Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems

Denninnart, Chavit; Salehi, Mohsen Amini

doi:10.1109/tpds.2021.3097911

Cited by 7 publications

(6 citation statements)

References 31 publications

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“…These characteristics make the serverless systems potent for task duplication and reusing with proven performance gains. 95,96 While serverless platforms can execute tasks in a pipeline to complete a workflow, each task in the workflow is often executed on the same unified execution engine. This is different from what commonly occurs across edge-to-cloud continuum, where the edge generally takes care of the pre-processing and the core processing happens on the cloud.…”

Section: Serverless Computing Versus Other Distributed Computing Para...mentioning

confidence: 99%

“…Approximate data storage can be achieved via either persisting only a portion of the data or scrambling multiple data points together. For instance, in a serverless multimedia cloud 8,95 only base video formats can be persisted, and other less popular formats can be transcoded lazily-upon receiving a user request. For the content types that are error sensitive, similar data points can be stored together, that is, merged, via lossless data compression methods, 135 whereas, for the content types that can tolerate minor errors, for example, multimedia and image, lossy compression methods 136 can be employed to approximate similar data, thereby, carry out a more effective compression.…”

Section: Approximate Data Storage and Data Pruningmentioning

confidence: 99%

“…Although the serverless functions are user‐defined, they are stateless and fine‐grained (i.e., they are typically single‐purpose), rather than complex stateful applications in other paradigms. These characteristics make the serverless systems potent for task duplication and reusing with proven performance gains 95,96 . While serverless platforms can execute tasks in a pipeline to complete a workflow, each task in the workflow is often executed on the same unified execution engine.…”

Section: Serverless Computing Versus Other Distributed Computing Para...mentioning

confidence: 99%

See 2 more Smart Citations

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Denninnart,

Chanikaphon,

Amini Salehi

2023

Softw Pract Exp

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SummaryServerless computing along with Function‐as‐a‐Service (FaaS) is forming a new computing paradigm that is anticipated to found the next generation of cloud systems. The popularity of this paradigm is due to offering a highly transparent infrastructure that enables user applications to scale in the granularity of their functions. Since these often small and single‐purpose functions are managed on shared computing resources behind the scene, a great potential for computational reuse and approximate computing emerges that if unleashed, can remarkably improve the efficiency of serverless cloud systems—both from the user's QoS and system's (energy consumption and incurred cost) perspectives. Accordingly, the goal of this survey study is to, first, unfold the internal mechanics of serverless computing and, second, explore the scope for efficiency within this paradigm via studying function reuse and approximation approaches and discussing the pros and cons of each one. Next, we outline potential future research directions within this paradigm that can either unlock new use cases or make the paradigm more efficient.

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Section: Serverless Computing Versus Other Distributed Computing Para...mentioning

confidence: 99%

Section: Approximate Data Storage and Data Pruningmentioning

confidence: 99%

Section: Serverless Computing Versus Other Distributed Computing Para...mentioning

confidence: 99%

See 1 more Smart Citation

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Denninnart,

Chanikaphon,

Amini Salehi

2023

Softw Pract Exp

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“…task merging) on the arriving identical or similar tasks to make use of the cloud resource more efficiently, as elaborated in our prior study. 41…”

Section: Task Admission Controlmentioning

confidence: 99%

SMSE: A serverless platform for multimedia cloud systems

Denninnart,

Amini Salehi

2023

Concurrency and Computation

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SummaryAlong with the rise of domain‐specific computing (ASICs hardware) and domain‐specific programming languages, we envision that the next step is the emergence of domain‐specific cloud platforms. Considering multimedia streaming as one of the most trendy applications in the IT industry, the goal of this study is to develop serverless multimedia streaming engine (SMSE), the first domain‐specific serverless platform for multimedia streaming. SMSE democratizes multimedia service development via enabling content providers (or even end‐users) to rapidly develop their desired functionalities on their multimedia contents. Upon developing SMSE, the next goal of this study is to deal with its efficiency challenges and develop a function container provisioning method that can efficiently utilize cloud resources and improve the users' quality of service. In particular, we develop a dynamic method that provisions durable or ephemeral containers depending on the spatiotemporal and data‐dependency characteristics of the functions. Evaluating the prototype implementation of SMSE under real‐world settings demonstrates its capability to reduce both the containerization overhead, and the makespan time of serving multimedia processing functions (by up to 30%) in compare to the function provision methods that are being used in the general‐purpose serverless cloud systems.

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“…It prevents cloud-hosting infrastructures (e.g., hypervisors [75]) access to their sensitive data. Establishing CCC depends on the cloud computing paradigm, namely serverful (elaborated in the next section) vs serverless [76], and the middleware used to offer the services in each paradigm. Moreover, it depends to the type of isolation (virtualization) that is offered in each paradigm [77].…”

Section: Confidential Computing: Edge-to-cloud Perspectivementioning

confidence: 99%

Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge

Zobaed

Mokhtari

Champati

et al. 2022

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)

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Confidential computing has gained prominence due to the escalating volume of datadriven applications (e.g., machine learning and big data) and the acute desire for secure processing of sensitive data, particularly, across distributed environments, such as edge-to-cloud continuum. Provided that the works accomplished in this emerging area are scattered across various research fields, this paper aims at surveying the fundamental concepts, and cutting-edge software and hardware solutions developed for confidential computing using trusted execution environments, homomorphic encryption, and secure enclaves. We underscore the significance of building trust in both hardware and software levels and delve into their applications particularly for machine learning (ML) applications. While substantial progress has been made, there are some barely-explored areas that need extra attention from the researchers and practitioners in the community to improve confidentiality aspects, develop more robust attestation mechanisms, and to address vulnerabilities of the existing trusted execution environments. Providing a comprehensive taxonomy of the confidential computing landscape, this survey enables researchers to advance this field to ultimately ensure the secure processing of users' sensitive data across a multitude of applications and computing tiers.

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Harnessing the Potential of Function-Reuse in Multimedia Cloud Systems

Cited by 7 publications

References 31 publications

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

SMSE: A serverless platform for multimedia cloud systems

Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge

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