Planaria: Dynamic architecture fission for spatial multi-tenant acceleration of deep neural networks
S Ghodrati, BH Ahn, JK Kim, S Kinzer… - 2020 53rd Annual …, 2020 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have reinvigorated real-world applications that rely on
learning patterns of data and are permeating into different industries and markets. Cloud …
learning patterns of data and are permeating into different industries and markets. Cloud …
Grandslam: Guaranteeing slas for jobs in microservices execution frameworks
The microservice architecture has dramatically reduced user effort in adopting and
maintaining servers by providing a catalog of functions as services that can be used as …
maintaining servers by providing a catalog of functions as services that can be used as …
A comprehensive review of AI applications in Automated Container Orchestration, Predictive maintenance, security and compliance, resource optimization, and …
V Bandari - International Journal of Intelligent Automation …, 2021 - research.tensorgate.org
Artificial intelligence (AI) is a rapidly growing field with numerous applications, and
containerization is one area where AI can play a significant role. This research discusses …
containerization is one area where AI can play a significant role. This research discusses …
Spock: Exploiting serverless functions for slo and cost aware resource procurement in public cloud
JR Gunasekaran, P Thinakaran… - 2019 IEEE 12th …, 2019 - ieeexplore.ieee.org
We are witnessing the emergence of elastic web services which are hosted in public cloud
infrastructures. For reasons of cost-effectiveness, it is crucial for the elasticity of these web …
infrastructures. For reasons of cost-effectiveness, it is crucial for the elasticity of these web …
Kube-knots: Resource harvesting through dynamic container orchestration in gpu-based datacenters
P Thinakaran, JR Gunasekaran… - … on cluster computing …, 2019 - ieeexplore.ieee.org
Compute heterogeneity is increasingly gaining prominence in modern datacenters due to
the addition of accelerators like GPUs and FPGAs. We observe that datacenter schedulers …
the addition of accelerators like GPUs and FPGAs. We observe that datacenter schedulers …
Knowledge representation of the state of a cloud-native application
J Kosińska, G Brotoń, M Tobiasz - International Journal on Software Tools …, 2024 - Springer
Cloud Computing has revolutionized the way applications are developed, deployed, and
maintained. Over the past decade, we have observed dynamically growing interest in Cloud …
maintained. Over the past decade, we have observed dynamically growing interest in Cloud …
Mocha: Multinode cost optimization in heterogeneous clouds with accelerators
FPGAs have been widely deployed in public clouds, eg, Amazon Web Services (AWS) and
Huawei Cloud. However, simply offloading accelerated kernels from CPU hosts to PCIe …
Huawei Cloud. However, simply offloading accelerated kernels from CPU hosts to PCIe …
Understanding energy efficiency in iot app executions
Billions of Internet-of-Things (IoT) devices such as sensors, actuators, computing units, etc.,
are connected to form IoT platforms. However, it is observed that such hardware platforms …
are connected to form IoT platforms. However, it is observed that such hardware platforms …
Caliper: Interference estimator for multi-tenant environments sharing architectural resources
We introduce Caliper, a technique for accurately estimating performance interference
occurring in shared servers. Caliper overcomes the limitations of prior approaches by …
occurring in shared servers. Caliper overcomes the limitations of prior approaches by …
Quality aware batch scheduling of containers in cloud computing environment
SA Poojitha, K Ravindranath - International Journal of Information …, 2025 - Springer
The proposed scheduling method for cloud computing called “quality-aware batch
scheduling of containers (QABSC)” gives priority to timely completion of tasks that are …
scheduling of containers (QABSC)” gives priority to timely completion of tasks that are …