3 research outputs found
KAJIAN DRAMATIK DAN ESTETIK PERTUNJUKAN WAYANG KULIT GAYA BANYUMAS LAKON RESI PUJANGGA DEWA SAJIAN SUGINA SISWACARITA
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ABSTRAK
Penelitian berjudul “Kajian Dramatik Dan Estetik Pertunjukan Wayang Kulit Gaya Banyumas Lakon Resi Pujangga Dewa Sajian Sugina Siswacarita” bertujuan mengungkap permasalahan tentang: (1) Bagaimana struktur dramatik pertunjukan wayang kulit gaya Banyumas lakon Resi Pujangga Dewa sajian Sugina Siswacarita (2) Bagaimana estetika dalam pertunjukan wayang kulit gaya Banyumas lakon Resi Pujangga Dewa sajian Sugina Siswacarita. Analisis struktur dramatik lakon Resi Pujangga Dewa sajian Sugina Siswacarita, dikupas menggunakan konsep yang dikemukakan oleh Sumanto. Analisis estetika dalam lakon ini, diungkap menggunakan konsep mendhalungan yang dikemukakan oleh Bagong Pujiono.
Penelitian ini bersifat deskriptif kualitatif, yaitu dengan melakukan beberapa metode seperti, teknik pengumpulan data (studi pustaka, observasi, wawancara), dan teknik analisis data. Hasil penelitian berupa (1) Kesenimanan Sugina Siswacarita, yang meliputi: perjalanan kesenimanan Sugina Siswacarita, sejarah munculnya pakeliran Banyumasan gagrag ginoan, kreativitas Sugina Siswacarita yang berpengaruh pada pakeliran Banyumasan. (2) Analisis struktur dramatik lakon Resi Pujangga Dewa sajian Sugina Siswacarita, yang meliputi: alur, penokohan (penampilan fisik, penampilan non fisik, pikiran/perasaaan/kehendak, ujaran atau ucapan, tindakan atau perilaku, benda lain di luar tokoh, jenis penokohan), setting (aspek ruang, aspek waktu, aspek suasana), tikaian atau konflik, tema, dan amanat. (3) Analisis kajian estetik lakon Resi Pujangga Dewa sajian Sugina Siswacarita, diungkap menggunakan teori estetika mendhalungan, yang meliputi lima elemen estetik di dalamnya yaitu: gathuk, runtut, jebles, manjing, dan cucut
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs
No full textOne of the key benefits of virtualized radio access networks (vRANs) is
network management flexibility. However, this versatility raises
previously-unseen network management challenges. In this paper, a
learning-based zero-touch vRAN orchestration framework (LOFV) is proposed to
jointly select the functional splits and allocate the virtualized resources to
minimize the long-term management cost. First, testbed measurements of the
behaviour between the users' demand and the virtualized resource utilization
are collected using a centralized RAN system. The collected data reveals that
there are non-linear and non-monotonic relationships between demand and
resource utilization. Then, a comprehensive cost model is proposed that takes
resource overprovisioning, declined demand, instantiation and reconfiguration
into account. Moreover, the proposed cost model also captures different routing
and computing costs for each split. Motivated by our measurement insights and
cost model, LOFV is developed using a model-free reinforcement learning
paradigm. The proposed solution is constructed from a combination of deep
Q-learning and a regression-based neural network that maps the network state
and users' demand into split and resource control decisions. Our numerical
evaluations show that LOFV can offer cost savings by up to 69\% of the optimal
static policy and 45\% of the optimal fully dynamic policy.Comment: This paper has been accepted in Proc. of The 2022 Joint European
Conference on Networks and Communications (EuCNC) & 6G Summi
Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks
No full textIn Press / En prensaVirtualized radio access networks (vRAN) are emerging as a key component of wireless cellular networks, and it is therefore imperative to optimize their architecture. vRANs are decentralized systems where the Base Station (BS) functions can be split between the edge Distributed Units (DUs) and Cloud computing Units (CUs); hence they have many degrees of design freedom. We propose a framework for optimizing the number and location of CUs, the function split for each BS, and the association and routing for each DU-CU pair. We combine a linearization technique with a cutting-planes method to expedite the exact problem solution. The goal is to minimize the network costs and balance them with the criterion of centralization, i.e., the number of functions placed at CUs. Using data-driven simulations we find that multi-CU vRANs achieve cost savings up to 28% and improve centralization by 77%, compared to single-CU vRANs. Interestingly, we see non-trivial trade-offs among centralization and cost, which can be aligned or conflicting based on the traffic and network parameters. Our work sheds light on the vRAN design problem from a new angle, highlights the importance of deploying multiple CUs, and offers a rigorous optimization tool for balancing costs and performance.This work was supported by Science Foundation Ireland (SFI) under Grant No. 17/CDA/4760. This work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709). This publication has emanated from research supported in part by a research grant from SFI and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077
