Service Storm: A Self-Service Telecommunication Service Delivery Platform with Platform-as-a-Service Technology

Zhou, Yu; Xue, Liang; Liu, Xin Peng; Wang, Xi Ning; Liang, Xiao Xing; Sun, Chang Hua

doi:10.1109/services.2010.45

Cited by 12 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where Q −1 (x) is the inverse of the Gaussian Q function. Formula (5) indicates that the computation result of L u bits is encoded into a code-word block of l u symbols, and subsequently transmitted by the network operator [16]. It should be pointed out that the premise of the approximation here is that l u ≥ l min , where l min is the shortest blocklength.…”

Section: Computation and Communication Modelmentioning

confidence: 99%

“…In the trading market, service providers rely on their service delivery resources, such as Information Technology (IT) infrastructure (i.e. large data centres), to dominate the content distribution for profitability [4][5][6]. Network operators, in addition to providing basic communication links, can also rent out edge computing resources near access points (APs) to earn revenue [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resource allocation and energy trading in the short blocklength regime for radio access networks

Cao,

Zhou,

Chen

et al. 2023

IET Communications

View full text Add to dashboard Cite

With the large‐scale deployment of communication and computation units, the conventional radio access network has been gradually transformed into a sophisticated Cyber‐Physical System. Since the access network is put forward higher expectations for ultra‐reliable and low‐latency services, Short‐Packet Communications (SPC) based on Finite Blocklength Codes can be adopted to further decrease network latency and enhance communication reliability. Considering the interaction among the service provider, the network operator, and users, a three‐stage Stackelberg game is constructed to dynamically arrange communication and computation resources. In this paper, the tripartite interaction problem is modelled as a generalized Nash equilibrium problem, and the reverse induction method is employed to achieve the sub‐game equilibrium. To solve the problem of maximizing tripartite utilities, the authors propose an iterative algorithm for jointly managing resource allocation and tripartite pricing. Simulation results show that compared with the benchmark, the proposed scheme can effectively improve the utilities of users, the service provider, and the network operator and achieve a win–win situation.

show abstract

Section: Computation and Communication Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resource allocation and energy trading in the short blocklength regime for radio access networks

Cao,

Zhou,

Chen

et al. 2023

IET Communications

View full text Add to dashboard Cite

show abstract

“…Lu et al (2015) pointed out that with the development of customer capability in technology and mobile self-service, customers have personalized service experience based on their specific knowledge and skills. Zhou et al (2010) suggested using Platform-as-a-Service (PaaS), whereby services are more targeted, focused, and personalized to maintain customer loyalty and increase an organization's revenue. On the other hand, Riahi and Ristock (2014) proposed conventional interaction, whereby a contact centre provides a centralized customer service handled by live agents who, for example, answer telephone calls, respond to emails, and conduct live chats, and make outbound calls.…”

Section: Introductionmentioning

confidence: 99%

MOFTI: Mobile Self-Service Framework to Uplift Customer Experience for the Telecommunications Industry in Malaysia

Bakar¹,

Sofian²,

Jomhari³

2022

JST

View full text Add to dashboard Cite

The new era of digital technologies has caused customers to require more efficient, easier access and immediate services. The first concern in the telecommunications industry is unpleasant conventional interactions (live agents) and interactive voice responses. The second area of concern is the operational change due to the MCO, which has impacted customer experience at physical counters. MCO imposes physical distancing at physical counters, with customers required to be at least one metre apart. Some businesses have imposed long queues to avoid congestion within a limited space, forcing customers to queue outside business spaces: perhaps along the road, in front of other premises, and under uncertain weather conditions. The shortened working hours during the MCO have amplified the number of unresolved issues among customers and long queues. This research aims to formulate a proposed framework for uplifting customer experience while managing the restrictions people face due to the MCO. The proposed solution is based on a literature review, reviewing existing mobile apps, and analysing data collected in 2020 through surveys and interviews. The evaluation results show that the proposed solution can be a guide for telecommunications service providers to enhance the customer’s experience of their self-service platforms while managing the restrictions people face due to the MCO. The novelty of this research is aligned with the Industrial Revolution 4.0 to reduce the workforce through the automation of business processes to meet the demands of the future economy.

show abstract

“…Figure 1 shows the major difference between onsite and online application model [5]. Cloud computing enables telecom operators to offer communication services at reduced price for subscribers and ability for serving the next generations of terminals like smartphones, tablets, and new generation wearable devices [3]. Cloud computing provides a new business opportunity for Telecom Service Providers (TSP) who are well positioned to combine cloud computing services with securely managed networking to meet the customer requirements for secure and high performance cloud services.…”

Section: Introductionmentioning

confidence: 99%

“…Cloud computing provides a new business opportunity for Telecom Service Providers (TSP) who are well positioned to combine cloud computing services with securely managed networking to meet the customer requirements for secure and high performance cloud services. Onsite and Online application model [5] Cloud computing has the potential to affect the operational and revenue models of the telecom sector [3]. The cloud computing can impact on telecom Operations Support System (OSS) and Business Support Systems (BSS) which control the primary and supporting activities of the telecom business [9].…”

Section: Introductionmentioning

confidence: 99%

Telecom grade cloud computing: Challenges and opportunities

Jose

Kumar

2015

2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)

View full text Add to dashboard Cite

Cloud computing and virtualization are two key technology priorities for telecom service providers. Besides total cost reduction, there are many strategic objectives while adopting cloud technology into the telecom sector. Telecom service providers core assets and strength lies in their communication networks, but these alone are not enough to maintain the industry in the higher level that it once enjoyed. Combining cloud computing technology and networks, telecom service providers can become a significant force in the cloud providers domain and more importantly to return to the growth path. This work evaluates the new challenges and opportunities that are offered by the adoption of cloud and virtualization technologies in telecom sector and its impact on industry value chain and the operational model. Results indicate that even though there are many technical and non-technical challenges still existing, security is still considered as the primary concern that forces cloud into back foot. This study also brings out the fact that, like all other technologies involving in business, cloud technology also brings in many new advantages as well as few disadvantages.Whilst several studies and research works have been done on cloud computing for IT sector, limited research work has been found on cloud computing for telecommunication. Also, majority of the research done in this area is based on industrial research perspective. The significance of our work comes in this context.

show abstract

Service Storm: A Self-Service Telecommunication Service Delivery Platform with Platform-as-a-Service Technology

Abstract: Abstract-To

Cited by 12 publications

References 4 publications

Resource allocation and energy trading in the short blocklength regime for radio access networks

Resource allocation and energy trading in the short blocklength regime for radio access networks

MOFTI: Mobile Self-Service Framework to Uplift Customer Experience for the Telecommunications Industry in Malaysia

Telecom grade cloud computing: Challenges and opportunities

Contact Info

Product

Resources

About