20 citations · 37 across the 12 of their papers we have counts for
13 papers
XAI2CSI: Interpreting CSI with eXplainable AI for Human Activity Recognition
Idio Guarino, Alfredo Nascita, Domenico Ciuonzo +2
Wi-Fi Channel State Information (CSI) has emerged as a key enabler for device-free Human Activity Recognition (HAR), enabling low-cost, unobtrusive sensing using existing communica…
An Online Gradient-Based Caching Policy with Logarithmic Complexity and Regret Guarantees
Damiano Carra, Giovanni Neglia
Commonly used caching policies, such as LRU (Least Recently Used) or LFU (Least Frequently Used), exhibit optimal performance only under specific traffic patterns. Even advanced ma…
I-SPLIT: Deep Network Interpretability for Split Computing
Federico Cunico, Luigi Capogrosso, Francesco Setti +3
This work makes a substantial step in the field of split computing, i.e., how to split a deep neural network to host its early part on an embedded device and the rest on a server.…
Ascent Similarity Caching with Approximate Indexes
T. Si-Salem, G. Neglia, D. Carra
Similarity search is a key operation in multimedia retrieval systems and recommender systems, and it will play an important role also for future machine learning and augmented real…
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters
Francesco Pace, Dimitrios Milios, Damiano Carra +2
Nowadays, data-centers are largely under-utilized because resource allocation is based on reservation mechanisms which ignore actual resource utilization. Indeed, it is common to r…
Cache-based Multi-query Optimization for Data-intensive Scalable Computing Frameworks
Pietro Michiardi, Damiano Carra, Sara Migliorini
In modern large-scale distributed systems, analytics jobs submitted by various users often share similar work, for example scanning and processing the same subset of data. Instead…
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach
Damiano Carra, Giovanni Neglia, Pietro Michiardi
We consider elastic resource provisioning in the cloud, focusing on in-memory key-value stores used as caches. Our goal is to dynamically scale resources to the traffic pattern min…
Flexible Scheduling of Distributed Analytic Applications
Francesco Pace, Daniele Venzano, Damiano Carra +1
This work addresses the problem of scheduling user-defined analytic applications, which we define as high-level compositions of frameworks, their components, and the logic necessar…
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service
Francesco Pace, Marco Milanesio, Daniele Venzano +2
An increasing number of Analytics-as-a-Service solutions has recently seen the light, in the landscape of cloud-based services. These services allow flexible composition of compute…
On Fair Size-Based Scheduling
Matteo Dell'Amico, Damiano Carra, Pietro Michiardi
By executing jobs serially rather than in parallel, size-based scheduling policies can shorten time needed to complete jobs; however, major obstacles to their applicability are fai…
PSBS: Practical Size-Based Scheduling
Matteo Dell'Amico, Damiano Carra, Pietro Michiardi
Size-based schedulers have very desirable performance properties: optimal or near-optimal response time can be coupled with strong fairness guarantees. Despite this, such systems a…
Revisiting Size-Based Scheduling with Estimated Job Sizes
Matteo Dell'Amico, Damiano Carra, Mario Pastorelli +1
We study size-based schedulers, and focus on the impact of inaccurate job size information on response time and fairness. Our intent is to revisit previous results, which allude to…
Practical Size-based Scheduling for MapReduce Workloads
Mario Pastorelli, Antonio Barbuzzi, Damiano Carra +2
We present the Hadoop Fair Sojourn Protocol (HFSP) scheduler, which implements a size-based scheduling discipline for Hadoop. The benefits of size-based scheduling disciplines are…