Table 2 Notations used in FTTHDRL system architecture.

From: Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

Notation

Meaning

\(loa{d}_{{v}_{j}}\)

Running tasks on \(j\) VMs

\(loa{d}_{p{n}_{k}}\)

Running tasks on \(k\) physical nodes

\(tota{l}_{pr{o}_{v{m}_{j}}}\)

Total processing capacity of all \(j\) VMs

\({ta}_{i}^{len}\)

Length of \(i\) tasks

\({ta}_{i}^{pri}\)

Priorities of \(i\) tasks

\({v}_{j}^{pri}\)

Priorities of \(j\) VMs

\(Re{s}_{cost}\)

Resource cost in cloud environment

\(ms\left(t{a}_{i}\right)\)

Makespan of \(i\) tasks

\(Fai{l}_{rate}\)

Fault tolerance or rate of failures of \(i\) tasks

\(avail\left({v}_{j}\right)\)

Availability of \(j\) VMs

\(su{c}_{rate}\left({v}_{j}\right)\)

Success rate of \(j\) VMs

\(tur{n}_{eff}\left({v}_{j}\right)\)

Turn around efficiency of \(j\) VMs

\(trs{t}_{cp}\)

Trust on Cloud provider

\(stat{e}_{t{a}_{i}}\)

State space of considered \(i\) tasks

\(Ac{t}_{t{a}_{i}}\)

Action space of considered \(i\) tasks

\(Re{w}_{fn}\)

Reward function

\(\Delta\)

Rate of learning

\(\omega\)

Discount factor

\(rm\)

Replay memory