In the era of digital world data flows are saturated with development of universal multifunctional system to solve problems and to optimise the computing resources. The information system is highly loaded with modern ...
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Service Science and engineering play an important role in service economy. In order to meet the demands of professionals for modern service industry, service-oriented manufacturing, and service-oriented society, it is...
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ISBN:
(纸本)9798350368529;9798350368512
Service Science and engineering play an important role in service economy. In order to meet the demands of professionals for modern service industry, service-oriented manufacturing, and service-oriented society, it is necessary to cultivate many innovative service professionals who understand information technologies, management, and services. Education on service science and engineering has been established and developed for more than twenty years. This paper summarizes the connotations and development process of education on service science and engineering, shows the relevant knowledge-bodies and curricula for service science and engineering, introduces the best practice and experiences of service science and engineering education, and presents the considerations and suggestions on the future development of service science and engineering education.
The development of proposed deepfake detection techniques plays a prominent role in the safeguarding the multimedia information. The various challenges are addressed using the aid of deep learning techniques. This inv...
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Artificial Intelligence has profoundly impacted system and softwareengineering by facilitating the automation of complicated tasks, reducing errors, and accelerating the development process. AI-driven tools help enha...
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software diversification is an effective software protection method against reverse engineering and code reuse attacks, which can provide heterogeneous redundant execution bodies for mimetic defense mechanisms. Most e...
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Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as workflows of multiple independent functions. While cloud providers usually offer composition services for such w...
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ISBN:
(纸本)9798331528690;9798331528706
Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as workflows of multiple independent functions. While cloud providers usually offer composition services for such workflows, they do not support cross-platform workflows forcing developers to hardcode the composition logic. Furthermore, FaaS workflows tend to be slow due to cascading cold starts, inter-function latency, and data download latency on the critical path. In this paper, we propose GEOFF, a serverless choreography middleware that executes FaaS workflows across different public and private FaaS platforms, including ad-hoc workflow recomposition. Furthermore, GEOFF supports function pre-warming and data pre-fetching. This minimizes end-to-end workflow latency by taking cold starts and data download latency off the critical path. In experiments with our proof-of-concept prototype and a realistic application, we were able to reduce end-to-end latency by more than 50%.
In the domain of Cloud computing, Fog computing is integrated with the Cloud to offer a balanced approach that combines Cloud's scalability with Fog's low latency, enabling efficient software application deplo...
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ISBN:
(纸本)9798350368529;9798350368512
In the domain of Cloud computing, Fog computing is integrated with the Cloud to offer a balanced approach that combines Cloud's scalability with Fog's low latency, enabling efficient software application deployment. However, many current studies overlook the unpredictability of future user requests, such as assuming all requests are known beforehand. User requests often arrive dynamically and may have different quality of service (QoS) preferences. Therefore we need effective methods to handle dynamic application deployment with multiple objectives. This paper tackles this gap by modeling a multi-objective application deployment problem that considers dynamically arriving users' requests on application deployment in a Cloud-Fog environment. We further introduce a multi-objective Genetic Programming Hyper-Heuristic based approach to automatically generate a set of deployment rules that can be chosen according to users' QoS preferences. These rules are generated with different trade-offs of two optimization objectives, i.e., minimizing cost and latency, which can be used for deploying applications dynamically. Our experimental evaluation using real-world data demonstrates that our GPHH approach can generate effective heuristics for deploying applications in an integrated Cloud-Fog environment.
multimedia data production, such as audio, video, and acoustic measurements in large volumes and speed, has approached the scale of big data in many sensor networks. multimedia Sensor Networks (MSN) are popular becaus...
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This article provides a review of the application of intent-driven networks in smart grids, suitable for domestic journals focusing on review or prospective articles. Firstly, the article introduces the concept of int...
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Beyond implementation correctness of a distributed system, it is equally important to understand exactly what users should expect to see from that system. Even if the system itself works as designed, insufficient unde...
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ISBN:
(纸本)9798350300376
Beyond implementation correctness of a distributed system, it is equally important to understand exactly what users should expect to see from that system. Even if the system itself works as designed, insufficient understanding of its user-observable semantics can cause bugs in its dependencies. By focusing a formal specification effort on precisely defining the expected user-observable behaviors of the Azure Cosmos DB service at Microsoft, we were able to write a formal specification of the database that was significantly smaller and conceptually simpler than any other specification of Cosmos DB, while representing a wider range of valid user-observable behaviors than existing more detailed specifications. Many of the additional behaviors we documented were previously poorly understood outside of the Cosmos DB development team, even informally, leading to data consistency errors in Microsoft products that depend on it. Using this specification, we were able to raise two key issues in Cosmos DB's public-facing documentation, which have since been addressed. We were also able to offer a fundamental solution to a previous high-impact outage within another Azure service that depends on Cosmos DB.
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