A review of literature on performance measurement of supply chain network
A Ramaa, TM Rangaswamy… - … on Emerging Trends in …, 2009 - ieeexplore.ieee.org
In today's competitive world, performance measurement of the supply chain is the key for
effective supply chain management. The performance measurement can be utilized to …
effective supply chain management. The performance measurement can be utilized to …
KPart: A hybrid cache partitioning-sharing technique for commodity multicores
Cache partitioning is now available in commercial hardware. In theory, software can
leverage cache partitioning to use the last-level cache better and improve performance. In …
leverage cache partitioning to use the last-level cache better and improve performance. In …
Canvas: Isolated and adaptive swap** for {Multi-Applications} on remote memory
Remote memory techniques for datacenter applications have recently gained a great deal of
popularity. Existing remote memory techniques focus on the efficiency of a single application …
popularity. Existing remote memory techniques focus on the efficiency of a single application …
SWAP: Effective fine-grain management of shared last-level caches with minimum hardware support
Performance isolation is an important goal in server-class environments. Partitioning the last-
level cache of a chip multiprocessor (CMP) across co-running applications has proven …
level cache of a chip multiprocessor (CMP) across co-running applications has proven …
Spectr: Formal supervisory control and coordination for many-core systems resource management
Resource management strategies for many-core systems need to enable sharing of
resources such as power, processing cores, and memory bandwidth while coordinating the …
resources such as power, processing cores, and memory bandwidth while coordinating the …
Satori: efficient and fair resource partitioning by sacrificing short-term benefits for long-term gains
Multi-core architectures have enabled data centers to increasingly co-locate multiple jobs to
improve resource utilization and lower the operational cost. Unfortunately, naively co …
improve resource utilization and lower the operational cost. Unfortunately, naively co …
Collaborative heterogeneity-aware os scheduler for asymmetric multicore processors
Asymmetric multicore processors (AMP) offer multiple types of cores under the same
programming interface. Extracting the full potential of AMPs requires intelligent scheduling …
programming interface. Extracting the full potential of AMPs requires intelligent scheduling …
Adaptive page migration policy with huge pages in tiered memory systems
To accommodate the growing demand for memory capacity in a cost-effective way, multiple
types of memory are incorporated in a single system. In such tiered memory systems …
types of memory are incorporated in a single system. In such tiered memory systems …
Amdahl's Law in the datacenter era: A market for fair processor allocation
We present a processor allocation framework that uses Amdahl's Law to model parallel
performance and a market mechanism to allocate cores. First, we propose the Amdahl utility …
performance and a market mechanism to allocate cores. First, we propose the Amdahl utility …
Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems
Power management and optimization play a significant role in modern computer systems,
from battery-powered devices to servers running in data centres. Existing approaches for …
from battery-powered devices to servers running in data centres. Existing approaches for …