462 research outputs found
Energy saving market for mobile operators
Ensuring seamless coverage accounts for the lion's share of the energy
consumed in a mobile network. Overlapping coverage of three to five mobile
network operators (MNOs) results in enormous amount of energy waste which is
avoidable. The traffic demands of the mobile networks vary significantly
throughout the day. As the offered load for all networks are not same at a
given time and the differences in energy consumption at different loads are
significant, multi-MNO capacity/coverage sharing can dramatically reduce energy
consumption of mobile networks and provide the MNOs a cost effective means to
cope with the exponential growth of traffic. In this paper, we propose an
energy saving market for a multi-MNO network scenario. As the competing MNOs
are not comfortable with information sharing, we propose a double auction
clearinghouse market mechanism where MNOs sell and buy capacity in order to
minimize energy consumption. In our setting, each MNO proposes its bids and
asks simultaneously for buying and selling multi-unit capacities respectively
to an independent auctioneer, i.e., clearinghouse and ends up either as a buyer
or as a seller in each round. We show that the mechanism allows the MNOs to
save significant percentage of energy cost throughout a wide range of network
load. Different than other energy saving features such as cell sleep or antenna
muting which can not be enabled at heavy traffic load, dynamic capacity sharing
allows MNOs to handle traffic bursts with energy saving opportunity.Comment: 6 pages, 2 figures, to be published in ICC 2015 workshop on Next
Generation Green IC
A theoretical and computational basis for CATNETS
The main content of this report is the identification and definition of market mechanisms for Application Layer Networks (ALNs). On basis of the structured Market Engineering process, the work comprises the identification of requirements which adequate market mechanisms for ALNs have to fulfill. Subsequently, two mechanisms for each, the centralized and the decentralized case are described in this document. These build the theoretical foundation for the work within the following two years of the CATNETS project. --Grid Computing
Theoretical and Computational Basis for Economical Ressource Allocation in Application Layer Networks - Annual Report Year 1
This paper identifies and defines suitable market mechanisms for Application Layer Networks (ALNs). On basis of the structured Market Engineering process, the work comprises the identification of requirements which adequate market mechanisms for ALNs have to fulfill. Subsequently, two mechanisms for each, the centralized and the decentralized case are described in this document. --Grid Computing
Economic-based Distributed Resource Management and Scheduling for Grid Computing
Computational Grids, emerging as an infrastructure for next generation
computing, enable the sharing, selection, and aggregation of geographically
distributed resources for solving large-scale problems in science, engineering,
and commerce. As the resources in the Grid are heterogeneous and geographically
distributed with varying availability and a variety of usage and cost policies
for diverse users at different times and, priorities as well as goals that vary
with time. The management of resources and application scheduling in such a
large and distributed environment is a complex task. This thesis proposes a
distributed computational economy as an effective metaphor for the management
of resources and application scheduling. It proposes an architectural framework
that supports resource trading and quality of services based scheduling. It
enables the regulation of supply and demand for resources and provides an
incentive for resource owners for participating in the Grid and motives the
users to trade-off between the deadline, budget, and the required level of
quality of service. The thesis demonstrates the capability of economic-based
systems for peer-to-peer distributed computing by developing users'
quality-of-service requirements driven scheduling strategies and algorithms. It
demonstrates their effectiveness by performing scheduling experiments on the
World-Wide Grid for solving parameter sweep applications
09131 Abstracts Collection -- Service Level Agreements in Grids
From 22.03. to 27.03.09, the Dagstuhl Seminar 09131 ``Service Level Agreements in Grids \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
Recommended from our members
A Market-based Bandwidth Charging Framework
