Serverless Applications: Why, When, and How?

international journal for research in applied science and engineering technology ijraset, 2020

Serverless computing has become a compelling new model for the implementation of peripherals and utilities. It represents the emergence of computer systems, abstractions and interfaces, and pays tribute to the growing popularity and creation of software. Serverless architecture involves custom code that integrates with a third-party back-end as a service (BaaS) or runs in an intangible jar maintained on a "function as a service" platform (FaaS). Application prototype. These architectures contemplate using the same ideas and related topics such as single page applications to still get rid of most of the typical component uses on the server. Serverless architectures can benefit from a significant reduction in operating costs, sophistication and development time at the expense of increased supplier dependencies and increased dependence on relatively inexperienced support systems.. Serverless is the next evolution of cloud computing. This helps with application development without having to worry about storage, hardware, and processing of applications. Developers must manage business logic. Useful when microservices execute business logic. It offers great flexibility at virtually any speed. The serverless architecture allows consumers to rethink cutting-edge products from concept to manufacturing without having to wait and sweat on the system.

International Journal of Innovative Science and Research Technology, 2024

Serverless computing has emerged as a transformative paradigm in cloud infrastructure, offering organizations the ability to scale their applications dynamically without the burden of managing underlying servers. By abstracting away the provisioning and scaling of infrastructure, serverless computing enables developers to focus on building and deploying their applications, while the cloud provider handles the autoscaling, load balancing, and fault tolerance. This paper examines the key benefits and challenges of serverless computing, with a particular emphasis on optimizing resource utilization and cost efficiency. The findings suggest that serverless computing can lead to significant improvements in resource utilization and cost savings, but organizations must also address challenges related to cold starts, vendor lock-in, and monitoring complexity to fully realize the potential of this cloud computing paradigm.

2018

Serverless computing has emerged as a new cloud computing paradigm, where an application consists of individual functions that can be separately managed and executed. However, existing serverless platforms normally isolate and execute functions in separate containers, and do not exploit the interactions among functions for performance. These practices lead to high startup delays for function executions and inefficient resource usage. This paper presents SAND, a new serverless computing system that provides lower latency, better resource efficiency and more elasticity than existing serverless platforms. To achieve these properties, SAND introduces two key techniques: 1) application-level sandboxing, and 2) a hierarchical message bus. We have implemented and deployed a complete SAND system. Our results show that SAND outperforms the state-of-the-art serverless platforms significantly. For example, in a commonly-used image processing application, SAND achieves a 43% speedup compared to...

The 33rd International Conference on Software Engineering & Knowledge Engineering, 2021

Serverless computing is increasingly popular because of its lower cost and easier deployment. Several cloud service providers (CSPs) offer serverless computing on their public clouds, but it may bring the vendor lock-in risk. To avoid this limitation, many open-source serverless platforms come out to allow developers to freely deploy and manage functions on self-hosted clouds. However, building effective functions requires much expertise and thorough comprehension of platform frameworks and features that affect performance. It is a challenge for a service developer to differentiate and select the appropriate serverless platform for different demands and scenarios. Thus, we elaborate the frameworks and event processing models of four popular open-source serverless platforms and identify their salient idiosyncrasies. We analyze the root causes of performance differences between different service exporting and auto-scaling modes on those platforms. Further, we provide several insights for future work, such as auto-scaling and metric collection.

Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

Serverless computing has become a major trend among cloud providers. With serverless computing, developers fully delegate the task of managing the servers, dynamically allocating the required resources, as well as handling availability and fault-tolerance matters to the cloud provider. In doing so, developers can solely focus on the application logic of their software, which is then deployed and completely managed in the cloud. Despite its increasing popularity, not much is known regarding the actual system performance achievable on the currently available serverless platforms. Specifically, it is cumbersome to benchmark such systems in a language- or runtime-independent manner. Instead, one must resort to a full application deployment, to later take informed decisions on the most convenient solution along several dimensions, including performance and economic costs. FaaSdom is a modular architecture and proof-of-concept implementation of a benchmark suite for serverless computing p...

Serverless computing architecture is a micro services architecture where developers can focus only on functionality of the system and ignore system operations such as manage servers to optimistically run the software, manage databases, scale storage, memory etc. These frameworks often abstract from the specificities of serverless platforms, or allow the development of a mini serverless model over established clouds. Serverless computing is a modern cloud computing architecture promising to revolutionize the way apps are designed and distributed. Tiny pieces of tool called functions are deployed in this computing form in the cloud without management and software development at lowest possible costs.

IEEE Transactions on Software Engineering, 2022

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International Journal of Computing & Network Technology, 2018

Serverless computing has emerged as a new compelling paradigm for the deployment of applications and services. It represents an evolution of cloud programming models, abstractions, and platforms, and is a testament to the maturity and wide adoption of cloud technologies. In this research, we discuss the new concept in cloud computing that allows the services computation that triggers the code execution as a response for certain events. Cloud computing as provisioning more servers on demand are one of the primary issues and traffic of servers or load is not consistent. The Services are moved to the cloud and a great change is observed in all fields. People are more comfortable having their services on the Internet. As E-commerce services have reached exponential growth. The problem associated with this research is that the organization often spends huge chunks of dollars only for server provisioning, and another chunk for its security and management. As compared to serverless, the vendor serves all security and management aspects. Mostly the Online service providers are often stuck with unexpected traffic. Having more provisioned servers creates a hike in prices. There are needed to be a solution where vendors can only have to pay for the services on demand and describes serverless infrastructure, which assists to do all without taking care of these as a simple model and a simple structure. In this research, the serverless architecture service is providing the use of functions, which are on clusters and compels users "Pay as you go", is more refined in serverless, and now is known by "Pay what is used". It represents an evolution of cloud programming models has gained increasing attention by researchers. It concludes the impact, legacy application migration and using this new approach as standard to build the application. Serverless architecture is far greater than having a legacy approach. Its word to mouth to say serverless will prevail all others but still having the approach might take time. This is not only a cost-effective factor; rather a huge portion of service is somehow is outsource to a vendor. An extension of the restricted time limit by cloud vendors will allow running the complete workflow using the serverless architecture with avoiding the scheduling problem.

Journal of Grid Computing, 2020

We propose a benchmarking test suite to evaluate performance of cloud serverless platforms and an open source software tool to automate the test process. Additionally, we used this setup to compare the commercial offers of Amazon, Google, Microsoft, and IBM. The work builds on ideas and experiments reported in the literature that, nevertheless, did not offer a "standard" set of coherent and comprehensive tests, capable of analyzing diverse serverless platforms, across the same set of features. To that end, we defined seven tests that cover scalability (latency and throughput), the effect of allocated memory, the performance for CPU-bound cases, the impact of payload size, the influence of the programming language, resource management (e.g., reuse of containers), and overall platform overhead. We created a software tool to deploy the test code and collect metrics in a manner agnostic to the serverless platforms under study. At a time when serverless computing popularity is rising, this benchmarking suite and software test tool enable

ArXiv, 2019

Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. It provides an interface that greatly simplifies cloud programming, and represents an evolution that parallels the transition from assembly language to high-level programming languages. This paper gives a quick history of cloud computing, including an accounting of the predictions of the 2009 Berkeley View of Cloud Computing paper, explains the motivation for serverless computing, describes applications that stretch the current limits of serverless, and then lists obstacles and research opportunities required for serverless computing to fulfill its full potential. Just as the 2009 paper identified challenges for the cloud and predicted they would be addressed and that cloud use would accelerate, we predict these issues are solvable and that serverless computing will grow to dominate the future of cloud computing.