing sensors through the Internet. However, such works address a wide area of pertinence and they do not explicitly address typical WSN issues, like the energy management of nodes and the QoS support for applications.…”

Section: Related Workmentioning

confidence: 99%

Implementation of a Service Oriented Architecture in Smart Sensor Systems Integration Platform

Alexandrov¹,

Monov

2014

Proceedings of the Third International Conference on Telecommunications and Remote Sensing

View full text Add to dashboard Cite

The paper describes a new developed platform for smart sensor network (SSN) data integration based on Service Oriented Architecture (SOA). SOA is a software design and software architecture design pattern based on discrete pieces of software providing application functionality as services to other applications. This is known as service oriented technology which is independent of any vendor, product or technology. Our platform is layer based and defines Network Layer, Data Integration layer and Application layer. The proposed architecture improves the information flow, has ability to expose internal functionality, improves reliability and scale operations to meet different demand levels. The platform supports mechanisms for cooperative data mining, self organization, networking, and energy optimization to build higher level service structures. The development of applications is improved and simplified by the use of optional administration tools and components.

show abstract

“…Two situations exist where the SNIC is unable to proxy a response to an incoming packet, requiring the PC to be woken up out of standby mode using a Wake on LAN (WOL) [4] interrupt. The first is when the SNIC receives a packet that does not match any power proxying rule and is not network chatter.…”

Section: Power Proxying With the Snicmentioning

confidence: 99%

Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices

Sabhanatarajan

Gordon‐Ross

Oden

et al. 2008

2008 IEEE Computer Society Annual Symposium on VLSI

View full text Add to dashboard Cite

IntroductionWith the rapid increase in the number of edge devices connected to the Internet, the aggregate power consumption of these devices will become a major concern in the near future [2]. The most prevalent of these edge devices are consumer desktop computer systems, consuming on average 60 -95 watts of power and up to 195 watts in high-end systems [22].Research estimates that these systems are on average left idle for 75% of the time when powered on [18]. During these idle periods, systems could be powered down to a standby mode to reduce power consumption by 80% [2]. However, standby mode currently disrupts the system's network connectivity. Popular Internet applications such as peer to peer (P2P) clients and instant messengers demand continuous network connectivity in order to respond to incoming file queries and to announce a user's presence. In order to ensure this connectivity, users typically disable the power management features, inhibiting the transition to standby mode, and thereby increasing the energy consumption of otherwise idle systems. However, given existing system architectures, disabling standby mode is the only option to retain two-way network connectivity for user applications.A novel approach to address this problem is to augment the network interface card (NIC) to act as a proxy (or liaison) for the system during standby mode, and maintain network connectivity by handling a subset of certain application network protocol semantics [8][18]. This subset has the unique characteristic that responses do not require a complex decision process, thus the NIC can proxy automated responses, allowing the system to remain in standby mode -a technique known as power proxying. Network protocols that are amenable to proxying are called proxiable protocols. Purushothamom et al. [18] demonstrated that the NIC can successfully proxy portions of P2P application protocol semantics, increasing the amount of time a system can be in standby mode by 85%. Similarly, several other applications such as instant messengers, initiating sessions of Internet telephony, and new mail notification of email clients are suitable for power proxying.For a NIC to provide the capability of power proxying, power proxying rules are required to enable the NIC to identify packets that may be appropriately responded to using proxiable protocols. The system provides these rules to the NIC immediately prior to entering standby mode. Such a 'smart'-NIC (SNIC) would, upon receiving a packet, identify the packet and either respond appropriately or wake up the system.To provide this functionality, the SNIC must have a packet classifier, a method of examining incoming packets to determine the appropriate action. Thus, packet classification is the process of determining which rule an inbound packet satisfies. This packet classification methodology is similar to that performed in traditional routers. However, router techniques for packet classification are not directly applicable to a desktop NIC due to high resource requiremen...

show abstract

Wake on LAN over Internet as Web Service

Abstract: Abstract

Cited by 11 publications

References 9 publications

Modeling and simulation of global and sleep states in ACPI‐compliant energy‐efficient cloud environments

Modeling and simulation of global and sleep states in ACPI‐compliant energy‐efficient cloud environments

Implementation of a Service Oriented Architecture in Smart Sensor Systems Integration Platform

Smart-NICs: Power Proxying for Reduced Power Consumption in Network Edge Devices

Contact Info

Product

Resources

About