The increasing demand for high-bandwidth applications such as video-on-demand and grid computing is reviving interest in bandwidth reservation schemes. Earlier attempts did not catch on for a number of reasons, notably lack of interest on the part of the bandwidth providers. This, in turn, was partially caused by the lack of an efficient way of charging for bandwidth. Thus, the viability of bandwidth reservation depends on the existence of an efficient market where bandwidth-related transactions can take place. For this market to be effective, it must be efficient for both the provider (seller) and the user (buyer) of the bandwidth. This implies that: (a) the buyer must have a wide choice of providers that operate in a competitive environment, (b) the seller must be assured that a QoS transaction will be paid by the customer, and (c) the QoS transaction establishment must have low overheads so that it may be used by individual customers without a significant burden to the provider. In order to satisfy these requirements, we propose a framework that allows customers to purchase bandwidth using an open market where providers advertise links and capacities and customers bid for these services. The model is close to that of a commodities market that offers both advance bookings (futures) and a spot market. We explore the mechanisms that can support such a model
Trusted UAV Network Coverage using Blockchain, Machine Learning and Auction Mechanisms
The UAV is emerging as one of the greatest technology developments for rapid network
coverage provisioning at affordable cost. The aim of this paper is to outsource network coverage of a specific
area according to a desired quality of service requirement and to enable various entities in the network to
have intelligence to make autonomous decisions using blockchain and auction mechanisms. In this regard,
by considering a multiple-UAV network where each UAV is associated to its own controlling operator,
this paper addresses two major challenges: the selection of the UAV for the desired quality of network
coverage and the development of a distributed and autonomous real-time monitoring framework for the
enforcement of service level agreement (SLA). For a suitable UAV selection, we employ a reputation-based
auction mechanism to model the interaction between the business agent who is interested in outsourcing
the network coverage and the UAV operators serving in closeby areas. In addition, theoretical analysis
is performed to show that the proposed auction mechanism attains a dominant strategy equilibrium. For
the SLA enforcement and trust model, we propose a permissioned blockchain architecture considering
Support Vector Machine (SVM) for real-time autonomous and distributed monitoring of UAV service. In
particular, smart contract features of the blockchain are invoked for enforcing the SLA terms of payment
and penalty, and for quantifying the UAV service reputation. Simulation results confirm the accuracy of
theoretical analysis and efficacy of the proposed model
Decentralized Resource Scheduling in Grid/Cloud Computing
In the Grid/Cloud environment, applications or services and resources belong to different organizations with different objectives. Entities in the Grid/Cloud are autonomous and self-interested; however, they are willing to share their resources and services to achieve their individual and collective goals. In such open environment, the scheduling decision is a challenge given the decentralized nature of the environment. Each entity has specific requirements and objectives that need to achieve. In this thesis, we review the Grid/Cloud computing technologies, environment characteristics and structure and indicate the challenges within the resource scheduling. We capture the Grid/Cloud scheduling model based on the complete requirement of the environment. We further create a mapping between the Grid/Cloud scheduling problem and the combinatorial allocation problem and propose an adequate economic-based optimization model based on the characteristic and the structure nature of the Grid/Cloud. By adequacy, we mean that a comprehensive view of required properties of the Grid/Cloud is captured. We utilize the captured properties and propose a bidding language that is expressive where entities have the ability to specify any set of preferences in the Grid/Cloud and simple as entities have the ability to express structured preferences directly. We propose a winner determination model and mechanism that utilizes the proposed bidding language and finds a scheduling solution. Our proposed approach integrates concepts and principles of mechanism design and classical scheduling theory. Furthermore, we argue that in such open environment privacy concerns by nature is part of the requirement in the Grid/Cloud. Hence, any scheduling decision within the Grid/Cloud computing environment is to incorporate the feasibility of privacy protection of an entity. Each entity has specific requirements in terms of scheduling and privacy preferences. We analyze the privacy problem in the Grid/Cloud computing environment and propose an economic based model and solution architecture that provides a scheduling solution given privacy concerns in the Grid/Cloud. Finally, as a demonstration of the applicability of the approach, we apply our solution by integrating with Globus toolkit (a well adopted tool to enable Grid/Cloud computing environment). We also, created simulation experimental results to capture the economic and time efficiency of the proposed solution
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