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Optimal energy and spectrum cooperative allocation is investigated for the downlink of two energy harvesting base stations in this paper. In particular, the joint maximization of the users' utilities and the base stations' revenues in two adjacent cells is considered. Each user can join either cell 1 or cell 2. When the users' choices on which cell to join are fixed, the energy and spectrum allocation...
The creation of social ties is driven by several factors which can arguably be related to individual preferences and to the common social environment of individuals. Effects of homophily and triadic closure mechanisms are claimed to be important in terms of initiating new social interactions and in turn to shape the global social structure. This way they eventually provide some potential to predict...
To support the various services quickly and flexibly, intelligence and automation are the key characters for future network resource management. How to build a big data based Telco cloud resource management framework is very important currently, which can leverages the power of Network Function Virtualization (NFV) and enhances telecom operators' availability of service, efficiency of resource, and...
Cloud computing technology is rapidly emerging as quite an efficient execution platform for even highly trusted scientific applications. Efficient resource management plays a pivotal role in the execution along with attaining high performance standards in Distributed environments. Resource provisioning and scheduling has become an important area of research in cloud resource management. Clouds can...
The energy consumption of a data center and hence the carbon footprint from it largely depends on the energy consumption by its active Physical Machines (PMs). Researchers have taken many attempts to minimize the data center energy consumption through the Virtual Machines (VMs) allocation into a minimal number of PMs of homogeneous types. However, the current VM placement strategies do not consider...
The problem of designing Bayesian incentive compatible, individually rational and revenue maximizing auction for multiple goods and flexible customers is considered. The auctioneer has M goods and N potential customers. Customer i has a flexibility set ϕi which represents the set of goods the customer is equally interested in. Customer i can consume at most one good from its flexibility set. We first...
We analyze the benefit of storage capacity sharing for a set of consumers in a community (e.g., an apartment building or an industrial park). Each consumer has its own choice of either installing its own storage system or investing in a shared storage system. More precisely, they will decide on the capacity of the storage system to minimize the installation cost subject to a chance constraint for...
Network Functions Virtualization (NFV) is an emerging initiative where standard IT virtualization evolves to consolidate network functions onto high volume servers, switches and storage that can be located anywhere in the network. One of the main challenges to implement NFV is the problem of allocating Virtual Network Functions (VNFs) on top of the physical network infrastructure. Up to now, existing...
SDN orchestration, the problem of integrating and deploying multiple network control functions (NCFs) while minimizing suboptimal network states that can result from competing NCF objectives, is a challenging open problem. In this work, we formulate SDN orchestration as a multiobjective optimization problem, and present an evolutionary approach designed to explore the NCF tradeoff space comprehensively...
As Communication Service Providers (CSPs) adopt the Network Function Virtualization (NFV) paradigm they need to transition their network function capacity to a virtualized infrastructure with different Network Functions (NFs) running on a set of heterogeneous servers. This paper describes a novel technique for allocating server resources (compute, storage and network) for a given set of Virtual Network...
Teachers and students of green technology and of the cultural and creative group from the Ph.D. Department of Mechanical and Energy Engineering, Kun Shan University, Taiwan, have put together a study that focuses on the core issue that Taiwan public sector's reliance on the output value of the cultural and creative industries that are based on business turnover or sales revenue can potentially inflate...
The emphasis of this paper is put on 5G multi-cell networks which are composed of dense and mutually interfering evolved NodeBs (eNBs) sharing the scarce radio resources. Consequently, greater focus is given to resource management techniques that take Inter-Cell Interference (ICI) into account, in particular to power control. Beside power control, this paper tackles also user association and scheduling...
This paper presents a technique to improve interactivity of user operations right after booting in smart devices using Tizen OS. The proposed technique is based on the dynamic boosting: selection of the important tasks for user events, allocation of more CPU time to the selected tasks, and minimization of less CPU time for other tasks. Experimental results show that the proposed technique gives 62%...
Network service composition is becoming increasingly flexible, thanks in part to advances in virtualisation and cloud technologies. As these penetrate further into networks, providers are often looking to leverage this infrastructure to improve their service delivery. This desire poses a number of obstacles, including a diversity in device capabilities and the need for a value exchange mechanism....
In mixed-criticality systems, resource management services are required to recognize and fulfill system wide high-level constraints, e.g., end-to-end deadlines. This is not possible through individual resources in isolation. Instead, a system-wide view is necessary which requires system-wide decisions. In the European FP7 project DREAMS, services for system-wide adaptability of mixed-criticality applications...
Multi-robot systems (MRS) working in open and dynamic environments are expected to deal with uncertain arrival of new tasks and environment changes, by repeatedly adapting the current task allocation and schedule, in order to maintain its performance (e.g., total utility, balance, etc.). This paper presents an adaptive approach to multi-robot task allocation (MRTA), which combines two adaptive measures...
We study a house allocation problem where there are both existing tenants and new applicants. The NH4 mechanism is a real-world allocation mechanism which satisfies individual rationality, fairness and strategy-proofness. But it fails Pareto efficiency. We propose an efficiency-adjusted NH4 mechanism that allows each student to consent a certain priority violation that has no effect on her own assignment...
Maintaining both reliable and secret communication involves different objectives: ensuring sufficient throughput for reliable communication and ensuring the secrecy of the associated communication. The optimal solution for one of these objectives might not be optimal or even suitable for another objective and thus a question arises as to what is the appropriate criteria for fairly balancing these...
Understanding video-based activities have remained the challenge regardless of efforts from the image processing and artificial intelligence community. However, the rapid developing of computer vision in 3D area has brought an opportunity for the human pose estimation and so far for the activity recognition. In this research, the authors suggest an impressive approach for understanding daily life...
The Medical Subject Headings (MeSH) term search is typical data-gathering method in biomedical text mining. However, it has two problems: the allocation delay of the MeSH term and missing valuable literature sources. Since MeSH term allocation is performed by a human being, the allocation process has delay. In addition, even if a literature source was allocated with a MeSH term, there is a still the...
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