Abstract:Abstract.We show how to model system management tasks such as load-balancing and delayed download with backoff penalty using G-networks with restart. We use G-networks with a restart signal, multiple classes or positive customers, PS discipline and arbitrary PH service distribution. The restart signal models the possibility to abort a task and send it again after changing its class and its service distribution. These networks have been proved to have a product form steady-state distribution.
“…Stability conditions for G-networks were given in [58]. Multiple class models and relevant work were developed in a series of papers [12,22,23,47,95]. A special type of customer known as a "trigger" which is able to push an existing customer at a queue to another queue was introduced in [30].…”
Section: G-networkmentioning
confidence: 99%
“…There are also other G-network models. For instance, G-networks with "resets" [42,70], with "adders" [20] and with restarts [22,23], which have been developed and adopted in a number of applications in computer systems modeling and other fields.…”
Section: G-networkmentioning
confidence: 99%
“…The data or other traffic are carried out as data packets (DPs) rather than jobs. These DPs arrive from outside the network in the form of a random process representing the data or other traffic (22)…”
Section: The Epn Used For Mobile Network With Energy Harvestingmentioning
As a consequence of developing information and communication technology that is playing a significant role in our society and has changed our life dramatically, we witnessed a significant increase in energy consumption in computer systems and networks. Subsequently, energy harvesting technologies with renewable energy are of great interest in the field of computer systems and networks, and thus lead to abundant research which has been carried out to address energy harvesting from different aspects. However, the majority of them focuses on wireless or small-scale networks, which left wired networks with a general structure neglected. We first present a comprehensive systemic review of the trends of overall energy consumption, and energy and quality of service optimization in computer systems and networks. Then, this paper reviews the recent research progress in G-networks and energy packet networks with renewable and intermittent energy from both the system paradigms and the performance optimization and energy reduction algorithms for the wired networks.
“…Stability conditions for G-networks were given in [58]. Multiple class models and relevant work were developed in a series of papers [12,22,23,47,95]. A special type of customer known as a "trigger" which is able to push an existing customer at a queue to another queue was introduced in [30].…”
Section: G-networkmentioning
confidence: 99%
“…There are also other G-network models. For instance, G-networks with "resets" [42,70], with "adders" [20] and with restarts [22,23], which have been developed and adopted in a number of applications in computer systems modeling and other fields.…”
Section: G-networkmentioning
confidence: 99%
“…The data or other traffic are carried out as data packets (DPs) rather than jobs. These DPs arrive from outside the network in the form of a random process representing the data or other traffic (22)…”
Section: The Epn Used For Mobile Network With Energy Harvestingmentioning
As a consequence of developing information and communication technology that is playing a significant role in our society and has changed our life dramatically, we witnessed a significant increase in energy consumption in computer systems and networks. Subsequently, energy harvesting technologies with renewable energy are of great interest in the field of computer systems and networks, and thus lead to abundant research which has been carried out to address energy harvesting from different aspects. However, the majority of them focuses on wireless or small-scale networks, which left wired networks with a general structure neglected. We first present a comprehensive systemic review of the trends of overall energy consumption, and energy and quality of service optimization in computer systems and networks. Then, this paper reviews the recent research progress in G-networks and energy packet networks with renewable and intermittent energy from both the system paradigms and the performance optimization and energy reduction algorithms for the wired networks.
“…When "adder" [8] which is another type of customer arrives at a service center, it acts as a load regulator to probabilistically change the queue length at the service center. G-networks have also been applied to restart problems [9,10] where the user can abort and resubmit a running job which exceeds a deadline. The tandem G-networks were investigated to study the response time probability distribution in [40] and the computer networks with blocking in [36].…”
We use Energy Packet Network paradigms to investigate energy distribution problems in a computer system with energy harvesting and storages units. Our goal is to minimize both the overall average response time of jobs at workstations and the total rate of energy lost in the network. Energy is lost when it arrives at idle workstations which are empty. Energy is also lost in storage leakages. We assume that the total rate of energy harvesting and the rate of jobs arriving at workstations are known. We also consider a special case in which the total rate of energy harvesting is sufficiently large so that workstations are less busy. In this case, energy is more likely to be sent to an idle workstation. Optimal solutions are obtained which minimize both the overall response time and energy loss under the constraint of a fixed energy harvesting rate.
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