activity
20232026
most citedPower Aware Container Placement in Cloud Computing with Affinity and Cubic Power Model

2 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DC2026

Learning based Scalable Multi-Objective Scheduling of Workflows across UD-IaaS-FaaS Systems

G Vasantha Reddy, Ram Bansal, Krashna +2

Workflow scheduling in user device-centric edge-cloud computing has emerged as a challenging problem due to the need to jointly optimize execution performance, energy consumption,…

cs.DC2026

LLM-Based Multi-Agent Collaboration for Constrained Multi-Objective Container Placement

Suvarthi Sarkar, Abhishek Hazra, Akshat Mittal +1

Container placement in data centers must simultaneously minimize power consumption and maximize affinity preferences, while satisfying multi-resource capacity and anti-affinity con…

cs.DC2025

Adaptive K-PackCache: Cost-Centric Data Caching in Cloud

Suvarthi Sarkar, Aadarshraj Sah, Poddutoori Sweeya Reddy +1

Recent advances in data analytics have enabled the accurate prediction of user access patterns, giving rise to the idea of packed caching delivering multiple co accessed data items…

cs.DC2025

DSPE: Profit Maximization in Edge-Cloud Storage System using Dynamic Space Partitioning with Erasure Code

Shubhradeep Roy, Suvarthi Sarkar, Vivek Verma +1

Edge Storage Systems have emerged as a critical enabler of low latency data access in modern cloud networks by bringing storage and computation closer to end users. However, the li…

cs.DC2025★ 1 cited

Minimizing Energy in Reliability and Deadline-Ensured Workflow Scheduling in Cloud

Suvarthi Sarkar, Dhanesh V, Ketan Singh +1

With the increasing prevalence of computationally intensive workflows in cloud environments, it has become crucial for cloud platforms to optimize energy consumption while ensuring…

cs.DC2025

Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model

Suvarthi Sarkar, Sparsh Mittal, Shivam Garg +1

Cloud computing has become a pivotal platform for executing scientific workflows due to its scalable and cost-effective infrastructure. Scientific Cloud Service Providers (SCSPs) a…

cs.DC2024

Efficient Scheduling of Vehicular Tasks on Edge Systems with Green Energy and Battery Storage

Suvarthi Sarkar, Abinash Kumar Ray, Aryabartta Sahu

The autonomous vehicle industry is rapidly expanding, requiring significant computational resources for tasks like perception and decision-making. Vehicular edge computing has emer…

cs.DC2024★ 2 cited

Power Aware Container Placement in Cloud Computing with Affinity and Cubic Power Model

Suvarthi Sarkar, Nandini Sharma, Akshat Mittal +1

Modern data centres are increasingly adopting containers to enhance power and performance efficiency. These data centres consist of multiple heterogeneous machines, each equipped w…

cs.DC2024

QoS Aware Mixed-Criticality Task Scheduling in Vehicular Edge Cloud System

Suvarthi Sarkar, Aditya Trivedi, Ritish Bansal +1

Modern-day cars are equipped with numerous cameras and sensors, typically integrated with advanced decision-control systems that enable the vehicle to perceive its surroundings and…

cs.DC2023★ 1 cited

Efficient Profit Maximization in Reliability Concerned Static Vehicular Cloud System

Suvarthi Sarkar, Akshat Arun, Harshit Surekha +1

Modern electric VUs are equipped with a variety of increasingly potent computing, communication, and storage resources, and with this tremendous computation power in their arsenal…